3679 Iam Jobs - Page 2

We are seeking AWS Cloud DEVOPS Engineers, who will be part of the Engineering team and collaborating with software development, quality assurance, and IT operations teams to deploy and maintain production systems in the cloud. This role requires a engineer who is passionate about provisioning and maintaining a reliable, secure, and scalable production systems. We are a small team of highly skilled engineers and looking forward to adding a new member who wishes to advance in one's career by continuous learning. Selected candidates will be an integral part of a team of passionate and enthusiastic IT professionals, and have tremendous opportunities to contribute to the success of the products. What you will do Ideal candidate will be responsible for Deploying, automating, maintaining, managing and monitoring an AWS production system including software applications and cloud-based infrastructure Monitor system performance and troubleshoot issues Engineer solutions using AWS services (Cloud Formation, EC2, Lambda, Route 53, ECS, EFS ) Use DevOps principles and methodologies to enable the rapid deployment of software and services by coordinating software development, quality assurance, and IT operations Making sure AWS production systems are reliable, secure, and scalable Create and enforce policies related to AWS usage including sample tagging, instance type usage, data storage Resolving problems across multiple application domains and platforms using system troubleshooting and problem-solving techniques Automating different operational processes by designing, maintaining, and managing tools Provide primary operational support and engineering for all Cloud and Enterprise deployments Lead the organisations platform security efforts by collaborating with the core engineering team Design, build, and maintain containerization using Docker, and manage container orchestration with Kubernetes Set up monitoring, alerting, and logging tools (e.g., zabbix) to ensure system reliability. Collaborate with development, QA, and operations teams to design and implement CI/CD pipelines with Jenkins Develop policies, standards, and guidelines for IAC and CI/CD that teams can follow Automate and optimize infrastructure tasks using tools like Terraform, Ansible, or CloudFormation. Support InfoSec scans and compliance audits Ensure security best practices in the cloud environment, including IAM management, security groups, and network firewalls. Contribute sto the optimization of system performance and cost. Promotes knowledge sharing activities within and across different product teams by creating and engaging in communities of practice and through documentation, training, and mentoring Keep skills up to date through ongoing self-directed training What skills are required Ability to learn new technologies quickly. Ability to work both independently and in collaborative teams to communicate design and build ideas effectively. Problem-solving, and critical-thinking skills including ability to organize, analyze, interpret, and disseminate information. Excellent spoken and written communication skills Must be able to work as part of a diverse team, as well as independently Ability to follow departmental and organizational processes and meet established goals and deadlines Knowledge of EC2 (Auto scaling, Security Groups ),VPC,SQS, SNS,Route53,RDS, S3, Elastic Cache, IAM, CLI Server setup/configuration (Tomcat,ngnix ) Experience with AWS—including EC2, S3, CloudTrail, and APIs Solid understanding of EC2 On-Demand, Spot Market, and Reserved Instances knowledge of Infrastructure As Code tools including Terraform, Ansible, or CloudFormation Knowledge of scripting and automation using Python, Bash, Perl to automate AWS tasks Knowledge of code deployment tools Ansible and CloudFormation scripts Support InfoSec scans and compliance audits Basic knowledge of network architecture, DNS, and load balancing. knowledge of containerization technologies like Docker and orchestration platforms like Kubernetes Understanding of monitoring and logging tools(e.g. zabbix) Familiarity with version control systems (GIT) Knowledge of microservices architecture and deployment. Bachelor's degree in Engineering or Masters degree in computer science. Note : Candidates who have passed out in the year 2023 or 2024 can only apply for this Internship. This is Internship to Hire position and Candidates who complete the internship will be offered full-time position based on performance Job Types: Full-time, Permanent, Fresher, Internship Contract length: 6 months Pay: ₹5,500.00 - ₹7,000.00 per month Schedule: Day shift Monday to Friday Morning shift Expected Start Date: 01/07/2025

Key Responsibilities Lead and architect end-to-end data migrations from on-premise and legacy systems to Snowflake, ensuring optimal performance, scalability, and cost-efficiency. Design and develop reusable data ingestion and transformation frameworks using Python. Build and optimize real-time ingestion pipelines using Kafka, Snowpipe, and the COPY command. Utilize SnowConvert to migrate and optimize legacy ETL and SQL logic for Snowflake. Design and implement high-performance Snowflake data models, including materialized views, clustering keys, and result caching strategies. Monitor resource usage and implement auto-suspend/auto-resume, query profiling, and cost-control measures to manage compute and storage effectively. Drive cost governance initiatives, providing insights into credit usage and optimizing workload distribution. Integrate Snowflake with AWS services such as S3, Lambda, Glue, and Step Functions to ensure a robust data ecosystem. Mentor junior engineers, enforce best practices in development and code quality, and champion agile data engineering practices. ________________________________________ Required Skills And Experience 10+ years of experience in data engineering with a focus on enterprise ETL and cloud data platforms. 4+ years of hands-on experience in Snowflake development and architecture. Expertise In Advanced Snowflake Features Such As Snowpark, Streams & Tasks, Secure Data Sharing, Data Masking, and Time Travel. Proven ability to architect enterprise-grade Snowflake solutions optimized for performance, governance, and scalability. Proficient in Python for building orchestration tools, automation, and reusable data pipelines. Solid knowledge of AWS services, including S3, IAM, Lambda, Glue, and Step Functions. Hands-on experience with SnowConvert or similar tools for legacy code conversion. Familiarity with real-time data streaming technologies such as Kafka, Kinesis, or other event-based systems. Strong SQL skills with proven experience in query tuning, profiling, and performance optimization. Deep understanding of legacy ETL tools, with preferable experience in Ab Initio. Exposure to CI/CD pipelines, version control systems (e.g., Git), and automated deployment practices. ________________________________________ Preferred Qualifications Bachelors degree in Computer Science, Information Technology, or a related field. Experience in migrating on-premises or mainframe data warehouses to Snowflake. Familiarity with BI/analytics tools such as Tableau, Power BI, or Looker. Knowledge of data security and compliance best practices, including data masking, RBAC, and OAuth integration. Snowflake certifications (Developer, Architect) are a strong plus. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity We are looking for a skilled Cloud DevOps Engineer with expertise in both AWS and Azure platforms. This role is responsible for end-to-end DevOps support, infrastructure automation, CI/CD pipeline troubleshooting, and incident resolution across cloud environments. The role will handle escalations, lead root cause analysis, and collaborate with engineering and infrastructure teams to deliver high-availability services. You will also contribute to enhancing runbooks, SOPs, and mentoring junior engineers Your Key Responsibilities Act as a primary escalation point for DevOps-related and infrastructure-related incidents across AWS and Azure. Provide troubleshooting support for CI/CD pipeline issues, infrastructure provisioning, and automation failures. Support containerized application environments using Kubernetes (EKS/AKS), Docker, and Helm. Create and refine SOPs, automation scripts, and runbooks for efficient issue handling. Perform deep-dive analysis and RCA for recurring issues and implement long-term solutions. Handle access management, IAM policies, VNet/VPC setup, security group configurations, and load balancers. Monitor and analyze logs using AWS CloudWatch, Azure Monitor, and other tools to ensure system health. Collaborate with engineering, cloud platform, and security teams to maintain stable and secure environments. Mentor junior team members and contribute to continuous process improvements. Skills And Attributes For Success Hands-on experience with CI/CD tools like GitHub Actions, Azure DevOps Pipelines, and AWS CodePipeline. Expertise in Infrastructure as Code (IaC) using Terraform; good understanding of CloudFormation and ARM Templates. Familiarity with scripting languages such as Bash and Python. Deep understanding of AWS (EC2, S3, IAM, EKS) and Azure (VMs, Blob Storage, AKS, AAD). Container orchestration and management using Kubernetes, Helm, and Docker. Experience with configuration management and automation tools such as Ansible. Strong understanding of cloud security best practices, IAM policies, and compliance standards. Experience with ITSM tools like ServiceNow for incident and change management. Strong documentation and communication skills. To qualify for the role, you must have 3 to 5 years of experience in DevOps, cloud infrastructure operations, and automation. Hands-on expertise in AWS and Azure environments. Proficiency in Kubernetes, Terraform, CI/CD tooling, and automation scripting. Experience in a 24x7 rotational support model. Relevant certifications in AWS and Azure (e.g., AWS DevOps Engineer, Azure Administrator Associate). Technologies and Tools Must haves Cloud Platforms: AWS, Azure CI/CD & Deployment: GitHub Actions, Azure DevOps Pipelines, AWS CodePipeline Infrastructure as Code: Terraform Containerization: Kubernetes (EKS/AKS), Docker, Helm Logging & Monitoring: AWS CloudWatch, Azure Monitor Configuration & Automation: Ansible, Bash Incident & ITSM: ServiceNow or equivalent Certification: AWS and Azure relevant certifications Good to have Cloud Infrastructure: CloudFormation, ARM Templates Security: IAM Policies, Role-Based Access Control (RBAC), Security Hub Networking: VPC, Subnets, Load Balancers, Security Groups (AWS/Azure) Scripting: Python/Bash Observability: OpenTelemetry, Datadog, Splunk Compliance: AWS Well-Architected Framework, Azure Security Center What We Look For Enthusiastic learners with a passion for cloud technologies and DevOps practices. Problem solvers with a proactive approach to troubleshooting and optimization. Team players who can collaborate effectively in a remote or hybrid work environment. Detail-oriented professionals with strong documentation skills. What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

About the Role We’re building cloud-native products that have to run fast today and scale smoothly tomorrow. To keep pace, we’re searching for a smart, efficient engineer who lives and breathes Node.js, designs crisp microservices, and knows how to make AWS Lambda sing . You’ll join a tight-knit team that prizes clean code, thoughtful architecture, and knowledge-sharing. What You’ll Do Design & build scalable backend services in Node.js, following microservices best practices Own end‑to‑end development of serverless functions (AWS Lambda), RESTful APIs, and event‑driven workflows Architect data models in DynamoDB and optimize them for performance and cost Deploy & manage workloads on AWS (ECS, API Gateway, CloudWatch, IAM, etc.) using IaC tooling Document your APIs with Swagger/OpenAPI and champion clear, up‑to‑date docs across the team Collaborate closely with frontend (MERN) engineers, QA, and DevOps to ship features that delight users Mentor junior developers—review code, share patterns, and help raise the technical bar Required Skills: 4+ years of professional backend development with Node.js, DynamoDB, and REST APIs 2+ years of working with Microservices Architecture Strong experience with AWS Cloud Services (Lambda, ECS, API Gateway, etc.). Experience with API documentation tools Swagger Job Type: Full-time Benefits: Paid sick time Schedule: Day shift Experience: backend development with Node.js, DynamoDB, and REST APIs: 3 years (Preferred) Location: Kolkata, West Bengal (Required) Work Location: In person

Job Summary Implement workload identity solutions for containerized and serverless workloads e.g. Kubernetes Lambda) in alignment with overall workload IAM strategy. Configure and manage workload identities within cloud-native platforms Responsibilities Ensure that containerized applications and orchestration systems e.g. Kubernetes are configured to securely utilize workload identities. Implement best practices for managing workload identities in containerized deployments. Automate the provisioning and deprovisioning of workload identities in response to cloud-native workload lifecycle events e.g. container creation or deletion scaling. Implement security best practices for workload identities in cloud native environments Integrate cloud-native workloads with enterprise identity providers using workload identity federation Implement SPIFFE SPIRE for workload identity management in cloud-native environments if required Collaborate with security and operations teams to ensure that workload identity solutions meet the security and operational requirements of cloud-native applications Certifications Required Azure GCP Show more Show less

Job Summary Auriga is looking for a Software Engineer who can develop and deploy APIs and Web applications using Java MVC Frameworks and power a variety of leading-edge digital products. You’ll need to bring creative thinking and architectural problem solving to the table, to devise optimal technical solutions, along with highly performant user experiences. Responsibilities Work with business users to gather functional requirements Combine your technical expertise and problem-solving passion to turn complex problems into end-to-end solutions Work with client architect/senior developers to do high level/low level design/architecture. Design and implement high-quality, test-driven BE code for various projects Unit Testing/Integration Testing Code Configuration and Release Management. Create and maintain documentation, implement and follow best practices for development workflow. Work collaboratively with team members to ensure deadlines are met. Stay current on changes in technology and keep adding to your skillset. Qualifications Minimum 2 Years of experience in Web Application and API development in Java 8 and above Working experience with MVC frameworks like Spring, Play, etc. Experience with Multi-threading, Collections, and concurrent API Working experience with web-services and APIs (REST, SOAP) Working experience with data platforms (relational and/or NoSQL) and messaging technologies Excellent OOPs, data structure, and algorithm knowledge Understanding & experience in API management, Swagger Working knowledge of API Testing Tools (e.g. Postman), Version control systems like GIT. Working experience with LINUX/UNIX environment and shell scripts Proficiency in English Strong collaborator and comfortable to work in an agile, remote and distributed team environment Follow secure coding practices and ensure data protection, authentication, and authorization mechanisms are implemented effectively (e.g., OAuth2, JWT). Knowledge of OWASP Top 10 and implementation of security controls in APIs. Nice to have Experience in one or more front-end development technologies Experience in developing microservices in Spring Boot. Experience writing high-quality code with fully automated unit test coverage (Junit, Mockito, etc.) Experience defining and applying design/coding standards, patterns, and quality metrics depending on the solution Working experience with various CI/CD systems (Jenkins, Docker, Kubernetes) and build tools (ant, maven, gradle, etc.). Working experience creating high performing applications, including profiling and tuning to improve performance Experience with application logging and monitoring using tools like ELK Stack, Prometheus, Grafana, or New Relic Experience in Scrum/Agile Knowledge of public cloud infrastructures (AWS, Azure, GCP) Knowledge of one or more security or integration framework (PING, Octa) Familiarity with services such as S3, Lambda, EC2, IAM, CloudWatch, or RDS is a plus. Understanding of API rate limiting, request throttling, caching strategies (e.g., Redis), and gateway tools like Kong, Apigee, or AWS API Gateway. Ability to take full ownership of assigned modules or projects with minimal supervision. About Company Hi there! We are Auriga IT. We power businesses across the globe through digital experiences, data and insights. From the apps we design to the platforms we engineer, we're driven by an ambition to create world-class digital solutions and make an impact. Our team has been part of building the solutions for the likes of Zomato, Yes Bank, Tata Motors, Amazon, Snapdeal, Ola, Practo, Vodafone, Meesho, Volkswagen, Droom, ICICI and many more. We are a group of people who just could not leave our college-life behind and the inception of Auriga was solely based on a desire to keep working together with friends and enjoying the extended college life. Who Has not Dreamt of Working with Friends for a Lifetime Come Join In! https://www.aurigait.com/

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity We are looking for a skilled Cloud DevOps Engineer with expertise in both AWS and Azure platforms. This role is responsible for end-to-end DevOps support, infrastructure automation, CI/CD pipeline troubleshooting, and incident resolution across cloud environments. The role will handle escalations, lead root cause analysis, and collaborate with engineering and infrastructure teams to deliver high-availability services. You will also contribute to enhancing runbooks, SOPs, and mentoring junior engineers Your Key Responsibilities Act as a primary escalation point for DevOps-related and infrastructure-related incidents across AWS and Azure. Provide troubleshooting support for CI/CD pipeline issues, infrastructure provisioning, and automation failures. Support containerized application environments using Kubernetes (EKS/AKS), Docker, and Helm. Create and refine SOPs, automation scripts, and runbooks for efficient issue handling. Perform deep-dive analysis and RCA for recurring issues and implement long-term solutions. Handle access management, IAM policies, VNet/VPC setup, security group configurations, and load balancers. Monitor and analyze logs using AWS CloudWatch, Azure Monitor, and other tools to ensure system health. Collaborate with engineering, cloud platform, and security teams to maintain stable and secure environments. Mentor junior team members and contribute to continuous process improvements. Skills And Attributes For Success Hands-on experience with CI/CD tools like GitHub Actions, Azure DevOps Pipelines, and AWS CodePipeline. Expertise in Infrastructure as Code (IaC) using Terraform; good understanding of CloudFormation and ARM Templates. Familiarity with scripting languages such as Bash and Python. Deep understanding of AWS (EC2, S3, IAM, EKS) and Azure (VMs, Blob Storage, AKS, AAD). Container orchestration and management using Kubernetes, Helm, and Docker. Experience with configuration management and automation tools such as Ansible. Strong understanding of cloud security best practices, IAM policies, and compliance standards. Experience with ITSM tools like ServiceNow for incident and change management. Strong documentation and communication skills. To qualify for the role, you must have 3 to 5 years of experience in DevOps, cloud infrastructure operations, and automation. Hands-on expertise in AWS and Azure environments. Proficiency in Kubernetes, Terraform, CI/CD tooling, and automation scripting. Experience in a 24x7 rotational support model. Relevant certifications in AWS and Azure (e.g., AWS DevOps Engineer, Azure Administrator Associate). Technologies and Tools Must haves Cloud Platforms: AWS, Azure CI/CD & Deployment: GitHub Actions, Azure DevOps Pipelines, AWS CodePipeline Infrastructure as Code: Terraform Containerization: Kubernetes (EKS/AKS), Docker, Helm Logging & Monitoring: AWS CloudWatch, Azure Monitor Configuration & Automation: Ansible, Bash Incident & ITSM: ServiceNow or equivalent Certification: AWS and Azure relevant certifications Good to have Cloud Infrastructure: CloudFormation, ARM Templates Security: IAM Policies, Role-Based Access Control (RBAC), Security Hub Networking: VPC, Subnets, Load Balancers, Security Groups (AWS/Azure) Scripting: Python/Bash Observability: OpenTelemetry, Datadog, Splunk Compliance: AWS Well-Architected Framework, Azure Security Center What We Look For Enthusiastic learners with a passion for cloud technologies and DevOps practices. Problem solvers with a proactive approach to troubleshooting and optimization. Team players who can collaborate effectively in a remote or hybrid work environment. Detail-oriented professionals with strong documentation skills. What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Summary Position Summary CORE BUSINESS OPERATIONS The Core Business Operations (CBO) portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE Level: Consultant As a Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines in an agile framework. Need-basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. As an AWS Infrastructure Engineer, you play a crucial role in building, and maintaining a cloud infrastructure on Amazon Web Services (AWS). You will also be responsible for the ownership of tasks assigned through SNOW, Dashboard, Order forms etc. The work you will do includes: Build and operate the Cloud infrastructure on AWS Continuously monitoring the health and performance of the infrastructure and resolving any issues. Using tools like CloudFormation, Terraform, or Ansible to automate infrastructure provisioning and configuration. Administer the EC2 instance’s OS such as Windows and Linux Working with other teams to deploy secure, scalable, and cost-effective cloud solutions based on AWS services. Implement monitoring and logging for Infra and Apps Keeping the infrastructure up-to-date with the latest security patches and software versions. Collaborate with development, operations and Security teams to establish best practices for software development, build, deployment, and infrastructure management Tasks related to IAM, Monitoring, Backup and Vulnerability Remediation Participating in performance testing and capacity planning activities Documentation, Weekly/Bi-Weekly Deck preparation, KB article update Handover and On call support during weekends on rotational basis Qualifications Skills / Project Experience: Must Have: 3 - 6 years of hands-on experience in AWS Cloud, Cloud Formation template, Windows/Linux administration Understanding of 2 tier, 3 tier or multi-tier architecture Experience on IaaS/PaaS/SaaS Understanding of Disaster recovery Networking and security expertise Knowledge on PowerShell, Shell and Python Associate/Professional level certification on AWS solution architecture ITIL Foundational certification Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries Knowledge and experience working with Microsoft Office tools Good to Have: Understanding of container technologies such as Docker, Kubernetes and OpenShift. Understanding of Application and other infrastructure monitoring tools Understanding of end-to-end infrastructure landscape Experience on virtualization platform Knowledge on Chef, Puppet, Bamboo, Concourse etc Knowledge on Microservices, DataLake, Machine learning etc Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 3 – 6 years of experience working with AWS, System administration, IaC etc Location: Hyderabad/ Pune The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com For information on CBO visit - https://www.youtube.com/watch?v=L1cGlScLuX0 For information on life of an Analyst at CBO visit- https://www.youtube.com/watch?v=CMe0DkmMQHI Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 302308 Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity We are looking for a skilled Cloud DevOps Engineer with expertise in both AWS and Azure platforms. This role is responsible for end-to-end DevOps support, infrastructure automation, CI/CD pipeline troubleshooting, and incident resolution across cloud environments. The role will handle escalations, lead root cause analysis, and collaborate with engineering and infrastructure teams to deliver high-availability services. You will also contribute to enhancing runbooks, SOPs, and mentoring junior engineers Your Key Responsibilities Act as a primary escalation point for DevOps-related and infrastructure-related incidents across AWS and Azure. Provide troubleshooting support for CI/CD pipeline issues, infrastructure provisioning, and automation failures. Support containerized application environments using Kubernetes (EKS/AKS), Docker, and Helm. Create and refine SOPs, automation scripts, and runbooks for efficient issue handling. Perform deep-dive analysis and RCA for recurring issues and implement long-term solutions. Handle access management, IAM policies, VNet/VPC setup, security group configurations, and load balancers. Monitor and analyze logs using AWS CloudWatch, Azure Monitor, and other tools to ensure system health. Collaborate with engineering, cloud platform, and security teams to maintain stable and secure environments. Mentor junior team members and contribute to continuous process improvements. Skills And Attributes For Success Hands-on experience with CI/CD tools like GitHub Actions, Azure DevOps Pipelines, and AWS CodePipeline. Expertise in Infrastructure as Code (IaC) using Terraform; good understanding of CloudFormation and ARM Templates. Familiarity with scripting languages such as Bash and Python. Deep understanding of AWS (EC2, S3, IAM, EKS) and Azure (VMs, Blob Storage, AKS, AAD). Container orchestration and management using Kubernetes, Helm, and Docker. Experience with configuration management and automation tools such as Ansible. Strong understanding of cloud security best practices, IAM policies, and compliance standards. Experience with ITSM tools like ServiceNow for incident and change management. Strong documentation and communication skills. To qualify for the role, you must have 3 to 5 years of experience in DevOps, cloud infrastructure operations, and automation. Hands-on expertise in AWS and Azure environments. Proficiency in Kubernetes, Terraform, CI/CD tooling, and automation scripting. Experience in a 24x7 rotational support model. Relevant certifications in AWS and Azure (e.g., AWS DevOps Engineer, Azure Administrator Associate). Technologies and Tools Must haves Cloud Platforms: AWS, Azure CI/CD & Deployment: GitHub Actions, Azure DevOps Pipelines, AWS CodePipeline Infrastructure as Code: Terraform Containerization: Kubernetes (EKS/AKS), Docker, Helm Logging & Monitoring: AWS CloudWatch, Azure Monitor Configuration & Automation: Ansible, Bash Incident & ITSM: ServiceNow or equivalent Certification: AWS and Azure relevant certifications Good to have Cloud Infrastructure: CloudFormation, ARM Templates Security: IAM Policies, Role-Based Access Control (RBAC), Security Hub Networking: VPC, Subnets, Load Balancers, Security Groups (AWS/Azure) Scripting: Python/Bash Observability: OpenTelemetry, Datadog, Splunk Compliance: AWS Well-Architected Framework, Azure Security Center What We Look For Enthusiastic learners with a passion for cloud technologies and DevOps practices. Problem solvers with a proactive approach to troubleshooting and optimization. Team players who can collaborate effectively in a remote or hybrid work environment. Detail-oriented professionals with strong documentation skills. What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY- Technology Risk – Staff or Senior As part of our EY- Technology Risk team you’ll contribute technically to IT Risk and Assurance client engagements and internal projects. An important part of your role will be to actively establish, maintain and strengthen internal and external relationships. You’ll also identify potential business opportunities for Ernst & Young within existing engagements and escalate these as appropriate. Similarly, you’ll anticipate and identify risks within engagements and share any issues with senior members of the team. The opportunity We’re looking for Analyst to join the leadership group of our EY-Technology RIsk Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. Your Key Responsibilities Evaluate a portfolio of controls for design effectiveness, operating effectiveness and/or risk management outcomes, raising issues as appropriate. Ensure that assigned control assessments are accurate, effective, abide by policy, procedures, and templates, and meet quality control requirements and are delivered on time, in accordance with the assessment plan. Test and supervise the delivery of assigned controls not limited to ITGC and ITAC but System Architecture, Operating Systems, Databases, Networks, Security Systems, Cloud Services, Asset Inventories, Incident Management, Recovery Management, ISO27001 & NIST assessment, Privacy Assessment, Cyber Maturity Assessment, IT Policies and Standards Assessment and Software Development Lifecycle (SDLC); using experience and knowledge to intervene and redirect testing as required, resolving, or redirecting escalations as required. Manage control owners and other stakeholders, ensuring the success of each assigned reviews, minimising contention where possible and requesting support, where deemed necessary. Apply judgement and risk management concepts to identify, formulate findings and provide valuable insights to the clients to improve processes and manage risks to achieving operational and strategic goals. Review IT Policies and Standards and ensure that they are as per the different industry standard. Work closely with cross-functional teams and develop strong relationships as project lead within IT security and GRC projects. Stay current with and promote awareness of applicable regulatory standards, upstream risks and industry best practices across the enterprise Control frameworks such as COSO, internal control principles and related regulations including SOX and J-SOX Familiar with IT industry frameworks such as ISO27001, NIST, PCI-DSS, SOX, FDA, HIPAA: Privacy, HIPAA: Security and HITECH Act. Third party reporting standards (particularly SSAE16), other reporting and industry specific standards and, if applicable, trust-based standards such as SysTrust and WebTrust. Skills And Attributes For Success Provide guidance and share knowledge with team members and participate in performing procedures especially focusing on complex, judgmental and/or specialized issues. Work with the team and the client to create plans for accomplishing engagement objectives and a strategy that complies with professional standards and addresses the risks inherent in the engagement Experience in conducting information security assessments including business continuity plan audits, network security audits, and infrastructure audits Perform NIST assessments, ISO assessments, and privacy impact audits, Data Privacy and GDPR implementation, experience in developing Data inventory and Third Party Risk Assessment. Maintain relationships with client management to manage expectations of service, including work products, timing, and deliverables. Demonstrate a thorough understanding of complex information systems and apply it to client situations Bring and utilize extensive knowledge of the client's business/industry to identify technological developments and evaluate impacts on the client's business. Demonstrate excellent project management skills, inspire teamwork and responsibility with engagement team members, and use current technology/tools to enhance the effectiveness of deliverables and services. Experience in conducting information security assessments including business continuity plan audits, network security audits, and infrastructure audits Understand EY and its service lines and actively assess what the firm can deliver to serve clients To qualify for the role, you must have Graduate (CS/ IT, Electronics, Electronics & Telecommunications,)/MBA/M.Sc. with at least 2-7 years of experience Bring your significant experience in applying relevant technical knowledge in at least one of the following engagements: (a) ISO assessments (b) NIST assessments (c) Data privacy audits (d) Network and Infrastructure audits (e) Cyber Maturity Assessment (f) IT Policies and Standards Assessment (g) IAM and IT Asset Management (h) IT Health Check Ideally, you’ll also have Robust understanding of program and project management practices Familiarity with a typical IT systems development life cycle What We Look For A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment Opportunities to work with EY Assurance practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Role: Senior Cloud DevOps Engineer Experience: 7-15 years Notice Period: Immediate to 15 days Location: Hyderabad We are seeking a highly skilled GCP DevOps Engineer to join our dynamic team. Job Description Deep GCP Services Mastery: Profound understanding and hands-on experience with core GCP services (Compute Engine, CloudRun, Cloud Storage, VPC, IAM, Cloud SQL, BigQuery, Cloud Operations Suite). Infrastructure as Code (IaC) & Configuration Management: Expertise in Terraform for GCP, and proficiency with tools like Ansible for automating infrastructure provisioning and management. CI/CD Pipeline Design & Automation: Skill in building and managing sophisticated CI/CD pipelines (e.g., using Cloud Build, Jenkins, GitLab CI) for applications and infrastructure on GCP. Containerisation & Orchestration: Advanced knowledge of Docker and extensive experience deploying, managing, and scaling applications on CloudRun and/or Google Kubernetes Engine (GKE). API Management & Gateway Proficiency: Experience with API design, security, and lifecycle management, utilizing tools like Google Cloud API Gateway or Apigee for robust API delivery. Advanced Monitoring, Logging & Observability: Expertise in implementing and utilizing comprehensive monitoring solutions (e.g., Google Cloud Operations Suite, Prometheus, Grafana) for proactive issue detection and system insight. DevSecOps & GCP Security Best Practices: Strong ability to integrate security into all stages of the DevOps lifecycle, implement GCP security best practices (IAM, network security, data protection), and ensure compliance. Scripting & Programming for Automation: Proficient in scripting languages (Python, Bash, Go) to automate operational tasks, build custom tools, and manage infrastructure programmatically. GCP Networking Design & Management: In-depth understanding of GCP networking (VPC, Load Balancing, DNS, firewalls) and the ability to design secure and scalable network architectures. Application Deployment Strategies & Microservices on GCP: Knowledge of various deployment techniques (blue/green, canary) and experience deploying and managing microservices architectures within the GCP ecosystem. Leadership, Mentorship & Cross-Functional Collaboration: Proven ability to lead and mentor DevOps teams, drive technical vision, and effectively collaborate with development, operations, and security teams. System Architecture, Performance Optimization & Troubleshooting: Strong skills in designing scalable and resilient systems on GCP, identifying and resolving performance bottlenecks, and complex troubleshooting across the stack. Regards, ValueLabs Show more Show less

We are looking for a Senior DevOps Engineer to join our Life Sciences & Healthcare DevOps team . This is an exciting opportunity to work on cutting-edge Life Sciences and Healthcare products in a DevOps environment. If you love coding in Python or any scripting language, have experience with Linux, and ideally have worked in a cloud environment, we’d love to hear from you! We specialize in container orchestration, Terraform, Datadog, Jenkins, Databricks, and various AWS services. If you have experience in these areas, we’d be eager to connect with you. About You – Experience, Education, Skills, And Accomplishments At least 7+ years of professional software development experience and 5+ years as DevOps Engineer or similar skillsets with experience on various CI/CD and configuration management tools e.g., Jenkins, Maven, Gradle, Jenkins, Spinnaker, Docker, Packer, Ansible, Cloudformation, Terraform, or similar CI/CD orchestrator tool(s). At least 3+ years of AWS experience managing resources in some subset of the following services: S3, ECS, RDS, EC2, IAM, OpenSearch Service, Route53, VPC, CloudFront, Glue and Lambda. 5+ years of experience with Bash/Python scripting. Wide knowledge in operating system administration, programming languages, cloud platform deployment, and networking protocols Be on-call as needed for critical production issues. Good understanding of SDLC, patching, releases, and basic systems administration activities It would be great if you also had AWS Solution Architect Certifications Python programming experience. What will you be doing in this role? Design, develop and maintain the product's cloud infrastructure architecture, including microservices, as well as developing infrastructure-as-code and automated scripts meant for building or deploying workloads in various environments through CI/CD pipelines. Collaborate with the rest of the Technology engineering team, the cloud operations team and application teams to provide end-to-end infrastructure setup Design and deploy secure, resilient, and scalable Infrastructure as Code per our developer requirements while upholding the InfoSec and Infrastructure guardrails through code. Keep up with industry best practices, trends, and standards and identifies automation opportunities, designs, and develops automation solutions that improve operations, efficiency, security, and visibility. Ownership and accountability of the performance, availability, security, and reliability of the product/s running across public cloud and multiple regions worldwide. Document solutions and maintain technical specifications Product you will be developing The Products rely on container orchestration (AWS ECS,EKS), Jenkins, various AWS services (such as Opensearch, S3, IAM, EC2, RDS,VPC, Route53, Lambda, Cloudfront), Databricks, Datadog, Terraform and you will be working to support the Development team build them. About The Team Life Sciences & HealthCare Content DevOps team mainly focus on DevOps operations on Production infrastructure related to Life Sciences & HealthCare Content products. Our team consists of five members and reports to the DevOps Manager. We as a team provides DevOps support for almost 40+ different application products internal to Clarivate and which are source for customer facing products. Also, responsible for Change process on production environment. Incident Management and Monitoring. Team also handles customer raised /internal user service requests. Hours of Work Shift timing 12PM to 9PM. Must provide On-call support during non-business hours per week based on team bandwidth At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity We are looking for a skilled Cloud DevOps Engineer with expertise in both AWS and Azure platforms. This role is responsible for end-to-end DevOps support, infrastructure automation, CI/CD pipeline troubleshooting, and incident resolution across cloud environments. The role will handle escalations, lead root cause analysis, and collaborate with engineering and infrastructure teams to deliver high-availability services. You will also contribute to enhancing runbooks, SOPs, and mentoring junior engineers Your Key Responsibilities Act as a primary escalation point for DevOps-related and infrastructure-related incidents across AWS and Azure. Provide troubleshooting support for CI/CD pipeline issues, infrastructure provisioning, and automation failures. Support containerized application environments using Kubernetes (EKS/AKS), Docker, and Helm. Create and refine SOPs, automation scripts, and runbooks for efficient issue handling. Perform deep-dive analysis and RCA for recurring issues and implement long-term solutions. Handle access management, IAM policies, VNet/VPC setup, security group configurations, and load balancers. Monitor and analyze logs using AWS CloudWatch, Azure Monitor, and other tools to ensure system health. Collaborate with engineering, cloud platform, and security teams to maintain stable and secure environments. Mentor junior team members and contribute to continuous process improvements. Skills And Attributes For Success Hands-on experience with CI/CD tools like GitHub Actions, Azure DevOps Pipelines, and AWS CodePipeline. Expertise in Infrastructure as Code (IaC) using Terraform; good understanding of CloudFormation and ARM Templates. Familiarity with scripting languages such as Bash and Python. Deep understanding of AWS (EC2, S3, IAM, EKS) and Azure (VMs, Blob Storage, AKS, AAD). Container orchestration and management using Kubernetes, Helm, and Docker. Experience with configuration management and automation tools such as Ansible. Strong understanding of cloud security best practices, IAM policies, and compliance standards. Experience with ITSM tools like ServiceNow for incident and change management. Strong documentation and communication skills. To qualify for the role, you must have 3 to 5 years of experience in DevOps, cloud infrastructure operations, and automation. Hands-on expertise in AWS and Azure environments. Proficiency in Kubernetes, Terraform, CI/CD tooling, and automation scripting. Experience in a 24x7 rotational support model. Relevant certifications in AWS and Azure (e.g., AWS DevOps Engineer, Azure Administrator Associate). Technologies and Tools Must haves Cloud Platforms: AWS, Azure CI/CD & Deployment: GitHub Actions, Azure DevOps Pipelines, AWS CodePipeline Infrastructure as Code: Terraform Containerization: Kubernetes (EKS/AKS), Docker, Helm Logging & Monitoring: AWS CloudWatch, Azure Monitor Configuration & Automation: Ansible, Bash Incident & ITSM: ServiceNow or equivalent Certification: AWS and Azure relevant certifications Good to have Cloud Infrastructure: CloudFormation, ARM Templates Security: IAM Policies, Role-Based Access Control (RBAC), Security Hub Networking: VPC, Subnets, Load Balancers, Security Groups (AWS/Azure) Scripting: Python/Bash Observability: OpenTelemetry, Datadog, Splunk Compliance: AWS Well-Architected Framework, Azure Security Center What We Look For Enthusiastic learners with a passion for cloud technologies and DevOps practices. Problem solvers with a proactive approach to troubleshooting and optimization. Team players who can collaborate effectively in a remote or hybrid work environment. Detail-oriented professionals with strong documentation skills. What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity We are looking for a skilled Cloud DevOps Engineer with expertise in both AWS and Azure platforms. This role is responsible for end-to-end DevOps support, infrastructure automation, CI/CD pipeline troubleshooting, and incident resolution across cloud environments. The role will handle escalations, lead root cause analysis, and collaborate with engineering and infrastructure teams to deliver high-availability services. You will also contribute to enhancing runbooks, SOPs, and mentoring junior engineers Your Key Responsibilities Act as a primary escalation point for DevOps-related and infrastructure-related incidents across AWS and Azure. Provide troubleshooting support for CI/CD pipeline issues, infrastructure provisioning, and automation failures. Support containerized application environments using Kubernetes (EKS/AKS), Docker, and Helm. Create and refine SOPs, automation scripts, and runbooks for efficient issue handling. Perform deep-dive analysis and RCA for recurring issues and implement long-term solutions. Handle access management, IAM policies, VNet/VPC setup, security group configurations, and load balancers. Monitor and analyze logs using AWS CloudWatch, Azure Monitor, and other tools to ensure system health. Collaborate with engineering, cloud platform, and security teams to maintain stable and secure environments. Mentor junior team members and contribute to continuous process improvements. Skills And Attributes For Success Hands-on experience with CI/CD tools like GitHub Actions, Azure DevOps Pipelines, and AWS CodePipeline. Expertise in Infrastructure as Code (IaC) using Terraform; good understanding of CloudFormation and ARM Templates. Familiarity with scripting languages such as Bash and Python. Deep understanding of AWS (EC2, S3, IAM, EKS) and Azure (VMs, Blob Storage, AKS, AAD). Container orchestration and management using Kubernetes, Helm, and Docker. Experience with configuration management and automation tools such as Ansible. Strong understanding of cloud security best practices, IAM policies, and compliance standards. Experience with ITSM tools like ServiceNow for incident and change management. Strong documentation and communication skills. To qualify for the role, you must have 3 to 5 years of experience in DevOps, cloud infrastructure operations, and automation. Hands-on expertise in AWS and Azure environments. Proficiency in Kubernetes, Terraform, CI/CD tooling, and automation scripting. Experience in a 24x7 rotational support model. Relevant certifications in AWS and Azure (e.g., AWS DevOps Engineer, Azure Administrator Associate). Technologies and Tools Must haves Cloud Platforms: AWS, Azure CI/CD & Deployment: GitHub Actions, Azure DevOps Pipelines, AWS CodePipeline Infrastructure as Code: Terraform Containerization: Kubernetes (EKS/AKS), Docker, Helm Logging & Monitoring: AWS CloudWatch, Azure Monitor Configuration & Automation: Ansible, Bash Incident & ITSM: ServiceNow or equivalent Certification: AWS and Azure relevant certifications Good to have Cloud Infrastructure: CloudFormation, ARM Templates Security: IAM Policies, Role-Based Access Control (RBAC), Security Hub Networking: VPC, Subnets, Load Balancers, Security Groups (AWS/Azure) Scripting: Python/Bash Observability: OpenTelemetry, Datadog, Splunk Compliance: AWS Well-Architected Framework, Azure Security Center What We Look For Enthusiastic learners with a passion for cloud technologies and DevOps practices. Problem solvers with a proactive approach to troubleshooting and optimization. Team players who can collaborate effectively in a remote or hybrid work environment. Detail-oriented professionals with strong documentation skills. What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Are you ready to make your mark with a true industry disruptor? ZineOne, a subsidiary of Session AI, the pioneer of in-session marketing, is looking to add talented team members to help us grow into the premier revenue tool for e-commerce. We work with some of the leading brands nationwide and we innovate how brands connect with and convert customers. Job Description This position offers a hands-on, technical opportunity as a vital member of the Site Reliability Engineering Group. Our SRE team is dedicated to ensuring that our Cloud platform operates seamlessly, efficiently, and reliably at scale. The ideal candidate will bring over five years of experience managing cloud-based Big Data solutions, with a strong commitment to resolving operational challenges through automation and sophisticated software tools. Candidates must uphold a high standard of excellence and possess robust communication skills, both written and verbal. A strong customer focus and deep technical expertise in areas such as Linux, automation, application performance, databases, load balancers, networks, and storage systems are essential. Key Responsibilities: As a Session AI SRE, you will: Design and implement solutions that enhance the availability, performance, and stability of our systems, services, and products Develop, automate, and maintain infrastructure as code for provisioning environments in AWS, Azure, and GCP Deploy modern automated solutions that enable automatic scaling of the core platform and features in the cloud Apply cybersecurity best practices to safeguard our production infrastructure Collaborate on DevOps automation, continuous integration, test automation, and continuous delivery for the Session AI platform and its new features Manage data engineering tasks to ensure accurate and efficient data integration into our platform and outbound systems Utilize expertise in DevOps best practices, shell scripting, Python, Java, and other programming languages, while continually exploring new technologies for automation solutions Design and implement monitoring tools for service health, including fault detection, alerting, and recovery systems Oversee business continuity and disaster recovery operations Create and maintain operational documentation, focusing on reducing operational costs and enhancing procedures Demonstrate a continuous learning attitude with a commitment to exploring emerging technologies Preferred Skills: Experience with cloud platforms like AWS, Azure, and GCP, including their management consoles and CLI Proficiency in building and maintaining infrastructure on: AWS using services such as EC2, S3, ELB, VPC, CloudFront, Glue, Athena, etc Azure using services such as Azure VMs, Blob Storage, Azure Functions, Virtual Networks, Azure Active Directory, Azure SQL Database, etc GCP using services such as Compute Engine, Cloud Storage, Cloud Functions, VPC, Cloud IAM, BigQuery, etc Expertise in Linux system administration and performance tuning Strong programming skills in Python, Bash, and NodeJS In-depth knowledge of container technologies like Docker and Kubernetes Experience with real-time, big data platforms including architectures like HDFS/Hbase, Zookeeper, and Kafka Familiarity with central logging systems such as ELK (Elasticsearch, LogStash, Kibana) Competence in implementing monitoring solutions using tools like Grafana, Telegraf, and Influx Benefits Comparable salary package and stock options Opportunity for continuous learning Fully sponsored EAP services Excellent work culture Opportunity to be an integral part of our growth story and grow with our company Health insurance for employees and dependents Flexible work hours Remote-friendly company Show more Show less

Job Description Join our team as a Domain Solution Architect in the Autonomous Network Security domain, where you will drive the design and implementation of complex security solutions. You will work with cutting-edge security technologies, assess vulnerabilities, and strengthen cybersecurity frameworks. This role offers an opportunity to work with global teams, provide technical guidance, and drive innovation in security architecture. How You Will Contribute And What You Will Learn Drive end-to-end security architecture design and implementation for complex security solutions. Deliver NetGuard Security Products & Solutions, including NIAM (NetGuard Identity Access Manager), FW (Firewall), and DNS (Domain Name System). Conduct security assessments, penetration testing, and audits to identify vulnerabilities. Develop high-level and low-level security designs, test plans, and validation strategies. Provide expert guidance on cybersecurity frameworks, compliance, and risk assessment. Work with cross-functional teams to ensure security integration across platforms. Support pre-sales efforts, solution feasibility analysis, and cost estimation. Oversee security infrastructure, ensuring resilience against cyber threats. Offer technical mentorship and guidance to global security teams. Key Skills And Experience You have: Bachelor's degree or equivalent with 10+ years of experience in security architecture. Practical experience in cybersecurity frameworks (NIST, ISO 27001) and compliance (GDPR). Hands-on experience with cloud security (AWS, GCP), IAM, SIEM, DevSecOps, and API security. Comfort to travel as required (up to 50%) to address business needs. It would be nice if you also had: Experience in Java, Kubernetes, Docker, OpenStack, microservices, and automation tools. Strong problem-solving, troubleshooting, and partnering skills for effective stakeholder engagement. About Us Come create the technology that helps the world act together Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work What we offer Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Nokia is committed to inclusion and is an equal opportunity employer Nokia has received the following recognitions for its commitment to inclusion & equality: One of the World’s Most Ethical Companies by Ethisphere Gender-Equality Index by Bloomberg Workplace Pride Global Benchmark At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect. Join us and be part of a company where you will feel included and empowered to succeed. About The Team As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible. Show more Show less

Job Summary We are seeking an experienced Data Architect with expertise in Snowflake, dbt, Apache Airflow, and AWS to design, implement, and optimize scalable data solutions. The ideal candidate will play a critical role in defining data architecture, governance, and best practices while collaborating with cross-functional teams to drive data-driven decision-making. Key Responsibilities Data Architecture & Strategy: Design and implement scalable, high-performance cloud-based data architectures on AWS. Define data modelling standards for structured and semi-structured data in Snowflake. Establish data governance, security, and compliance best practices. Data Warehousing & ETL/ELT Pipelines: Develop, maintain, and optimize Snowflake-based data warehouses. Implement dbt (Data Build Tool) for data transformation and modelling. Design and schedule data pipelines using Apache Airflow for orchestration. Cloud & Infrastructure Management: Architect and optimize data pipelines using AWS services like S3, Glue, Lambda, and Redshift. Ensure cost-effective, highly available, and scalable cloud data solutions. Collaboration & Leadership: Work closely with data engineers, analysts, and business stakeholders to align data solutions with business goals. Provide technical guidance and mentoring to the data engineering team. Performance Optimization & Monitoring: Optimize query performance and data processing within Snowflake. Implement logging, monitoring, and alerting for pipeline reliability. Required Skills & Qualifications 10+ years of experience in data architecture, engineering, or related roles. Strong expertise in Snowflake, including data modeling, performance tuning, and security best practices. Hands-on experience with dbt for data transformations and modeling. Proficiency in Apache Airflow for workflow orchestration. Strong knowledge of AWS services (S3, Glue, Lambda, Redshift, IAM, EC2, etc.). Experience with SQL, Python, or Spark for data processing. Familiarity with CI/CD pipelines, Infrastructure-as-Code (Terraform/CloudFormation) is a plus. Strong understanding of data governance, security, and compliance (GDPR, HIPAA, etc.). Preferred Qualifications Certifications: AWS Certified Data Analytics – Specialty, Snowflake SnowPro Certification, or dbt Certification. Experience with streaming technologies (Kafka, Kinesis) is a plus. Knowledge of modern data stack tools (Looker, Power BI, etc.). Experience in OTT streaming could be added advantage. Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less