Greetings! Please find the JD below, if you find interested, please share your update profile asap to below mail id nitin.1@zensar.com. Note: Looking for only immediate joiners. Key Responsibilities: Develop and maintain test automation frameworks for frontend and backend systems using Java and related tools Write and execute automated test scripts for UI, API, and backend services. Test containerized applications in Docker and Kubernetes environments, and cloud platforms (AWS, Azure, GCP). Collaborate with developers and QA team members to identify test requirements and ensure test coverage. Integrate automated tests into CI/CD pipelines (e.g., Jenkins, GitLab CI). Analyze test results, identify bugs, and work with the development team to resolve issues. Maintain and enhance test environments and test data management, and write complex SQL queries Participate in Agile/Scrum ceremonies and contribute to sprint planning and retrospectives. Required Skills and Qualifications: Bachelor’s degree in computer science, Engineering, or a related field. 3+ years of experience in test automation using Java Strong programming skills in Java, JavaScript, or Python. Strong knowledge of Selenium WebDriver, TestNG/Junit. Experience with REST API testing using Postman or Rest Assured, and JSON/XML. Familiarity with version control systems (e.g., Git). Experience with CI/CD tools like Jenkins, Maven, or Gradle. Solid understanding of software testing principles, including functional, regression, integration, and performance testing. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Familiarity with microservices and container orchestration. Strong debugging and analytical skills Nice-to-Haves: Experience with AI/ML testing tools. Experience with BDD frameworks like Cucumber. Knowledge of cloud platforms (AWS, Azure, GCP). Knowledge of Infrastructure as Code (Terraform, Ansible). Familiarity with containerization tools like Docker and Kubernetes. Exposure to performance testing tools like JMeter or Gatling or K6 Exposure to mobile testing (Appium), Playwright Conduct security testing using OWASP ZAP or Burp Suite. Show more Show less

Job Description "Architect to lead our cloud infrastructure and automation initiatives on Google Cloud Platform (GCP). This pivotal role will be responsible for designing, implementing, and maintaining a robust, secure, and scalable platform that empowers our development teams to deliver high-quality software efficiently. You will be instrumental in driving our DevOps and DevSecOps practices, ensuring a seamless and secure software delivery lifecycle. Responsibilities: Platform Architecture and Design: Define and document the target state architecture for our GCP platform, considering scalability, reliability, security, and cost-effectiveness. Design and implement infrastructure-as-code (IaC) solutions using tools like Terraform or Cloud Deployment Manager. Architect and implement CI/CD pipelines leveraging GCP services and industry best practices. Develop and maintain platform standards, policies, and guidelines. Evaluate and recommend new GCP services and technologies to enhance our platform capabilities. DevOps Leadership and Implementation: Champion and drive the adoption of DevOps principles and practices across development, operations, and security teams. Establish and optimize automated build, test, and deployment processes. Implement robust monitoring, logging, and alerting solutions to ensure platform health and performance. Foster a culture of collaboration, automation, and continuous improvement. DevSecOps Integration: Lead the integration of security practices throughout the software development lifecycle (SDLC). Define and implement security controls within the infrastructure and CI/CD pipelines. Automate security testing and vulnerability management processes. Ensure compliance with relevant security standards and regulations. GCP Infrastructure Build and Management: Lead the provisioning and management of GCP resources, including compute, storage, networking, and databases. Optimize infrastructure for performance, availability, and cost efficiency. Implement disaster recovery and business continuity plans on GCP. Troubleshoot and resolve complex platform and infrastructure issues. Collaboration and Communication: Collaborate effectively with development teams, security engineers, and other stakeholders to understand their needs and provide platform solutions. Communicate technical concepts and solutions clearly and effectively to both technical and non-technical audiences. Provide guidance and mentorship to junior team members. Participate in architectural reviews and provide constructive feedback." Show more Show less

Role: Devops Engineer / Java Experience: 4-6 Years Job location – Noida with 03 months of on-site training in Singapore Functional Area: Java + DevOps + Kubernetes + AWS/cloud JOB DESCRIPTION: About the Role: We are seeking a highly motivated DevOps Engineer to join our team and play a pivotal role in building and maintaining our cloud infrastructure. The ideal candidate will have a strong understanding of DevOps principles and practices, with a focus on AWS, Kubernetes, CI/CD pipelines, Docker, and Terraform. Working on a Java scripting Language is must for design, development. Responsibilities: • Cloud Platforms: Design, build, and maintain our cloud infrastructure primarily on AWS. • Infrastructure as Code (IaC): Develop and manage IaC solutions using tools like Terraform to provision and configure cloud resources on AWS. • Containerization: Implement and manage Docker containers and Kubernetes clusters for efficient application deployment and scaling. • CI/CD Pipelines: Develop and maintain automated CI/CD pipelines using tools like Jenkins, Bitbucket CI/CD, or ArgoCD to streamline software delivery. Automation: Automate infrastructure provisioning, configuration management, and application deployment using tools like Terraform and Ansible. • Monitoring and Troubleshooting: Implement robust monitoring and alerting systems to proactively identify and resolve issues. • Collaboration: Work closely with development teams to understand their needs and provide solutions that align with business objectives. • Security: Ensure compliance with security best practices and implement measures to protect our infrastructure and applications. Qualifications: • Bachelor’s degree in computer science, Engineering, or a related field. • Strong proficiency in AWS services (EC2, S3, VPC, IAM, etc.). • Experience with Kubernetes and container orchestration. • Expertise in Java coding, CI/CD pipelines and tools (Jenkins, Bitbucket CI/CD, ArgoCD). • Familiarity with Docker and containerization concepts. • Experience with configuration management tools (Terraform, Cloudformation). • Scripting skills (Java, Python, Bash). • Understanding of networking and security concepts Show more Show less

Visakhapatnam, Andhra Pradesh Work Type: Full Time Position: Site Reliability Engineer (AWS) Experience: 5+ years Location: Vizag (Only) Requirement 5+ years of experience developing and/or administering software in public cloud 5+ years’ experience in languages such as Python, Bash, Java, Go JavaScript and/or node.js 5+ years’ experience in monitoring infrastructure and application uptime and availability to ensure functional and performance objectives. 5+ years’ experience of cross-functional knowledge with systems, storage, networking, security and databases 5+ years’ experience of system administration skills, including automation and orchestration of Linux/Windows using Terraform, Chef, Ansible and/or containers (Docker, Kubernetes, etc.) 5+ years’ experience working with continuous integration and continuous delivery tooling and practices What you’ll do: Manage system(s) uptime across cloud-native (AWS) and hybrid architectures. Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK). Build CI/CD pipelines for build, test and deployment of application and cloud architecture patterns, using platform (Jenkins) and cloud-native toolchains. Build automated tooling to deploy service request to push a change into production Solve problems and triage complex distributed architecture service map. Build runbooks that are comprehensive and detailed to manage detect, remediate and restore services. Lead availability blameless postmortem and own the call to action to remediate recurrences. On call for high severity application incidents and improving run books to improve MTTR Participate in a team of first responders in a 24/7, follow the sun operating model for incident and problem management. Effectively communicate to technical peers and team members in both written and verbal formats. What could set you apart: You have expertise designing, analyzing and troubleshooting large-scale distributed systems. You take a system problem-solving approach, coupled with strong communication skills and a sense of ownership and drive You have experience managing Infrastructure as code via tools such as Terraform or CloudFormation You are passionate for automation with a desire to eliminate toil whenever possible You’ve built software or maintained systems in a highly secure, regulated or compliant industry You thrive in and have experience and passion for working within a DevOps culture and as part of a team

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. Career Family - TechOps -CloudOps Role Type - Cloud Operation Engineer - AWS and Azure The opportunity We are looking for a Staff CloudOps Engineer with 1-3 years of hands-on experience in AWS and Azure environments. The primary focus of this role is supporting DevOps practices, including CI/CD pipelines, automation scripting, and container orchestration. The role also involves contributing to basic cloud infrastructure management and support. You will assist in troubleshooting, support deployment pipelines, and participate in operations across cloud-native environments. Your Key Responsibilities Assist in resolving infrastructure and DevOps-related incidents and service requests. Support CI/CD pipeline operations and automation workflows. Implement infrastructure as code using Terraform. Monitor platform health using native tools like AWS CloudWatch and Azure Monitor. Collaborate with CloudOps and DevOps teams to address deployment or configuration issues. Maintain and update runbooks, SOPs, and automation scripts as needed. Skills And Attributes For Success Working knowledge of AWS and Azure core services. Experience with Terraform; exposure to CloudFormation or ARM templates is a plus. Familiarity with Docker, Kubernetes (EKS/AKS), and Helm. Basic scripting in Bash; knowledge of Python is a plus. Understanding of ITSM tools such as ServiceNow. Knowledge of IAM, security groups, VPC/VNet, and basic networking. Strong troubleshooting and documentation skills. To qualify for the role, you must have 1-3 years of experience in CloudOps, DevOps, or cloud infrastructure support. Hands-on experience in supporting cloud platforms like AWS and/or Azure. Familiarity with infrastructure automation, CI/CD pipelines, and container platforms. Relevant cloud certification (AWS/Azure) preferred. Willingness to work in a 24x7 rotational shift-based support environment. No location constraints Technologies and Tools Must haves Cloud Platforms: AWS, Azure Infrastructure as Code: Terraform (hands-on) CI/CD: Basic experience with GitHub Actions, Azure DevOps, or AWS CodePipeline Containerization: Exposure to Kubernetes (EKS/AKS), Docker Monitoring: AWS CloudWatch, Azure Monitor Scripting: Bash Incident Management: Familiarity with ServiceNow or similar ITSM tool Good to have Templates: CloudFormation, ARM templates Scripting: Python Security: IAM Policies, RBAC Observability: Datadog, Splunk, OpenTelemetry Networking: VPC/VNet basics, load balancers Certification: AWS/Azure (Associate-level preferred) 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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India . Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. Experience in automating infrastructure provisioning, Developer Operations (DevOps), integration, or delivery. Experience in networking, compute infrastructure (e.g., servers, databases, firewalls, load balancers) and architecting, developing, or maintaining cloud solutions in virtualized environments. Experience in scripting with Terraform and Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, or Site Reliability Engineering. Preferred qualifications: Certification in Cloud with experience in Kubernetes, Google Kubernetes Engine, or similar. Experience with customer-facing migration including service discovery, assessment, planning, execution, and operations. Experience with IT security practices like identity and access management, data protection, encryption, certificate and key management. Experience with Google Cloud Platform (GCP) techniques like prompt engineering, dual encoders, and embedding vectors. Experience in building prototypes or applications. Experience in one or more of the following disciplines: software development, managing operating system environments (Linux or related), network design and deployment, databases, storage systems. About The Job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Provide domain expertise in cloud platforms and infrastructure to solve cloud platform tests. Work with customers to design and implement cloud based technical architectures, migration approaches, and application optimizations that enable business objectives. Be a technical advisor and perform troubleshooting to resolve technical tests for customers. Create and deliver best practice recommendations, tutorials, blog articles, and sample code. Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India . Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. Experience in automating infrastructure provisioning, Developer Operations (DevOps), integration, or delivery. Experience in networking, compute infrastructure (e.g., servers, databases, firewalls, load balancers) and architecting, developing, or maintaining cloud solutions in virtualized environments. Experience in scripting with Terraform and Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, or Site Reliability Engineering. Preferred qualifications: Certification in Cloud with experience in Kubernetes, Google Kubernetes Engine, or similar. Experience with customer-facing migration including service discovery, assessment, planning, execution, and operations. Experience with IT security practices like identity and access management, data protection, encryption, certificate and key management. Experience with Google Cloud Platform (GCP) techniques like prompt engineering, dual encoders, and embedding vectors. Experience in building prototypes or applications. Experience in one or more of the following disciplines: software development, managing operating system environments (Linux or related), network design and deployment, databases, storage systems. About The Job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Provide domain expertise in cloud platforms and infrastructure to solve cloud platform tests. Work with customers to design and implement cloud based technical architectures, migration approaches, and application optimizations that enable business objectives. Be a technical advisor and perform troubleshooting to resolve technical tests for customers. Create and deliver best practice recommendations, tutorials, blog articles, and sample code. Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . 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. Career Family - TechOps -CloudOps Role Type - Cloud Operation Engineer - AWS and Azure The opportunity We are looking for a Staff CloudOps Engineer with 1-3 years of hands-on experience in AWS and Azure environments. The primary focus of this role is supporting DevOps practices, including CI/CD pipelines, automation scripting, and container orchestration. The role also involves contributing to basic cloud infrastructure management and support. You will assist in troubleshooting, support deployment pipelines, and participate in operations across cloud-native environments. Your Key Responsibilities Assist in resolving infrastructure and DevOps-related incidents and service requests. Support CI/CD pipeline operations and automation workflows. Implement infrastructure as code using Terraform. Monitor platform health using native tools like AWS CloudWatch and Azure Monitor. Collaborate with CloudOps and DevOps teams to address deployment or configuration issues. Maintain and update runbooks, SOPs, and automation scripts as needed. Skills And Attributes For Success Working knowledge of AWS and Azure core services. Experience with Terraform; exposure to CloudFormation or ARM templates is a plus. Familiarity with Docker, Kubernetes (EKS/AKS), and Helm. Basic scripting in Bash; knowledge of Python is a plus. Understanding of ITSM tools such as ServiceNow. Knowledge of IAM, security groups, VPC/VNet, and basic networking. Strong troubleshooting and documentation skills. To qualify for the role, you must have 1-3 years of experience in CloudOps, DevOps, or cloud infrastructure support. Hands-on experience in supporting cloud platforms like AWS and/or Azure. Familiarity with infrastructure automation, CI/CD pipelines, and container platforms. Relevant cloud certification (AWS/Azure) preferred. Willingness to work in a 24x7 rotational shift-based support environment. No location constraints Technologies and Tools Must haves Cloud Platforms: AWS, Azure Infrastructure as Code: Terraform (hands-on) CI/CD: Basic experience with GitHub Actions, Azure DevOps, or AWS CodePipeline Containerization: Exposure to Kubernetes (EKS/AKS), Docker Monitoring: AWS CloudWatch, Azure Monitor Scripting: Bash Incident Management: Familiarity with ServiceNow or similar ITSM tool Good to have Templates: CloudFormation, ARM templates Scripting: Python Security: IAM Policies, RBAC Observability: Datadog, Splunk, OpenTelemetry Networking: VPC/VNet basics, load balancers Certification: AWS/Azure (Associate-level preferred) 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. Career Family - TechOps -CloudOps Role Type - Cloud Operation Engineer - AWS and Azure The opportunity We are looking for a Staff CloudOps Engineer with 1-3 years of hands-on experience in AWS and Azure environments. The primary focus of this role is supporting DevOps practices, including CI/CD pipelines, automation scripting, and container orchestration. The role also involves contributing to basic cloud infrastructure management and support. You will assist in troubleshooting, support deployment pipelines, and participate in operations across cloud-native environments. Your Key Responsibilities Assist in resolving infrastructure and DevOps-related incidents and service requests. Support CI/CD pipeline operations and automation workflows. Implement infrastructure as code using Terraform. Monitor platform health using native tools like AWS CloudWatch and Azure Monitor. Collaborate with CloudOps and DevOps teams to address deployment or configuration issues. Maintain and update runbooks, SOPs, and automation scripts as needed. Skills And Attributes For Success Working knowledge of AWS and Azure core services. Experience with Terraform; exposure to CloudFormation or ARM templates is a plus. Familiarity with Docker, Kubernetes (EKS/AKS), and Helm. Basic scripting in Bash; knowledge of Python is a plus. Understanding of ITSM tools such as ServiceNow. Knowledge of IAM, security groups, VPC/VNet, and basic networking. Strong troubleshooting and documentation skills. To qualify for the role, you must have 1-3 years of experience in CloudOps, DevOps, or cloud infrastructure support. Hands-on experience in supporting cloud platforms like AWS and/or Azure. Familiarity with infrastructure automation, CI/CD pipelines, and container platforms. Relevant cloud certification (AWS/Azure) preferred. Willingness to work in a 24x7 rotational shift-based support environment. No location constraints Technologies and Tools Must haves Cloud Platforms: AWS, Azure Infrastructure as Code: Terraform (hands-on) CI/CD: Basic experience with GitHub Actions, Azure DevOps, or AWS CodePipeline Containerization: Exposure to Kubernetes (EKS/AKS), Docker Monitoring: AWS CloudWatch, Azure Monitor Scripting: Bash Incident Management: Familiarity with ServiceNow or similar ITSM tool Good to have Templates: CloudFormation, ARM templates Scripting: Python Security: IAM Policies, RBAC Observability: Datadog, Splunk, OpenTelemetry Networking: VPC/VNet basics, load balancers Certification: AWS/Azure (Associate-level preferred) 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

Job Title : Google-Certified Engineer Location : Open Location Type : Full-time Experience Level : Senior-Level Notice Period : Maximum 30 Days Job Summary We are looking for a Google-Certified Engineer with expertise in Google Cloud technologies, certified in one or more professional-level Google Cloud certifications. The ideal candidate will be responsible for designing, implementing, and optimizing cloud-based solutions across multiple domains, including architecture, security, DevOps, data engineering, machine learning, and networking. Key Responsibilities Design and implement scalable, secure, and high-performance cloud solutions on Google Cloud Platform (GCP). Work on cloud infrastructure, automation, and DevOps best practices for CI/CD pipelines. Develop and optimize cloud databases, data pipelines, and AI/ML models. Ensure network security, compliance, and risk mitigation across cloud deployments. Architect and deploy highly available cloud networks and security frameworks. Collaborate with cross-functional teams for cloud migrations, automation, and AI/ML implementations. Troubleshoot and optimize cloud applications for cost efficiency, security, and performance. Required Certifications (Any of the following Google Cloud Certifications) : Professional Cloud Architect Professional Cloud Database Engineer Professional Cloud Developer Professional Cloud DevOps Engineer Professional Cloud Network Engineer Professional Cloud Security Engineer Professional Data Engineer Professional Machine Learning Engineer SecOps Tech Credential Maps Technical Credential Certification IDS : CERT-P-CA CERT-P-CDBE CERT-P-CD CERT-P-CNE CERT-P-CSE CERT-P-DE CERT-P-CDE CERT-P-MLE CERT-T-STC CERT-T-MDV Required Skills & Experience 4+ years of experience in Google Cloud Platform (GCP). Strong hands-on experience with GCP services like Compute Engine, Kubernetes Engine, BigQuery, Cloud SQL, Cloud Spanner, IAM, Cloud Run, Cloud Functions, etc. Expertise in Terraform, Kubernetes, Docker, CI/CD, and Infrastructure as Code (IaC). Proficiency in Python, Java, or Go for cloud-based development. Strong understanding of networking, cloud security, and IAM policies. Experience in AI/ML, data engineering, or cloud automation is a plus. Good knowledge of Google Cloud best practices, cost optimization, and performance tuning. Preferred Qualifications Experience in financial services, fintech, or regulated industries is a plus. Hands-on expertise in logging, monitoring, and security compliance frameworks. Excellent problem-solving skills and ability to work in cross-functional teams. (ref:hirist.tech) Show more Show less

What makes this role special Join a green-field Enterprise solutions project that spans cloud-infra, data pipelines, QA automation, BI dashboards and business process analysis. Spend your first year rotating through four pods, discovering where you shine, then lock into the stream you love (DevOps, Data Engineering, QA, BI, or Business Analysis). Work side-by-side with senior architects and PMs; demo every Friday; leave with production-grade experience most freshers wait years to gain. Rotation roadmap (three months each) DevOps Starter – write Terraform variables, tweak Helm values, add a GitHub Action that auto-lints PRs. Data Wrangler – build a NiFi flow (CSV → S3 Parquet), add an Airflow DAG, validate schemas with Great Expectations. QA Automation – write PyTest cases for the WhatsApp bot, create a k6 load script, plug Allure reports into CI. BI / Business Analysis – design a Superset dataset & dashboard, document KPIs, shadow the PM to craft a user story and UAT sheet. Day-to-day you will Pick tickets from your pod’s board and push clean pull-requests or dashboard changes. Pair with mentors, record lessons in the wiki, and improve run-books as you go. Demo your work (max 15 min) in our hybrid Friday huddle. Must-have spark Basic coding in Python or JavaScript and Git fundamentals (clone → branch → PR). Comfortable with SQL JOINs & GROUP BY and spreadsheets for quick analysis. Curious mindset, clear written English, happy to ask “why?” and own deadlines. Bonus points A hobby Docker or AWS free-tier project. A Telegram/WhatsApp bot or hackathon win you can show. Contributions to open-source or a college IoT demo. What success looks like Ship at least twelve merged PRs/dashboards in your first quarter. Automate one manual chore the seniors used to dread. By month twelve you can independently take a user story from definition → code or spec → test → demo. Growth path Junior ➜ Associate II ➜ Senior (lead a pod); pay and AWS certifications climb with you. How to apply Fork github.com/company/erpnext-starter, fix any “good-first-issue”, open a PR. Email your resume, PR link, and a 150-word story about the coolest thing you’ve built. Short-listed candidates get a 30-min Zoom chat (no riddles) and a 24-hr mini-task aligned to your preferred first rotation. We hire attitude over pedigree—show you learn fast, document clearly, and love building, and you’re in. Show more Show less

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : AWS Operations Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the applications function seamlessly within the existing infrastructure. You will also engage in troubleshooting and optimizing applications to enhance performance and user experience, while adhering to best practices in software development. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the documentation of application processes and workflows. - Engage in continuous learning to stay updated with the latest technologies and methodologies. - Quickly identify, troubleshoot, and fix failures to minimize downtime. - To ensure the SLAs and OLAs are met within the timelines such that operation excellence is met. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Operations. - Strong understanding of cloud architecture and services. - Experience with application development frameworks and tools. - Familiarity with DevOps practices and CI/CD pipelines. - Ability to troubleshoot and resolve application issues efficiently. - Strong understanding of cloud networking concepts including VPC design, subnets, routing, security groups, and implementing scalable solutions using AWS Elastic Load Balancer (ALB/NLB). - Practical experience in setting up and maintaining observability tools such as Prometheus, Grafana, CloudWatch, ELK stack for proactive system monitoring and alerting. - Hands-on expertise in containerizing applications using Docker and deploying/managing them in orchestrated environments such as Kubernetes or ECS. - Proven experience designing, deploying, and managing cloud infrastructure using Terraform, including writing reusable modules and managing state across environments. - Good problem solving skills - The ability to quickly identify, analyze, and resolve issues is vital. - Effective Communication - Strong communication skills are necessary for collaborating with cross- functional teams and documenting processes and changes. - Time Management - Efficiently managing time and prioritizing tasks is vital in operations support. - The candidate should have minimum 3 years of experience in AWS Operations. Additional Information: - This position is based at our Hyderabad office. - A 15 years full time education is required. 15 years full time education Show more Show less

The DevOps Engineer III will play a crucial role in enhancing our CI/CD pipeline, ensuring seamless integration and deployment of applications, and maintaining robust infrastructure. The DevOps Engineer III will work closely with the Development team and our Infrastructure team to develop our CI/CD stack and implement monitoring and observability into our applications. Position: DevOps Lead Exp: 10-15 Years Primary Duties & Responsibilities: Design and implement complex AWS-enabled CI/CD platforms. Be available to assist the Development team to enable them to fully utilize the CI/CD pipeline. Evaluate, recommend and implement tools and technologies for DevOps. Manage code deployments, fixes, updates and related processes. Interact heavily with Management and the Development, Infrastructure and Security teams. Work closely with the Development team to enable them to fully utilize AWS technologies Actively troubleshoot any issues that arise during testing and production, catching and solving issues before launch. Assist with the automation our operational processes as needed, with accuracy and in compliance with our security requirements. Spread knowledge on an ongoing basis to all members of the software/IT team. Push for DevOps concepts whenever possible. Required Knowledge, Skills and Abilities: Ten (10) years’ experience in DevOps or a related field Extensive experience with core AWS platform architecture Strong experience with Linux-based infrastructures, Linux administration, and AWS Strong scripting capability and ability to develop scripted AWS infrastructure Cloud Automation experience with tools such as Terraform, CloudFormation, Ansible, etc. Experience with CI/CD pipeline tools such as Octopus Deploy, ArgoCD, GitHub Actions, etc. Knowledge of scripting languages such as Perl, Ruby, Python, Bash Familiarity with Microservice based architectures Strong familiarity with containerization technologies, such as Docker, Kubernetes, EKS, etc. Extensive troubleshooting skills with the ability to spot issues before they become problems Experience with project management and workflow tools such as Jira Ability to work independently and manage multiple projects and processes to achieve commitments Ability to assist the DevOps Manager in leading the team on projects as necessary Excellent interpersonal and communication (verbal and written) skills to all levels of the organization Process and technical documentation skills Time and project management skills, with the capability to prioritize and multitask as needed Show more Show less

Position Summary The DevOps & AWS Engineer should have hands-on experience in building, deploying, and managing cloud infrastructure and automation processes. The candidate should have strong expertise in Amazon Web Services (AWS), as well as proficiency in CI/CD pipeline development, infrastructure as code (IaC), and monitoring. The candidate will play a crucial role in ensuring smooth and efficient development workflows, system scalability, and high availability of services across cloud environments. This role requires strong communication skills, problem-solving abilities, and a collaborative mindset. Essential Job Functions And Operations Assist developers by managing setup processes and minimizing setup-related tasks. Implement, configure, and manage cloud-based infrastructure using Amazon Web Services (AWS) such as EC2, S3, RDS, ECS, Lambda, VPC, IAM, and other AWS services. Work with Java, Spring Boot, and frontend technologies (React, Vue.js). Manage deployment artifacts including JAR files, HTML, CSS, JS files, and Dockerfiles. Prepare scripts for database schema and migration. Create and maintain Kubernetes templates and Jenkins files. Write and manage Terraform or AWS CloudFormation templates to automate the provisioning and configuration of AWS resources. Manage Kubernetes clusters, including services, deployments, and ingress. Support networking tasks, including virtual networking, VPCs, routing, DNS, and HTTPS/TLS. Automate deployment processes using Jenkins and other tools. Oversee application upgrades, database migrations, and rollback procedures. Design and implement disaster recovery plans in AWS to ensure high availability and fault tolerance of critical applications. Automate deployments using tools like Terraform, Ansible, or AWS CodeDeploy. Ensure smooth transitions from development to staging and production environments. Set up AWS CloudWatch to monitor AWS resources and applications in real-time. Create custom dashboards and set up alerts to proactively monitor system health. Configure and maintain IAM roles, policies, and groups to ensure secure access to AWS resources. Cost and resource optimization to ensure cloud efficiency. Required Skills And Abilities Proficient in cloud platforms, specifically AWS. Strong understanding of AWS IAM roles, policies, users, groups, and permission management. Expertise in launching, managing, and scaling EC2 instances. Strong experience with Docker, Kubernetes, Terraform, and Jenkins. Expertise in Java, Spring Boot, and frontend technologies (React, Vue.js). Solid understanding of networking concepts (OSI model, TCP/IP, VPC, DNS). Experience with infrastructure automation, including scripting (Bash, Python). Familiarity with secure coding practices and vulnerability management. Strong communication skills, both verbal and written. Proven ability to manage code changes using Git, including branching and merging. Ability to create and maintain documentation for changes, database schemas, and APIs. Proficient in setting up CloudWatch for monitoring, logging, and alerting. Expertise in CI tools like Jenkins, GitLab CI, for automating build and test pipelines. Experience with CD tools like Jenkins, AWS CodeDeploy, or ArgoCD for automating the deployment process. Strong understanding of designing and managing CI/CD pipelines to automate build, test, and deployment processes Financial Responsibilities Monitor and manage costs associated with cloud infrastructure on AWS. Optimize resource usage to ensure cost-efficiency. Supervisory Responsibilities Mentor Junior Developers, Testers and provide guidance on DevOps best practices. Education Bachelors degree in Computer Science, Engineering, or a related field. Experience And Qualifications Minimum of 3-5 years of experience in DevOps role with a focus on cloud platforms (AWS). Demonstrated experience with GIT, Jenkins, Docker, EKS, IAM, VPC, EC2 and Terraform. Strong background in managing infrastructure and deploying applications in cloud environments. Experience using Helm for managing Kubernetes applications and simplifying deployments. Hand-on Experience in implementing CICD pipelines. Experience with secure coding practices and vulnerability management. Ability to work effectively in a collaborative team environment. (ref:hirist.tech) Show more Show less

Our Company Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We design intelligent platforms that solve complex business problems and deliver measurable impact through cutting-edge AI Overview : We are seeking an experienced Solution Architect with a strong foundation in software architecture and a working knowledge of AI-based products or platforms. In this role, you will be responsible for designing robust, scalable, and secure architectures that support AI-driven applications and enterprise systems. You will work closely with cross-functional teamsincluding data scientists, product managers, and engineering leadsto bridge the gap between business needs, technical feasibility, and AI we are looking from an ideal candidate ? Architect end-to-end solutions for enterprise and product-driven platforms, including components such as data pipelines, APIs, AI model integration, cloud infrastructure, and user interfaces. Guide teams in selecting the right technologies, tools, and design patterns to build scalable systems. Collaborate with AI/ML teams to understand model requirements and ensure smooth deployment and integration into production. Define system architecture diagrams, data flow, service orchestration, and infrastructure provisioning using modern tools. Work closely with stakeholders to translate business needs into technical solutions, with a focus on scalability, performance, and security. Provide leadership on best practices for software development, DevOps, and cloud-native architecture. Conduct architecture reviews and ensure alignment with security, compliance, and performance Skills : What skills do you need ? Requirements 10+ years of experience in software architecture or solution design roles. Proven experience designing systems using microservices, RESTful APIs, event-driven architecture, and cloud-native technologies. Hands-on experience with at least one major cloud provider: AWS, GCP, or Azure. Familiarity with AI/ML platforms or components, such as integrating AI models, MLOps pipelines, or inference services. Understanding of data architectures, including data lakes, streaming, and ETL pipelines. Strong experience with containerization (Docker, Kubernetes) and DevOps principles. Ability to lead technical discussions, make design trade-offs, and communicate with both technical and non-technical Qualifications : Exposure to AI model lifecycle management, prompt engineering, or real-time inference workflows. Experience with infrastructure-as-code (Terraform, Pulumi). Knowledge of GraphQL, gRPC, or serverless architectures. Previous experience working in AI-driven product companies or digital transformation We Offer : High-impact role in designing intelligent systems that shape the future of AI adoption. Work with forward-thinking engineers, researchers, and innovators. Strong focus on career growth, learning, and technical leadership. Compensation is not a constraint for the right candidate. (ref:hirist.tech) Show more Show less

Job Description Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We build intelligent, scalable, and future-ready digital platforms that drive the next wave of AI-powered transformation. Role Overview We are seeking a highly skilled and experienced Senior Node.js Developer with 5+ years of hands-on experience in backend development. As part of our engineering team, you will be responsible for architecting and building scalable APIs, services, and infrastructure that power high-performance AI-driven applications. You'll collaborate with front-end developers, DevOps, and data teams to ensure fast, secure, and efficient back-end functionality that meets the needs of modern AI-first products. Key Responsibilities Design, build, and maintain scalable server-side applications and APIs using Node.js and related frameworks. Implement RESTful and GraphQL APIs for data-driven and real-time applications. Collaborate with front-end, DevOps, and data teams to build seamless end-to-end solutions. Optimize application performance, scalability, and security. Write clean, maintainable, and well-documented code. Integrate with third-party services and internal microservices. Apply best practices in code quality, testing (unit/integration), and continuous integration/deployment. Troubleshoot production issues and implement monitoring and alerting solutions. Requirements 5+ years of professional experience in backend development using Node.js. Proficiency in JavaScript (ES6+) and strong experience with Express.js, NestJS, or similar frameworks. Experience with SQL and NoSQL databases (e.g. , PostgreSQL, MySQL, MongoDB). Strong understanding of API security, authentication (OAuth2, JWT), and rate limiting. Experience building scalable microservices and working with message queues (e.g. , RabbitMQ, Kafka). Familiarity with containerized applications using Docker and orchestration via Kubernetes. Proficient in using Git, CI/CD pipelines, and version control best practices. Solid understanding of performance tuning, caching, and system design. Preferred Qualifications Experience in cloud platforms like AWS, GCP, or Azure. Exposure to building backends for AI/ML platforms, data pipelines, or analytics dashboards. Familiarity with GraphQL, WebSockets, or real-time communication. Knowledge of infrastructure-as-code tools like Terraform is a plus. Experience with monitoring tools like Prometheus, Grafana, or New Relic. What We Offer The chance to work on cutting-edge products leveraging AI and intelligent automation. A high-growth, innovation-driven environment with global exposure. Access to modern development tools and cloud-native technologies. Attractive compensation - no constraints for the right candidate. (ref:hirist.tech) Show more Show less

About The Role WebCraft IT is seeking a skilled Full Stack Developer with expertise in C#, ASP.NET, Azure, SQL, DevOps, and Data Structures & Algorithms (DSA). If you're passionate about building scalable applications and optimizing cloud-based solutions, we'd love to hear from you!. Key Responsibilities Develop and maintain applications using C#, ASP.NET, Node.js. Build & optimize SQL databases (queries, indexing, performance tuning). Implement Azure DevOps CI/CD pipelines and Infrastructure as Code (Terraform). Secure authentication and access management using EntraID (Azure AD). Debug, troubleshoot, and optimize backend performance. Must-Have Skills C#, ASP.NET, SQL, Azure DevOps, Terraform, EntraID. Strong command over Data Structures & Algorithms (DSA). Experience in building APIs & cloud solutions. Excellent problem-solving & debugging skills. Proficiency in Azure Storage services and infrastructure automation with Terraform. (ref:hirist.tech) Show more Show less

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We build intelligent, cutting-edge solutions designed to scale and evolve with the future of artificial intelligence. Role Overview We are looking for a skilled and versatile AI Infrastructure Engineer (DevOps/MLOps) to build and manage the cloud infrastructure, deployment pipelines, and machine learning operations behind our AI-powered products. You will work at the intersection of software engineering, ML, and cloud architecture to ensure that our models and systems are scalable, reliable, and production-ready. Key Responsibilities Design and manage CI/CD pipelines for both software applications and machine learning workflows. Deploy and monitor ML models in production using tools like MLflow, SageMaker, Vertex AI, or similar. Automate the provisioning and configuration of infrastructure using IaC tools (Terraform, Pulumi, etc. Build robust monitoring, logging, and alerting systems for AI applications. Manage containerized services with Docker and orchestration platforms like Kubernetes. Collaborate with data scientists and ML engineers to streamline model experimentation, versioning, and deployment. Optimize compute resources and storage costs across cloud environments (AWS, GCP, or Azure). Ensure system reliability, scalability, and security across all environments. Requirements 5+ years of experience in DevOps, MLOps, or infrastructure engineering roles. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and services related to ML workloads. Strong knowledge of CI/CD tools (e.g, GitHub Actions, Jenkins, GitLab CI). Proficiency in Docker, Kubernetes, and infrastructure-as-code frameworks. Experience with ML pipelines, model versioning, and ML monitoring tools. Scripting skills in Python, Bash, or similar for automation tasks. Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK, CloudWatch, etc. Understanding of ML lifecycle management and reproducibility. Preferred Qualifications Experience with Kubeflow, MLflow, DVC, or Triton Inference Server. Exposure to data versioning, feature stores, and model registries. Certification in AWS/GCP DevOps or Machine Learning Engineering is a plus. Background in software engineering, data engineering, or ML research is a bonus. What We Offer Work on cutting-edge AI platforms and infrastructure. Cross-functional collaboration with top ML, research, and product teams. Competitive compensation package - no constraints for the right candidate. (ref:hirist.tech) Show more Show less

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We build intelligent, secure, and scalable digital platforms that power the future of AI across industries. Role Overview We are looking for a Senior Security Specialist with 8+ years of experience in cybersecurity, cloud security, and application security. You will be responsible for identifying, mitigating, and preventing threats across our technology landscape - particularly in AI-powered, data-driven environments. This role involves leading penetration testing efforts, managing vulnerability assessments, and implementing best-in-class security tools and practices to protect our platforms and clients. Key Responsibilities Design and implement robust security architectures for cloud-native and on-prem environments. Conduct penetration testing (internal/external, network, application, API) and deliver clear remediation strategies. Perform regular vulnerability assessments using industry-standard tools and frameworks. Lead threat modeling and risk assessments across systems, services, and data pipelines. Collaborate with development and DevOps teams to integrate security in SDLC and CI/CD pipelines (DevSecOps). Define and enforce security policies, incident response procedures, and access controls. Monitor for security breaches and investigate security events using SIEM and forensic tools. Ensure compliance with global standards such as ISO 27001, SOC 2, GDPR, and HIPAA. Provide guidance on secure implementation of AI/ML components and data protection strategies. Requirements 8+ years of experience in information security, application security, or cybersecurity engineering. Proficient in penetration testing methodologies and use of tools such as Burp Suite, Metasploit, Nmap, Wireshark, Nessus, OWASP ZAP, Qualys, etc. Deep experience in vulnerability management, patching, and security hardening practices. Strong understanding of OWASP Top 10, CWE/SANS Top 25, API security, and secure coding principles. Hands-on experience with cloud security (AWS, Azure, or GCP), IAM, firewalls, WAFs, encryption, and endpoint security. Familiarity with SIEM, EDR, IDS/IPS, and DLP solutions. Knowledge of DevSecOps and tools like Terraform, Kubernetes, Docker, etc. Excellent problem-solving, analytical, and incident-handling capabilities. Preferred Qualifications Certifications such as CISSP, CISM, CEH, OSCP, or AWS Security Specialty. Experience working on security aspects of AI/ML platforms, data pipelines, or model inferencing. Familiarity with governance and compliance frameworks (e.g, PCI-DSS, HIPAA). Experience in secure agile product environments and threat modeling techniques. What We Offer A mission-critical role securing next-gen AI systems. Opportunity to work with an innovative and fast-paced tech company. High visibility and leadership opportunities in a growing security function. Compensation is not a constraint for the right candidate. (ref:hirist.tech) Show more Show less

About Job Role We are on a mission to build scalable, high-performance systems, and were looking for a Backend Engineer (SDE II) who can design, build, and maintain services that power our core platform. Key Responsibilities Architect and implement scalable backend systems using Python (Django/FastAPI) and TypeScript (Node.js). Lead system design discussions and own the design of backend modules and infrastructure. Design and optimize PostgreSQL schemas and queries for performance and reliability. Build microservices and deploy them using Docker and Kubernetes. Drive DevOps best practices including CI/CD, infrastructure automation, and cloud deployment. Integrate and manage RabbitMQ for asynchronous processing and event-driven workflows. Set up and manage log aggregation, monitoring, and alerting using tools like Prometheus, Grafana, ELK stack. Conduct code reviews, share knowledge, and mentor junior engineers and interns. Proactively monitor and improve the reliability, scalability, and performance of backend systems. Collaborate with cross-functional teams on features, architecture, and tech strategy. Experience & Qualifications 36 years of experience in backend development with strong command of Python and TypeScript. Expertise in building web services and APIs using Django, FastAPI, or Node.js. Strong knowledge of relational databases, particularly PostgreSQL. Solid experience with Kubernetes and Docker for deploying and managing microservices. Experience in DevOps operations, CI/CD pipelines, and infrastructure as code. Proficiency in RabbitMQ or similar message queue technologies. Hands-on experience with monitoring, logging, and alerting stacks (e.g., ELK, Prometheus, Grafana). Strong system design skills able to design scalable, fault-tolerant, and maintainable systems. Familiarity with Git workflows, agile processes, and collaborative software development. Good To Have Experience with cloud platforms like AWS, Azure, or GCP. Knowledge of Helm, Terraform, or similar IaC tools. Understanding of GraphQL and streaming data pipelines (Kafka, Redis streams, etc.). Exposure to event-driven architectures and distributed systems. Publicly available GitHub contributions or tech blog posts. (ref:hirist.tech) Show more Show less

Key Responsibilities Should be able to containerise the applications using Docker or Kubernetes. Can design, build & maintain software infrastructure for complete CI/CD for the build, deployment, and testing of the department's systems globally. Should be able to deploy and modify existing templates to deliver production-grade Cloud Infrastructure in AWS. Should be able to upgrade the applications, databases, etc. Should be able to do Infrastructure provisioning using Terraform. Should be able to write scripts and automate manual tasks using Ansible, Shell Scripting, Python, Ansible Tower, etc. Build and scale the technology infrastructure to meet rapidly increasing demand. Monitor and troubleshoot platform issues. Required Skills 5+ years of relevant experience. Expertise in Docker. Experience in CI/CD tools like Jenkins, AWS Codepipeline, etc. Experience with Kubernetes (1.28+) and containerized applications. In-depth knowledge of AWS services and hands-on experience in AWS provisioning. Understanding of microservices architecture and debugging/investigation techniques. Strong understanding of systems, networking, and troubleshooting techniques. Experience in the automated build pipeline, continuous integration, and continuous deployment. Knowledge of cloud monitoring, logging, and cost management tools. Strong programming/scripting knowledge - Python, Go, Ansible. Shell Scripting. Ability to operate in an agile environment. Experience with other IaaS platforms is a plus. (ref:hirist.tech) Show more Show less

Key Responsibilities Hands-on experience with multi-cloud environments (e.g., Azure, AWS, GCP) Design and maintain AWS infrastructure (EC2, S3, VPC, RDS, IAM, Lambda and other AWS services). Implement security best practices (IAM, GuardDuty, Security Hub, WAF). Configure and troubleshoot AWS networking and hybrid and url filtering solutions (VPC, TGW, Route 53, VPNs, Direct Connect). Experience managing physical firewall management (palo alto , cisco etc..) Manage , troubleshoot, Configure and optimize services like Apache, NGINX, and MySQL/PostgreSQL on Linux/Windows/ Ensure Linux/Windows server compliance with patch management and security updates. Provide L2/L3 support for Linux and Windows systems, ensuring minimal downtime and quick resolution of incidents Collaborate with DevOps, application, and database teams to ensure seamless integration of infrastructure solutions Automate tasks using Terraform, CloudFormation, or scripting (Bash, Python). Monitor and optimize cloud resources using CloudWatch, Trusted Advisor, and Cost : 4+ years of AWS experience and system administration in Linux & Windows. Proficiency in AWS networking, security, and automation tools. Certifications : AWS Solutions Architect (required), RHCSA/MCSE (preferred). Strong communication and problem-solving skills. (ref:hirist.tech) Show more Show less

Job Description Design, build, and maintain scalable and efficient data pipelines to move data between cloud-native databases (e.g., Snowflake) and SaaS providers using AWS Glue and Python Implement and manage ETL/ELT processes to ensure seamless data integration and transformation Ensure information security and compliance with data governance standards Maintain and enhance data environments, including data lakes, warehouses, and distributed processing systems Utilize version control systems (e.g., GitHub) to manage code and collaborate effectively with the team Primary Skills Enhancements, new development, defect resolution, and production support of ETL development using AWS native services Integration of data sets using AWS services such as Glue and Lambda functions. Utilization of AWS SNS to send emails and alerts Authoring ETL processes using Python and PySpark ETL process monitoring using CloudWatch events Connecting with different data sources like S3 and validating data using Athena. Experience in CI/CD using GitHub Actions Proficiency in Agile methodology Extensive working experience with Advanced SQL and a complex understanding of SQL. Secondary Skills Experience working with Snowflake and understanding of Snowflake architecture, including concepts like internal and external tables, stages, and masking policies. Competencies / Experience Deep technical skills in AWS Glue (Crawler, Data Catalog): 10+ years. Hands-on experience with Python and PySpark: 5+ years. PL/SQL experience: 5+ years CloudFormation and Terraform: 5+ years CI/CD GitHub actions: 5+ year Experience with BI systems (PowerBI, Tableau): 5+ year Good understanding of AWS services like S3, SNS, Secret Manager, Athena, and Lambda: 5+ years Additionally, familiarity with any of the following is highly desirable: Jira, Gi (ref:hirist.tech) Show more Show less

Job Description We are seeking an experienced Azure Cloud & Database Administrator to join our dynamic team. The ideal candidate will be responsible for configuring, managing, and supporting Azure cloud services and SQL Server databases, along with handling cloud migrations and DevOps pipelines. This role requires a proactive professional with strong problem-solving skills and hands-on experience in cloud solutions, database administration, and Responsibilities : Configure, manage, and maintain various Azure services to ensure optimal performance and availability. Perform hands-on administration of SQL Server databases, including backup and disaster recovery planning. Manage and support Azure Data Lake (ADLS) and Azure Data Factory (ADF) solutions. Lead the migration of on-premises instances to sustainable and scalable cloud-based architectures. Design, implement, and manage pipelines using Terraform and Azure DevOps for infrastructure automation and deployment. Execute remediation activities, including the creation and configuration of new resources such as Azure Databricks (ADB), ADLS, and ADF. Configure mount points and manage storage solutions within Azure environments. Facilitate notebook migrations between different Databricks instances. Conduct proactive monitoring, troubleshooting, and resolution of real-time issues in Azure environments and SQL databases. Analyze system requirements, refine and automate recurring processes, and maintain clear documentation of changes and procedures. Collaborate with development teams to assist in query tuning and schema optimization. Provide 24x7 support for critical production systems to ensure minimal downtime and business continuity. Implement and manage security processes and services within Azure Storage and related cloud : Bachelor's degree in Information Technology, Computer Science, or a related field. Proven hands-on experience in Azure cloud services, database administration, and DevOps practices. Strong understanding of cloud migration, storage solutions, security best practices, and disaster recovery planning. Experience with infrastructure as code tools such as Terraform. Strong analytical and problem-solving abilities with attention to detail. Excellent communication and collaboration skills. (ref:hirist.tech) Show more Show less

Data Engineer (3-4 Years Experience) - Real-time & Batch Processing | AWS, Kafka, Click House, Python Location : NOIDA. Experience : 3-4 years. Job Type : Full-Time. About The Role We are looking for a skilled Data Engineer with 3-4 years of experience to design, build, and maintain real-time and batch data pipelines for handling large-scale datasets. You will work with AWS, Kafka, Cloudflare Workers, Python, Click House, Redis, and other modern technologies to enable seamless data ingestion, transformation, merging, and storage. Bonus: If you have Web Data Analytics or Programmatic Advertising knowledge, it will be a big plus!. Responsibilities Real-Time Data Processing & Transformation : Build low-latency, high-throughput real-time pipelines using Kafka, Redis, Firehose, Lambda, and Cloudflare Workers. Perform real-time data transformations like filtering, aggregation, enrichment, and deduplication using Kafka Streams, Redis Streams, or AWS Lambda. Merge data from multiple real-time sources into a single structured dataset for analytics. Batch Data Processing & Transformation Develop batch ETL/ELT pipelines for processing large-scale structured and unstructured data. Perform data transformations, joins, and merging across different sources in Click House, AWS Glue, or Python. Optimize data ingestion, transformation, and storage workflows for efficiency and reliability. Data Pipeline Development & Optimization Design, develop, and maintain scalable, fault-tolerant data pipelines for real-time & batch processing. Optimize data workflows to reduce latency, cost, and compute load. Data Integration & Merging Combine real-time and batch data streams for unified analytics. Integrate data from various sources (APIs, databases, event streams, cloud storage). Cloud Infrastructure & Storage Work with AWS services (S3, EC2, ECS, Lambda, Firehose, RDS, Redshift, ClickHouse) for scalable data processing. Implement data lake and warehouse solutions using S3, Redshift, and ClickHouse. Data Visualization & Reporting Work with Power BI, Tableau, or Grafana to create real-time dashboards and analytical reports. Web Data Analytics & Programmatic Advertising (Big Plus!) : Experience working with web tracking data, user behavior analytics, and digital marketing datasets. Knowledge of programmatic advertising, ad impressions, clickstream data, and real-time bidding (RTB) analytics. Monitoring & Performance Optimization Implement monitoring & logging of data pipelines using AWS CloudWatch, Prometheus, and Grafana. Tune Kafka, Click House, and Redis for high performance. Collaboration & Best Practices Work closely with data analysts, software engineers, and DevOps teams to enhance data accessibility. Follow best practices for data governance, security, and compliance. Must-Have Skills Programming : Strong experience in Python and JavaScript. Real-time Data Processing & Merging : Expertise in Kafka, Redis, Cloudflare Workers, Firehose, Lambda. Batch Processing & Transformation : Experience with Click House, Python, AWS Glue, SQL-based transformations. Data Storage & Integration : Experience with MySQL, Click House, Redshift, and S3-based storage. Cloud Technologies : Hands-on with AWS (S3, EC2, ECS, RDS, Firehose, Click House, Lambda, Redshift). Visualization & Reporting : Knowledge of Power BI, Tableau, or Grafana. CI/CD & Infrastructure as Code (IaC) : Familiarity with Terraform, CloudFormation, Git, Docker, and Kubernetes. (ref:hirist.tech) Show more Show less