1171 Cloud Platform Jobs - Page 41

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for a seasoned Senior Manager – CCAI Architect with deep expertise in designing and delivering enterprise-grade Conversational AI solutions using Google Cloud's Contact Center AI (CCAI) suite. This role demands a visionary leader who can bridge the gap between business objectives and AI-driven customer experience innovations. As a senior leader, you will drive architectural decisions, guide cross-functional teams, and define the roadmap for scalable and intelligent virtual agent platforms. Roles & Responsibilities: Own the end-to-end architecture and solution design for large-scale CCAI implementations across industries. Define best practices, reusable frameworks, and architectural patterns using Google Dialogflow CX, Agent Assist, Knowledge Bases, and Gen AI capabilities. Act as a strategic advisor to stakeholders on how to modernize and transform customer experience through Conversational AI. Lead technical teams and partner with product, operations, and engineering leaders to deliver high-impact AI-first customer service platforms. Oversee delivery governance, performance optimization, and scalability of deployed CCAI solutions. Evaluate and integrate cutting-edge Gen AI models (LLMs, PaLM, Gemini) to enhance virtual agent performance and personalization. Enable and mentor architects, developers, and consultants on Google Cloud AI/ML tools and CCAI strategies. 10+ years of experience in enterprise solution architecture, with 4+ years in Google Cloud AI/ML and Conversational AI platforms. Deep expertise in Dialogflow CX, CCAI Insights, Agent Assist, Gen AI APIs, and GCP architecture.Strong leadership in managing large transformation programs involving AI chatbots, voice bots, and omnichannel virtual agents. Proven ability to engage with senior stakeholders, define AI strategies, and align technical delivery with business goals. Experience integrating AI solutions with CRMs, contact center platforms (e.g., Genesys, Five9), and backend systems. Certifications in Google Cloud (e.g., Professional Cloud Architect, Cloud AI Engineer) are a strong plus. Exceptional communication, thought leadership, and stakeholder management skills. Professional & Technical Skills: Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms, NLP and techniques. Experience with chatbot, generative AI models, prompt Engineering.V- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 18+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. A 15-year full time education is required Qualification 15 years full time education

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities: Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya Integrate with IVR systems and Proficiency in webhook setup and API integration. Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline using python. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. Document technical designs, processes, and setup for various integrations. Experience with programming languages such as Python/Node.js Professional & Technical Skills: Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms, NLP and techniques. Experience with chatbot , generative AI models, prompt Engineering. Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. A 15-year full time education is required Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya Integrate with IVR systems and Proficiency in webhook setup and API integration. Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline using python. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. Document technical designs, processes, and setup for various integrations. Experience with programming languages such as Python/Node.js Professional & Technical Skills: Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms and techniques. Experience with chatbot , generative AI models, prompt Engineering Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. A 15-year full time education is required Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. Your typical day will involve deploying infrastructure and platform environments, creating a proof of architecture to test architecture viability, security, and performance. You will play a crucial role in ensuring the success of cloud-based projects and driving innovation in cloud technology. 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. Collaborate with cross-functional teams to gather requirements and design cloud-based solutions. Develop and implement cloud infrastructure and platform environments. Create proof of architecture to test architecture viability, security, and performance. Ensure the availability, scalability, and reliability of cloud applications. Troubleshoot and resolve issues related to cloud infrastructure and applications. Professional & Technical Skills: Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies. Strong understanding of cloud computing concepts and technologies. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of infrastructure as code tools like Terraform or CloudFormation. Familiarity with containerization technologies like Docker and Kubernetes. Additional Information: The candidate should have a minimum of 3 years of experience in Data Modeling Techniques and Methodologies. This position is based at our Hyderabad office. A 15 years full time education is required. Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. Your typical day will involve deploying infrastructure and platform environments, creating a proof of architecture to test architecture viability, security, and performance. You will collaborate with cross-functional teams to ensure successful implementation of cloud solutions and contribute to key decisions. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Collaborate with stakeholders to gather requirements and understand business needs. Design and implement cloud-based solutions that meet business and technical requirements. Ensure the security, scalability, and reliability of cloud applications. Troubleshoot and resolve issues related to cloud infrastructure and applications. Stay up-to-date with the latest trends and best practices in cloud computing. Conduct performance testing and optimization of cloud applications. Document and communicate technical solutions and guidelines to team members. Mentor and guide junior team members in cloud platform engineering best practices. Professional & Technical Skills: Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies. Strong understanding of cloud computing concepts and architectures. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of containerization technologies like Docker and Kubernetes. Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. Good To Have Skills: Experience with DevOps practices and tools. Experience with CI/CD pipelines and automation frameworks. Knowledge of scripting languages such as Python or PowerShell. Solid grasp of networking concepts and protocols. Understanding of security best practices in cloud environments. Additional Information: The candidate should have a minimum of 7.5 years of experience in Data Modeling Techniques and Methodologies. This position is based at our Hyderabad office. A 15 years full time education is required. Qualification 15 years full time education

Responsibilities: Design, develop, test & maintain apps using latest tech stacks. Collaborate with cross-functional teams on project delivery. Ensure app performance, security & compliance with industry standards.

Role & responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines Work with structured and unstructured data from various sources (APIs, databases, cloud storage, etc.) Optimize data workflows and ensure data quality, consistency, and reliability Collaborate with cross-functional teams to understand data requirements and deliver solutions Maintain and improve our data infrastructure and architecture Monitor pipeline performance and troubleshoot issues in real-time Preferred candidate profile 2-3 years of experience in data engineering or a similar role Proficiency in SQL and Python (or Scala/Java for data processing) Experience with ETL tools (e.g., Airflow, dbt, Luigi) Familiarity with cloud platforms like AWS, GCP, or Azure Hands-on experience with data warehouses (e.g., Redshift, BigQuery, Snowflake) Knowledge of distributed data processing frameworks like Spark or Hadoop Experience with version control systems (e.g., Git) Exposure to data modeling and schema design Experience working with CI/CD pipelines for data workflows Understanding of data privacy and security practices

CGI Information Systems and Management Consultants is looking for Cloud Engineer to join our dynamic team and embark on a rewarding career journey. A Cloud Engineer is responsible for designing, implementing, and maintaining an organization's cloud computing infrastructure The following are some key responsibilities for a Cloud Engineer: Design and implement cloud computing solutions using technologies such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Configure and maintain cloud infrastructure, including virtual machines, storage systems, and network settings Monitor and optimize cloud performance, including resources utilization and cost management Implement and maintain security and compliance measures to ensure the confidentiality, integrity, and availability of data and systems Troubleshoot and resolve cloud infrastructure issues, and perform root cause analysis to prevent future incidents Stay up-to-date with the latest cloud computing technologies, trends, and best practices Requirements: Strong knowledge of cloud computing technologies, such as virtualization, containers, and automation Experience with scripting languages such as Python, Bash, or PowerShell Good understanding of network protocols, security best practices, and compliance standards Strong problem-solving and analytical skills Excellent communication and interpersonal skills

PYTHON, API AND CLOUD SERVICES DEVELOPERS MNC BULK HIRE, IMMEDIATE JOINERS ONLY MAX 23 LPA MUST: PYTHON, API AND CLOUD SERVICES 100% REMOTE IS APPLICABLE MUST : 6+ YEARS OF EXPERIENCE AS PYTHON BACKEND DEVELOPER WITH STRONG API AND CLOUD EXPERIENCE Required Candidate profile MANDATORY SKILLS : PYTHON, API AND CLOUD SERVICES 100% REMOTE IS APPLICABLE MUST : 6+ YEARS OF EXPERIENCE AS PYTHON BACKEND DEVELOPER WITH STRONG API AND CLOUD EXPERIENCE YOHI@AXYCUBE.IN

Job Title: Java Backend Engineer Responsibilities: Understand architecture requirements and ensure effective design, development, validation, and support activities. Analyze user requirements, envisioning system features and functionality. Identify bottlenecks and bugs, and recommend system solutions by comparing advantages and disadvantages of custom development. Contribute to team meetings, troubleshooting development and production problems across multiple environments and operating platforms. Ensure effective design, development, validation, and support activities for cloud and containerized solutions. Technical and Professional Requirements: Skills: Proficiency in Java 11+, Spring framework (Boot, Hibernate). Experience with Oracle and PostgreSQL databases. CI/CD with Jenkins pipeline. AWS and Terraform: Amazon Web Services and cloud deployments (S3, SNS, SQS, RDS, DynamoDB, etc.), using tools such as Terraform or AWS CLI. Experience with Mesos/Marathon, Docker, Kubernetes. In-depth knowledge of design issues and best practices. Solid understanding of object-oriented programming. Familiarity with various design, architectural patterns, and software development processes. Experience with both external and embedded databases. Creating database schemas that represent and support business processes. Implementing automated testing platforms and unit tests. Additional Responsibilities: Competencies: Good verbal and written communication skills. Ability to communicate with remote teams effectively. High flexibility to travel. Educational Requirements: Master of Computer Applications, Master of Technology, Master of Engineering, MSc, Bachelor of Technology, Bachelor of Engineering.

Overview We are seeking a highly skilled Senior Architect with extensive experience in leading Hadoop to BigQuery migration projects. As a key member of our team, you will be responsible for designing and implementing scalable solutions that leverage Google Cloud Platform (GCP) technologies, specifically focusing on BigQuery. Your expertise in Big Data technologies, Python scripting, and database migration will be crucial in ensuring the successful transition from Hadoop to BigQuery Responsibilities Key Responsibilities: Lead the architecture and design phases of the Hadoop to BigQuery migration project. Develop strategies and solutions for efficient data ingestion, processing, and storage on GCP. Collaborate with cross-functional teams to ensure alignment with business requirements and technical specifications. Implement best practices for data governance, security, and performance optimization. Provide technical guidance and mentorship to junior team members. Mandatory Skills: GCP Data Engineer Certification Extensive experience with Big Data technologies and frameworks (e.g., Hadoop, BigQuery). Proficiency in Python for scripting and automation. Hands-on experience with Apache Airflow for workflow orchestration. Proven track record in database migration projects, particularly from Hadoop to BigQuery. Optional Skills: Experience with Scala, PySpark, and Spark SQL. Proficiency in Java programming. Familiarity with Informatica or similar ETL tools. Requirements A Bachelor's degree in any field, with a desired MSc/BE/Masters with 15+ years of experience in software development and architecture roles. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Experience working in multi-channel delivery projects

Job Title: Lead IT Infrastructure & Support Company: 91 Springboard Business Hub Private Limited Office Location: Mumbai/Delhi NCR Position Description: 91 Springboard is seeking an experienced and highly skilled Head of IT Infrastructure & Support to lead the organizations IT infrastructure, technical support, and IT operations and requires experience in designing, implementing, and maintaining cutting-edge technology infrastructure while ensuring top-tier technical support for both internal teams and external members. The ideal candidate will drive innovation, optimize systems for performance, and implement best practices to ensure the reliability, security, and scalability of all IT systems across 91 Springboard’s coworking spaces and managed offices. As the Head of IT Infrastructure & Support , you will be responsible for overseeing all aspects of IT systems, networks, cloud infrastructure, and technical support services. Key Responsibilities: 1. IT Infrastructure Management Network Design & Optimization: Lead the design, implementation, and optimization of the entire network infrastructure for coworking spaces, including WAN/LAN, SD-WAN, VPN, routing, and access points. Ensure high availability, redundancy, and performance of all network systems. Cloud Infrastructure: Manage and optimize cloud environments (AWS, Azure, Google Cloud), ensuring efficient use of cloud resources, cost management, and secure configurations for both internal and member-facing services. Data Center & Servers: Oversee on-premises server and storage systems, including virtualization, backup systems, and disaster recovery (DR) planning to ensure business continuity. Wi-Fi & Peripherals: Manage enterprise-grade Wi-Fi systems, network devices (routers, firewalls), end-user devices (laptops, desktops, peripherals), and AV systems for events and conference rooms. 2. IT Security & Compliance Network Security: Implement and continuously improve security measures to protect the IT infrastructure, including firewalls, IDS/IPS, endpoint protection, access control systems and CCTV solutions. Cybersecurity Risk Management: Lead the implementation of security protocols to mitigate vulnerabilities, ensuring the protection of sensitive business and member data. Ensure compliance with regulatory standards such as ISO 27001, GDPR, and SOC 2. Incident Response & Disaster Recovery: Oversee the development and execution of incident management procedures, ensuring swift and effective responses to IT security incidents. Lead post-incident analysis and implement improvements to prevent future incidents. Compliance & Audits: Ensure compliance with internal policies, industry regulations, and best practices. Support internal and external audits for network, cloud, and security compliance. 3. IT Operations & Technical Support Management Support Services Management: Lead the IT support team to ensure effective troubleshooting, resolution of technical issues, and timely service delivery. Ensure high levels of customer satisfaction for both internal employees and coworking members. Incident & Problem Management: Oversee IT incident management processes, ensuring that major incidents are effectively handled, root cause analysis (RCA) is performed, and follow-up actions are implemented to prevent recurrence. Support Process Optimization: Continuously evaluate and enhance IT support processes to improve response times, service quality, and issue resolution. Implement automation tools to streamline support workflows. Service Level Agreements (SLAs): Ensure that SLAs for IT support services are met consistently. Develop and manage KPIs to track the performance of IT support operations. 4. Vendor Management & Procurement Vendor Relations: Manage relationships with key IT vendors, service providers, and consultants to ensure service quality, cost-effectiveness, and adherence to contracts and SLAs. Contract Negotiation: Negotiate contracts with vendors, ensuring optimal pricing, terms, and service level agreements. Oversee renewals and extensions of existing contracts. Procurement Management: Lead the procurement process for IT assets, including hardware, software, cloud services, and network equipment. Ensure the efficient use of resources and manage budgets to optimize costs. 5. IT Strategy, Planning & Execution IT Strategy Development: Work closely with senior leadership to develop and execute the organization’s IT infrastructure strategy. Align IT initiatives with business goals and the needs of the coworking spaces. Technology Roadmap: Develop and maintain a technology roadmap to drive innovation, ensuring that the infrastructure remains cutting-edge and capable of supporting future growth. Project Management: Lead and oversee the planning, execution, and delivery of key infrastructure projects, ensuring they are completed on time, within budget, and in line with business requirements. Manage cross-functional teams to ensure project success. 6. Workplace Technology & Member Experience Coworking Space Technology: Ensure the availability and performance of all technology systems supporting coworking environments, including digital signage (Raspberry Pi), AV setups for events, conference rooms, and meeting areas. Member-Facing Technology: Optimize the technology experience for members, including ensuring fast and reliable Wi-Fi, member services platforms, and support for customized IT requirements. Technology Innovation: Continuously explore and implement innovative solutions that enhance the coworking experience, such as smart office technologies, IoT devices, and automation solutions. 7. Budget & Cost Management IT Budgeting: Develop and manage the IT infrastructure and support services budget, ensuring alignment with business goals and financial constraints. Cost Optimization: Analyze IT costs and identify opportunities for cost savings through Qualifications & Experience: Education: Bachelor's or Master’s degree in Engineering (Computer Science/IT) or related field. Experience: 12+ years in IT infrastructure and support, with at least 5 years in a senior leadership role. Proven experience in managing IT infrastructure for large-scale organizations or coworking spaces. Technical Expertise: The ideal candidate will have expertise in networking (routers, switches, firewalls, SD-WAN, VPNs), cloud platforms (AWS, Azure, Google Cloud), and virtualization (VMware, Hyper-V). They should also have a strong background in network security (firewalls, IDS/IPS, endpoint protection) and experience with data centres, server infrastructure, and disaster recovery. Proficiency in IT service management (ITIL) and leading IT projects (e.g., network upgrades, cloud migrations) using methodologies like PMP or PRINCE2 is essential. A solid understanding of SaaS and software lifecycle management is also required. Preferred certifications include AWS, Azure, Google Cloud, Cisco, and security certifications like CISSP or CISM. This role suits a technically skilled leader who can drive innovation while ensuring security and operational efficiency.

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities includeComprehensive Feature Development and Issue ResolutionWorking on the end to end feature development and solving challenges faced in the implementation. Stakeholder Collaboration and Issue ResolutionCollaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined. Continuous Learning and Technology IntegrationBeing eager to learn new technologies and implementing the same in feature development. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise GCP using pub sub, big query, dataflow, cloud workflow/cloud scheduler, cloud run, data proc, Cloud Function Cloud data engineers with GCP PDE certification and working experience with GCP. Building end to end data pipelines in GCP using pub sub, big query, dataflow, cloud workflow/cloud scheduler, cloud run, data proc, Cloud Function Experience in logging and monitoring of GCP services and Experience in Terraform and infrastructure automation. Expertise in Python coding language Develops data engineering solutions on Google Cloud ecosystem and Supports and maintains data engineering solutions on Google Cloud ecosystem Preferred technical and professional experience Stay updated with the latest trends and advancements in cloud technologies, frameworks, and tools. Conduct code reviews and provide constructive feedback to maintain code quality and ensure adherence to best practices. Troubleshoot and debug issues, and deploy applications to the cloud platform

Technology Stack You'll work with technologies such as Java, Spring Boot, Kafka, Aurora, Mesos, Jenkins etc. This will be a hands-on coding role working as part of a cross-functional team alongside other developers, designers and quality engineers, within an agile development environment. Were working on the development of our next generation learning platform and solutions utilizing the latest in server and web technologies. Responsibilities: Build high-quality, clean, scalable, and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) on the team. Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users. Drive the design, prototype, implementation, and scale of cloud data platforms to tackle business needs. Identify ways to improve data reliability, efficiency, and quality. Plan and perform development tasks from design specifications. Provide accurate time estimates for development tasks. Construct and verify (unit test) software components to meet design specifications. Perform quality assurance functions by collaborating with the cross-team members to identify and resolve software defects. Provide mentoring on software design, construction, development methodologies, and best practices. Participate in production support and on-call rotation for the services owned by the team. Mentors less experienced engineers in understanding the big picture of company objectives, constraints, inter-team dependencies, etc. Participate in creating standards and ensuring team members adhere to standards, such as security patterns, logging patterns, etc. Collaborate with project architects and cross-functional team members/vendors in different geographical locations and assist team members to prove the validity of new software technologies. Promote AGILE processes among development and the business, including facilitation of scrums. Have ownership over the things you build, help shape the product and technical vision, direction, and how we iterate. Work closely with your product and design teammates for improved stability, reliability, and quality. Perform other duties as assigned to ensure the success of the team and the entire organization. Run numerous experiments in a fast-paced, analytical culture so you can quickly learn and adapt your work. Promote a positive engineering culture through teamwork, engagement, and empowerment. Function as the tech lead for various features and initiatives on the team. Build and maintain CI/CD pipelines for services owned by team by following secure development practices. Skills & Experience: 5 to 8 years' experience in a relevant software development role Excellent object-oriented design & programming skills, including the application of design patterns and avoidance of anti-patterns. Strong Cloud platform skills: AWS Lambda, Terraform, SNS, SQS, RDS, Kinesis, DynamoDB etc. Experience building large-scale, enterprise applications with ReactJS/AngularJS. Proficient with front-end technologies, such as HTML, CSS, JavaScript preferred. Experience working in a collaborative team of application developers and source code repositories. Deep knowledge of more than one programming language like Node.js/Java. Demonstrable knowledge of AWS and Data Platform experience: Lambda, Dynamodb, RDS, S3, Kinesis, Snowflake. Demonstrated ability to follow through with all tasks, promises and commitments. Ability to communicate and work effectively within priorities. Ability to advocate ideas and to objectively participate in design critiques. Ability to work under tight timelines in a fast-paced environment. Advanced understanding of software design concepts. Understanding software development methodologies and principles. Ability to solve large scale complex problems. Ability to architect, design, implement, and maintain large scale systems. Strong technical leadership and mentorship ability. Working experience of modern Agile software development methodologies (i.e. Kanban, Scrum, Test Driven Development)

Conduct seminars in colleges across Tamil Nadu (Full-Time, Travel-based role). Share your project experience or use our provided content to inspire students. Passionate about cloud and mentoring. Accommodation, food & travel covered by company.

Role: Senior / Lead Data Scientist Experience: 6 - 8 years Qualification: BE/B.Tech Location: Chennai Employment: Full-time Responsibilities Engage with clients to understand business problems and come up with approaches to solve them. Ability to articulate Analytics/Data Science solutions to clients. Guide, mentor, and coach junior team members. An ideal candidate would have the following skill sets. Good understanding of statistical and data mining techniques. Hands-on Experience in building Machine Learning models in Python. Ability to collect, clean, and engineer large amounts of data using SQL/PySpark techniques. Data analysis and visualization skills to bring out valuable insights from data. Experience working in at least one of the cloud platforms preferred: Azure, AWS, or GCP. It is good to have a working knowledge of Large Language Models (LLMs)

Seeking skilled & experienced Technical Manager to oversee the successful planning#Lead end-to-end solution delivery, from requirements gathering to implementation#Coordinate with engineering, product management, & QA teams, ensure seamless execution Required Candidate profile Strong technical background#Experience in software engineering, Solution delivery, & Project management#Knowledge on Agile methodologies#Certifications in PMP, Scrum Master, ITIL & RTE certification.

Role: Data Architect Location: Pune or Ready to Relocate Availability: Immediate to 15 Days Joiners Only We are looking for an experienced Data Architect to design and implement scalable, secure, and high-performance data architectures Key Responsibilities : Design and implement scalable, secure, and high-performance data architectures (data warehouse, data lake, lakehouse). Define and enforce data architecture standards, best practices, and governance policies. Collaborate with data engineers, analysts, and business stakeholders to deliver reliable and actionable data solutions. Lead or contribute to data modernization initiatives, including cloud migration and data lake adoption. Support pre-sales engagements with architecture advisory, proof of concepts (POCs), scoping, and solutioning. Required Qualifications : 9+ years of experience in data engineering , business intelligence , or database architecture . Hands-on experience with modern cloud platforms such as AWS , Azure , or GCP . Proficient in at least one cloud-native data warehouse (e.g., Snowflake , Redshift , BigQuery , Synapse ). Experience with ETL/ELT tools like Matillion , Informatica , Talend , dbt , AWS Glue , Azure Data Factory . Strong SQL skills and familiarity with Python / Scala for data processing. Nice to Have : Certifications in cloud platforms or data-related tools. Experience with Salesforce and Tableau . Soft Skills : Strong communication and stakeholder management abilities. Ability to mentor junior engineers and contribute to the development of the team.

Overview GEP is a diverse, creative team of people passionate about procurement. We invest ourselves entirely in our client’s success, creating strong collaborative relationships that deliver extraordinary value year after year. Our clients include market global leaders with far-flung international operations, Fortune 500 and Global 2000 enterprises, leading government and public institutions. We deliver practical, effective services and software that enable procurement leaders to maximise their impact on business operations, strategy and financial performance. That’s just some of the things that we do in our quest to build a beautiful company, enjoy the journey and make a difference. GEP is a place where individuality is prized, and talent respected. We’re focused on what is real and effective. GEP is where good ideas and great people are recognized, results matter, and ability and hard work drive achievements. We’re a learning organization, actively looking for people to help shape, grow and continually improve us. Are you one of us? GEP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, disability status, or any other characteristics protected by law. We are committed to hiring and valuing a global diverse work team. For more information please visit us on GEP.com or check us out on LinkedIn.com. Responsibilities The candidate will be responsible for creating infrastructure designs and guiding the development and implementation of infrastructure, applications, systems and processes. This position will be working directly with infrastructure, application development and QA teams to build and deploy highly available and scalable systems in private or public cloud environments along with release management. • Candidate must have experience on AZURE or GCP Cloud Platform • Building a highly scalable, highly available, private or public infrastructure • Owning and maintaining and enhancing the infrastructure and the related tools • Help build out an entirely CI ecosystem, including automated and auto scaling testing systems. • Design and implement monitoring and alerting for production systems used by DevOps staff • Work closely with developers and other staff to solve DevOps issues with customer facing services, tools and apps Qualifications REQUIREMENTS • 2+ of experience working in a DevOps role in a continuous integration environment specially in Micro-Soft technologies. • Strong knowledge of configuration management software such as Power Shell, Ansible, Continuous integration tools such as Octopus, Azure DevOps, Jenkins • Developing complete solutions considering sizing, infrastructure, data protection, disaster recovery, security, application requirements on cloud enterprise systems. • Experience adhering to an Agile development environment and iterative sprint cycle. • Familiarity with Database Deployment and CI/CD Pipeline. • Hands-on experience with CI/CD tools like VSTS, Azure DevOps, Jenkins(at least one of this tools experience) • Worked on Docker, Container, Kubernetes, AWS EKS, API Gateway, Application Load balancer , WAF, Cloud Front • Experience with GIT, or Github and the gitflow model, administration, User Management. Must be worked on AWS Platform with minimum 2 years of experience. • Strong understanding of Linux. Strong experience in various tools related to Continuous Integration and Continuous Deployment. • Automating builds using MS Build scripts • Any Scripting language(ruby,python, Yaml, Terraform) or any other application development experience(.net , java or golan etc) • Ability to write in multiple languages including Python, Java, Ruby, and Bash scripting. • Experience with setting up SLAs and monitoring of infrastructure and applications using Nagios, New Relic, Pingdom, VictorOps/Pagerduty like tools. • Experience with network configurations (switches, routers, firewalls) and a good understanding of routing and switching, firewalls, VPN tunnels.

Overview GEP is a diverse, creative team of people passionate about procurement. We invest ourselves entirely in our client’s success, creating strong collaborative relationships that deliver extraordinary value year after year. Our clients include market global leaders with far-flung international operations, Fortune 500 and Global 2000 enterprises, leading government and public institutions. We deliver practical, effective services and software that enable procurement leaders to maximise their impact on business operations, strategy and financial performance. That’s just some of the things that we do in our quest to build a beautiful company, enjoy the journey and make a difference. GEP is a place where individuality is prized, and talent respected. We’re focused on what is real and effective. GEP is where good ideas and great people are recognized, results matter, and ability and hard work drive achievements. We’re a learning organization, actively looking for people to help shape, grow and continually improve us. Are you one of us? GEP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, disability status, or any other characteristics protected by law. We are committed to hiring and valuing a global diverse work team. For more information please visit us on GEP.com or check us out on LinkedIn.com. Responsibilities The candidate will be responsible for creating infrastructure designs and guiding the development and implementation of infrastructure, applications, systems and processes. This position will be working directly with infrastructure, application development and QA teams to build and deploy highly available and scalable systems in private or public cloud environments along with release management. • Candidate must have experience on AZURE or GCP Cloud Platform • Building a highly scalable, highly available, private or public infrastructure • Owning and maintaining and enhancing the infrastructure and the related tools • Help build out an entirely CI ecosystem, including automated and auto scaling testing systems. • Design and implement monitoring and alerting for production systems used by DevOps staff • Work closely with developers and other staff to solve DevOps issues with customer facing services, tools and apps Qualifications 9+ of experience working in a DevOps role in a continuous integration environment specially in Micro-Soft technologies. • Strong knowledge of configuration management software such as Power Shell, Ansible, Continuous integration tools such as Octopus, Azure DevOps, Jenkins • Developing complete solutions considering sizing, infrastructure, data protection, disaster recovery, security, application requirements on cloud enterprise systems. • Experience adhering to an Agile development environment and iterative sprint cycle. • Familiarity with Database Deployment and CI/CD Pipeline. • Hands-on experience with CI/CD tools like VSTS, Azure DevOps, Jenkins(at least one of this tools experience) • Worked on Docker, Container, Kubernetes, AWS EKS, API Gateway, Application Load balancer , WAF, Cloud Front • Experience with GIT, or Github and the gitflow model, administration, User Management. Must be worked on AWS Platform with minimum 2 years of experience. • Strong understanding of Linux. Strong experience in various tools related to Continuous Integration and Continuous Deployment. • Automating builds using MS Build scripts • Any Scripting language(ruby,python, Yaml, Terraform) or any other application development experience(.net , java or golan etc) • Ability to write in multiple languages including Python, Java, Ruby, and Bash scripting. • Experience with setting up SLAs and monitoring of infrastructure and applications using Nagios, New Relic, Pingdom, VictorOps/Pagerduty like tools. • Experience with network configurations (switches, routers, firewalls) and a good understanding of routing and switching, firewalls, VPN tunnels

Job Title : Snowflake Developer (4+ years' experience) Location : F, 384, Sector 91 Rd, Phase 8B, Industrial Area, Sector 91, Sahibzada Ajit Singh Nagar, Punjab 160055. Job Type : Fulltime (In-house) Job Overview : We are looking for an experienced Snowflake Developer with 4+ years of hands-on experience in Snowflake Data Warehouse and related tools. You will be responsible for building, managing, and optimizing Snowflake data pipelines, assisting in data integration, and contributing to overall data architecture. The ideal candidate should have a strong understanding of data modeling, ETL processes, and experience working with cloud-based data platforms. Responsibilities : Design, develop, and maintain Snowflake Data Warehouses. Create and manage Snowflake schema, tables, views, and materialized views. Implement ETL processes to integrate data from various sources into Snowflake. Optimize query performance and data storage in Snowflake. Work with stakeholders to define data requirements and provide technical solutions. Collaborate with Data Engineers, Data Scientists, and Analysts to build efficient data pipelines. Monitor and troubleshoot performance issues in Snowflake environments. Automate repetitive data processes and report generation tasks. Ensure data integrity, security, and compliance with data governance policies. Assist in data migration and platform upgrades. Required Skills : 4+ years of experience working with Snowflake Data Warehouse . Proficient in SQL , SnowSQL , and ETL processes . Strong experience in data modeling and schema design in Snowflake. Experience with cloud platforms (AWS, Azure, or GCP). Familiarity with data pipelines , data lakes, and data integration tools. Experience in query optimization and performance tuning in Snowflake. Understanding of data governance and best practices. Strong knowledge of data security and privacy policies in a cloud environment. Experience in using tools like dbt , Airflow , or similar orchestration tools is a plus. #Salary: No bar for deserving candidates. Location: - Mohali Punjab (Work from office) Shift:- Night Shift Other Benefits: 5 Days working US based work culture and environment Indoor and Outdoor events Paid Leaves Health Insurance Employee engagement activities like month end & festival celebration, team outing, birthday celebrations. Gaming and sports area Please comment/DM to know more. You may also e-mail your resume to me at priyankaaggarwal@sourcemash.com

Who you are: You are an IBM Cloud Software Development Engineer. You are talented, innovative and enthusiastic Software engineering professional who wants to develop and improve software that powers the Cloud and build the next generation cloud & security services to make our customers succeed. What you’ll do: You are a part of Cloud platform Service Engineering team. You are responsible for delivering infrastructure services with top-notch performance, first-rate security, fail-safe reliability and exceptional quality. You will be the key individual responsible for development of new cloud services on the IBM Cloud Platform. You will get to work with Fortune 100 Enterprise clients and build hyperscale cloud services for the largest companies in the world. We are a global team, so communication skills (both verbal and written) are critical as well as flexibility to work with team members in other time zones. How we’ll help you grow: You’ll have access to all the technical and management training courses to become the expert you want to be. You’ll learn directly from Senior members/leaders in this field. You'll have the opportunity to work with multiple clients. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Minimum5+years of experience What are the specific numbers of years required for each skill? 5+ or more years relevant work experience Demonstrated problem-solving and analytical skills Proficient in Python Working experience on Docker/Kubernetes Working experience on devops / CI-CD Familiarity working with bare metal serversand hardware Computer/Server hardware knowledge and working experience Experience with relational databases and SQL (Oracle, MySQL,MSSQL), also non-relational e.g. ETCD a plus. Experience in developing efficient automated unit / functional tests to support continuous integration for production code. Preferred technical and professional experience What are the specific numbers of years preferred for each skill? Experience in working agile/scrum development paradigm Experience in developing working software in small increments to support continuous delivery. Knowledge of basic security practices What types of technologies and trends, beyond the requirements, should someone in this role be passionate about? Cloud computing Hardware and server technologies

•Core Java with hands-on experience in building and maintaining Java-based applications. •Experience in Oracle Integration Cloud (OIC) for designing and developing integration solutions, or similar integration platforms, is highly preferred.

Project Role : Security Advisor Project Role Description : Provide enterprise-level advice to make organizations cyber resilient. Assist in navigating the complex landscape of cyber threats, ensuring robust digital asset protection while maintaining trust with stakeholders. Must have skills : Identity Access Management (IAM), GitHub, Unix, Splunk, MySQL, Python, Ansible, Terraform Good to have skills : CyberArk Privileged Access Management, Google Cloud Platform Administration, ControlM Administration Minimum 5 year(s) of experience is required Educational Qualification : A Bachelors or Masters Degree in Technology or similar streams as fulltime education is required Summary :As a Security Advisor, you will lead the effort and teams to enable development and implementation of proprietary and innovative security solutions. Assess, manage and ensure compliance to risk reducing behaviors and processes. Showcasing leadership and expertise in security solutions. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Lead the development and implementation of security solutions. Assess and manage risk reducing behaviors and processes. Ensure compliance with security standards and protocols. Professional & Technical Skills: Must To Have Skills: Proficiency in Identity Access Management (IAM). Privileged Access Management (PAM) concepts Must To Have Skills: Experience with Google Cloud Platform Administration, CyberArk, Splunk Monitoring, Python Scripting, Github, Unix, MySQL. Strong understanding and working knowledge in Automation tools such as Ansible, Terraform. Strong understanding of security protocols and best practices. Knowledge of CyberArk Privileged Identity Access Management. Experience in ControlM Administration. Additional Information: The candidate should have a minimum of 7.5 years of experience in Identity Access Management (IAM). This position is based at our Pune office. A Bachelors or Masters Degree in Technology or similar streams as fulltime education is required. Qualification A Bachelors or Masters Degree in Technology or similar streams as fulltime education is required

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500 experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! REQUIREMENTS: Total experience 7+ years Extensive experience in back-end development utilizing Java 8 or higher, Spring Framework (Core/Boot/MVC), Hibernate/JPA, and Microservices Architecture. Experience with messaging systems like Kafka. Hands-on experience with REST APIs, Caching system (e.g Redis) etc. Proficiency in Service-Oriented Architecture (SOA) and Web Services (Apache CXF, JAX-WS, JAX-RS, SOAP, REST). Hands-on experience with multithreading, and cloud development. Strong working experience in Data Structures and Algorithms, Unit Testing, and Object-Oriented Programming (OOP) principles. Hands-on experience with relational databases such as SQL Server, Oracle, MySQL, and PostgreSQL. Experience with DevOps tools and technologies such as Ansible, Docker, Kubernetes, Puppet, Jenkins, and Chef. Proficiency in build automation tools like Maven, Ant, and Gradle. Hands on experience on cloud technologies such as AWS/ Azure. Strong understanding of UML and design patterns. Ability to simplify solutions, optimize processes, and efficiently resolve escalated issues. Strong problem-solving skills and a passion for continuous improvement. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Writing and reviewing great quality code Understanding functional requirements thoroughly and analyzing the clients needs in the context of the project Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it Determining and implementing design methodologies and tool sets Enabling application development by coordinating requirements, schedules, and activities. Being able to lead/support UAT and production roll outs Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement Giving constructive feedback to the team members and setting clear expectations. Helping the team in troubleshooting and resolving of complex bugs Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken Carrying out POCs to make sure that suggested design/technologies meet the requirements