21 Codepipeline Jobs

As a Solution Architect in the Pre-Sales department, with 4-6 years of experience in cloud infrastructure deployment, migration, and managed services, your primary responsibility will be to design AWS Cloud Professional Services and AWS Cloud Managed Services solutions tailored to meet customer needs and requirements. You will engage with customers to analyze their requirements, ensuring cost-effective and technically sound solutions are provided. Your role will also involve developing technical and commercial proposals in response to various client inquiries such as Requests for Information (RFI), Requests for Quotation (RFQ), and Requests for Proposal (RFP). Additionally, you will prepare and deliver technical presentations to clients, highlighting the value and capabilities of AWS solutions. Collaborating closely with the sales team, you will work towards supporting their objectives and closing deals that align with business needs. Your ability to apply creative and analytical problem-solving skills to address complex challenges using AWS technology will be crucial. Furthermore, you should possess hands-on experience in planning, designing, and implementing AWS IaaS, PaaS, and SaaS services. Experience in executing end-to-end cloud migrations to AWS, including discovery, assessment, and implementation, is required. You must also be proficient in designing and deploying well-architected landing zones and disaster recovery environments on AWS. Excellent communication skills, both written and verbal, are essential for effectively articulating solutions to technical and non-technical stakeholders. Your organizational, time management, problem-solving, and analytical skills will play a vital role in driving consistent business performance and exceeding targets. Desirable skills include intermediate-level experience with AWS services like AppStream, Elastic BeanStalk, ECS, Elasticache, and more, as well as IT orchestration and automation tools such as Ansible, Puppet, and Chef. Knowledge of Terraform, Azure DevOps, and AWS development services will be advantageous. In this role based in Noida, Uttar Pradesh, India, you will have the opportunity to collaborate with technical and non-technical teams across the organization, ensuring scalable, efficient, and secure solutions are delivered on the AWS platform.,

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Title: Senior Frontend Developer (ReactJS & AWS) The Opportunity We seek a skilled front-end developer with expertise in ReactJS, AWS, and CI/CD best practices to design, develop, and maintain high-performance, scalable, and reliable web applications using modern cloud-native technologies. Role Description: The person will build and optimize high-performance frontend applications using ReactJS, integrated with AWS services to support the applications requirements. Additionally, the role involves setting up and managing CI/CD pipelines on GitLab, collaborating with our cross-functional, internal teams, and contributing to the overall user experience. Design, develop, and maintain high-performance, scalable, and reliable web applications using ReactJS and next.js Collaborate seamlessly with cross-functional teams (product management, design, engineering, data ops) to deliver exceptional user experiences Work closely with UX/UI designers to translate design systems, mockups or wireframes into functional, clean, and responsive code Implement robust and secure cloud-native architectures, leveraging AWS as our primary platform Optimize web applications for peak performance, scalability, and cost-efficiency Stay abreast of the latest trends and best practices in cloud-native development and web technologies Contribute to the development of reusable components and libraries to streamline development processes Who You Are Programming & Web Development: Proficiency in JavaScript, TypeScript, Python, React, Next.js, JavaScript (ES6+), HTML5, and CSS3 for modern web development Cloud & Serverless Expertise: In-depth knowledge of cloud-native technologies, especially AWS, serverless frameworks (AWS Lambda or Google Cloud Functions), and AWS services like CodePipeline, CodeBuild, and CodeDeploy Containerization & Microservices: Familiarity with Docker, Kubernetes, serverless computing, and microservices architectures for scalable applications API & Database Proficiency: Experience with RESTful APIs, GraphQL, SQL, API design principles, and managing cloud security, including IAM and data encryption DevOps Practices: Expertise in CI/CD pipelines, infrastructure as code, and DevOps tools for automation and efficient development workflows Problem-Solving & Collaboration: Strong troubleshooting and debugging capabilities combined with excellent interpersonal and communication skills Industry Knowledge & Certifications: Experience in regulated industries (e.g., pharmaceuticals, finance) with a focus on data compliance, security, and AWS certifications In exchange we provide you with Development opportunities: Roche is rich in learning resources. We provide constant development opportunities, free language courses & training, the possibility of international assignments, internal position changes and the chance to shape your own career. Excellent benefits & flexibility: competitive salary and cafeteria package, annual bonus, Private Medical Services, Employee Assistance Program, All You Can Move Sportpass, coaching / mentoring opportunity, buddy program, team buildings, holiday party. We also ensure flexibility, to help you find your balance: home office is a common practice (2 office days/week on average, and we provide fully remote working conditions within Hungary). We create the opportunity for freedom in working, where your corporate and private life coexist in harmony A global inclusive community, where we learn from each other. At Roche, we cooperate, debate, make decisions, celebrate successes and have fun as a team. Thats what makes us Roche Please read the Data Privacy Notice for further information about how we handle your personal data related to the recruitment process: https://go.roche.com/dpn4candidates Who we are A healthier future drives us to innovate. Together, more than 100000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Lets build a healthier future, together. Roche is an Equal Opportunity Employer. Show more Show less

You will be leading data engineering activities on moderate to complex data and analytics-centric problems that have a broad impact and require in-depth analysis to achieve desired results. Your responsibilities will include assembling, enhancing, maintaining, and optimizing current data, enabling cost savings, and meeting project or enterprise maturity objectives. Your role will require an advanced working knowledge of SQL, Python, and PySpark. You should also have experience using tools like Git/Bitbucket, Jenkins/CodeBuild, and CodePipeline, as well as familiarity with platform monitoring and alerts tools. Collaboration with Subject Matter Experts (SMEs) is essential for designing and developing Foundry front-end applications with the ontology (data model) and data pipelines supporting these applications. You will be responsible for implementing data transformations to derive new datasets or create Foundry Ontology Objects necessary for business applications. Additionally, you will implement operational applications using Foundry Tools such as Workshop, Map, and/or Slate. Active participation in agile/scrum ceremonies (stand-ups, planning, retrospectives, etc.) is expected from you. Documentation plays a crucial role in this role, and you will create and maintain documentation describing data catalog and data objects. As applications grow in usage and requirements change, you will be responsible for maintaining these applications. A continuous improvement mindset is encouraged, and you will be expected to engage in after-action reviews and share learnings. Strong communication skills, especially in explaining technical concepts to non-technical business leaders, will be essential for success in this role.,

You are a highly skilled front-end React.js developer with a minimum of 2 years of experience, proficient in using Redux, Hooks, Webpack, etc. Additionally, you are highly proficient in Node.js/Express and REST API development with a minimum of 2 years of experience. You have experience working with containers and container management, specifically Docker. In addition, you have RDBMS experience and the ability to write efficient SQL queries, having worked with databases such as Oracle SQL, PostgreSQL, MySQL, or SQL Server. You also have experience with cloud-native design and micro-services-based architecture patterns, as well as familiarity with NoSQL databases like MongoDB and DocumentDB. You are familiar with AWS services such as ECS, EKS, ECR, EC2, and S3, and can build custom Dockerfiles. You can implement CI/CD pipelines using tools like Bamboo, GIT (BitBucket), and CodePipeline. You are proficient in working in Linux environments and competent at scripting. Furthermore, you have experience with other programming languages like Python and Java. Communication is one of your strengths, with good written and verbal skills. If you have any questions, feel free to ask.,

Inviting applications for the role of Principal Consultant -MLOps Engineer! In this role, lead the automation and orchestration of our machine learning infrastructure and CI/CD pipelines on public cloud (preferably AWS). This role is essential for enabling scalable, secure, and reproducible deployments of both classical AI/ML models and Generative AI solutions in production environments. Responsibilities . Develop and maintain CI/CD pipelines for AI/GenAI models on AWS using GitHub Actions and CodePipeline. (Not Limited to) . Automate infrastructure provisioning using IAC. (Terraform, Bicep Etc) . Any cloud platform- Azure or AWS . Package and deploy AI/GenAI models on (SageMaker, Lambda, API Gateway). . Write Python scripts for automation, deployment, and monitoring. . Engaging in the design, development and maintenance of data pipelines for various AI use cases . Active contribution to key deliverables as part of an agile development team . Set up model monitoring, logging, and alerting (e.g., drift, latency, failures). . Ensure model governance, versioning, and traceability across environments. . Collaborating with others to source, analyse, test and deploy data processes . Experience in GenAI project Qualifications we seek in you! Minimum Qualifications experience with MLOps practices. . Degree/qualification in Computer Science or a related field, or equivalent work experience . Experience developing, testing, and deploying data pipelines Strong Python programming skills. Hands-on experience in deploying 2 - 3 AI/GenAI models in AWS. Familiarity with LLM APIs (e.g., OpenAI, Bedrock) and vector databases. . Clear and effective communication skills to interact with team members, stakeholders and end users Preferred Qualifications/ Skills . Experience with Docker-based deployments. . Exposure to model monitoring tools (Evidently, CloudWatch). . Familiarity with RAG stacks or fine-tuning LLMs. . Understanding of GitOps practices. . Knowledge of governance and compliance policies, standards, and procedures

Job Summary: Skilled DevOps Engineer with expertise in AWS. The role involves automating, managing, and maintaining scalable, highly available, and secure AWS infrastructure to support our applications and business goals. Will work closely with developers, QA, and operations to streamline CI/CD processes and ensure robust cloud operations. Key Responsibilities: Design, implement, and manage scalable, secure, and high-availability AWS environments (EC2, ECS/EKS, S3, RDS, Lambda, CloudFront, etc.) - Develop Infrastructure as Code (IaC) using Terraform / CloudFormation. - Build and manage CI/CD pipelines (Jenkins, GitLab CI/CD, CodePipeline, etc.) - Implement automated monitoring and alerting solutions (CloudWatch, Prometheus, Grafana, ELK, etc.) - Manage containerization & orchestration (Docker, Kubernetes/EKS) - Ensure system security through IAM policies, security groups, VPC configurations, encryption, etc. - Handle system upgrades, patching, and performance tuning. - Troubleshoot production issues across services and levels of the stack. - Collaborate with development teams to optimize build and release processes. - Ensure compliance with best practices around availability, security, and disaster recovery. Required Skills & Experience: - Strong hands-on experience with AWS core services (EC2, VPC, ELB, S3, RDS, IAM, Lambda, etc.) - Proficiency in Terraform or AWS CloudFormation for Infrastructure as Code. - Experience with CI/CD tools like Jenkins, GitLab, CodePipeline, or similar. - Good understanding of containerization and orchestration (Docker, Kubernetes/EKS). - Expertise in Linux system administration & shell scripting. - Familiarity with monitoring, logging & alerting solutions (CloudWatch, ELK, Prometheus, etc.) - Knowledge of networking concepts: DNS, VPN, Load Balancing, Security Groups. - Experience with Git version control. - Strong problem-solving and troubleshooting skills. Must Have: - AWS certifications (Solutions Architect, DevOps Engineer, SysOps Administrator) - Exposure to serverless architectures (AWS Lambda, API Gateway) - Scripting with Python/Go for automation - Experience in blue-green / canary deployments - Knowledge of cost optimization strategies on AWS

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Principal Consultant - MLOps Engineer! In this role, lead the automation and orchestration of our machine learning infrastructure and CI/CD pipelines on public cloud (preferably AWS). This role is essential for enabling scalable, secure, and reproducible deployments of both classical AI/ML models and Generative AI solutions in production environments. Responsibilities Develop and maintain CI/CD pipelines for AI/ GenAI models on AWS using GitHub Actions and CodePipeline . (Not Limited to) Automate infrastructure provisioning using IAC. (Terraform, Bicep Etc) Any cloud platform - Azure or AWS Package and deploy AI/ GenAI models on (SageMaker, Lambda, API Gateway). Write Python scripts for automation, deployment, and monitoring. Engaging in the design, development and maintenance of data pipelines for various AI use cases Active contribution to key deliverables as part of an agile development team Set up model monitoring, logging, and alerting (e.g., drift, latency, failures). Ensure model governance, versioning, and traceability across environments. Collaborating with others to source, analyse , test and deploy data processes Experience in GenAI project Qualifications we seek in you! Minimum Qualifications experience with MLOps practices. Degree/qualification in Computer Science or a related field, or equivalent work experience Experience developing, testing, and deploying data pipelines Strong Python programming skills. Hands-on experience in deploying 2 - 3 AI/ GenAI models in AWS. Familiarity with LLM APIs (e.g., OpenAI, Bedrock) and vector databases. Clear and effective communication skills to interact with team members, stakeholders and end users Preferred Qualifications/ Skills Experience with Docker-based deployments. Exposure to model monitoring tools (Evidently, CloudWatch). Familiarity with RAG stacks or fine-tuning LLMs. Understanding of GitOps practices. Knowledge of governance and compliance policies, standards, and procedures Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Looking for an overall experience of 15 years with a min 1.5 to 2 years experience in Palantir Location : Hyderabad( 5 days work from office) Role : Palantir Tech Lead Mandatory Skills: Python, Pyspark and Palantir Need a strong hands on lead engineer. Onsite in Hyderabad. Budget : 32LPA-36LPA Notice period : Immediate to 30 days Tasks and Responsibilities: Leads data engineering activities on moderate to complex data and analytics-centric problems which have broad impact and require in-depth analysis to obtain desired results; assemble, enhance, maintain, and optimize current, enable cost savings and meet individual project or enterprise maturity objectives. advanced working knowledge of SQL, Python, and PySpark Experience using tools such as: Git/Bitbucket, Jenkins/CodeBuild, CodePipeline Experience with platform monitoring and alerts tools Work closely with Subject Matter Experts (SMEs) to design and develop Foundry front end applications with the ontology (data model) and data pipelines supporting the applications Implement data transformations to derive new datasets or create Foundry Ontology Objects necessary for business applications Implement operational applications using Foundry Tools (Workshop, Map, and/or Slate) Actively participate in agile/scrum ceremonies (stand ups, planning, retrospectives, etc.) Create and maintain documentation describing data catalog and data objects Maintain applications as usage grows and requirements change Promote a continuous improvement mindset by engaging in after action reviews and sharing learnings Use communication skills, especially for explaining technical concepts to nontechnical business leader

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Job Overview The AWS Architect with Data Engineering Skills will be responsible for designing, implementing, and managing scalable, robust, and secure cloud infrastructure and data solutions on AWS. This role requires a deep understanding of AWS services, data engineering best practices, and the ability to translate business requirements into effective technical solutions. Key Responsibilities Architecture Design: Design and architect scalable, reliable, and secure AWS cloud infrastructure. Develop and maintain architecture diagrams, documentation, and standards. Data Engineering Design and implement ETL pipelines using AWS services such as Glue, Lambda, and Step Functions. Build and manage data lakes and data warehouses using AWS services like S3, Redshift, and Athena. Ensure data quality, data governance, and data security across all data platforms. AWS Services Management Utilize a wide range of AWS services (EC2, S3, RDS, Lambda, DynamoDB, etc.) to support various workloads and applications. Implement and manage CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy. Monitor and optimize the performance, cost, and security of AWS resources. Collaboration And Communication Work closely with cross-functional teams including software developers, data scientists, and business stakeholders. Provide technical guidance and mentorship to team members on best practices in AWS and data engineering. Security And Compliance Ensure that all cloud solutions follow security best practices and comply with industry standards and regulations. Implement and manage IAM policies, roles, and access controls. Innovation And Improvement Stay up to date with the latest AWS services, features, and best practices. Continuously evaluate and improve existing systems, processes, and architectures. (ref:hirist.tech),

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Principal Consultant -AWS AI/ML Engineer Responsibilities Design, develop, and deploy scalable AI/ML solutions using AWS services such as Amazon Bedrock, SageMaker, Amazon Q, Amazon Lex, Amazon Connect, and Lambda. Implement and optimize large language model (LLM) applications using Amazon Bedrock, including prompt engineering, fine-tuning, and orchestration for specific business use cases. Build and maintain end-to-end machine learning pipelines using SageMaker for model training, tuning, deployment, and monitoring. Integrate conversational AI and virtual assistants using Amazon Lex and Amazon Connect, with seamless user experiences and real-time inference. Leverage AWS Lambda for event-driven execution of model inference, data preprocessing, and microservices. Design and maintain scalable and secure data pipelines and AI workflows, ensuring efficient data flow to and from Redshift and other AWS data stores. Implement data ingestion, transformation, and model inference for structured and unstructured data using Python and AWS SDKs. Collaborate with data engineers and scientists to support development and deployment of ML models on AWS. Monitor AI/ML applications in production, ensuring optimal performance, low latency, and cost efficiency across all AI/ML services. Ensure implementation of AWS security best practices, including IAM policies, data encryption, and compliance with industry standards. Drive the integration of Amazon Q for enterprise AI-based assistance and automation across internal processes and systems. Participate in architecture reviews and recommend best-fit AWS AI/ML services for evolving business needs. Stay up to date with the latest advancements in AWS AI services, LLMs, and industry trends to inform technology strategy and innovation. Prepare documentation for ML pipelines, model performance reports, and system architecture. Qualifications we seek in you: Minimum Qualifications Proven hands-on experience with Amazon Bedrock, SageMaker, Lex, Connect, Lambda, and Redshift. Strong knowledge and application experience with Large Language Models (LLMs) and prompt engineering techniques. Experience building production-grade AI applications using AWS AI or other generative AI services. Solid programming experience in Python for ML development, data processing, and automation. Proficiency in designing and deploying conversational AI/chatbot solutions using Lex and Connect. Experience with Redshift for data warehousing and analytics integration with ML solutions. Good understanding of AWS architecture, scalability, availability, and security best practices. Familiarity with AWS development, deployment, and monitoring tools (CloudWatch, CodePipeline, etc.). Strong understanding of MLOps practices including model versioning, CI/CD pipelines, and model monitoring. Strong communication and interpersonal skills to collaborate with cross-functional teams and stakeholders. Ability to troubleshoot performance bottlenecks and optimize cloud resources for cost-effectiveness Preferred Qualifications: AWS Certification in Machine Learning, Solutions Architect, or AI Services. Experience with other AI tools (e.g., Anthropic Claude, OpenAI APIs, or Hugging Face). Knowledge of streaming architectures and services like Kafka or Kinesis. Familiarity with Databricks and its integration with AWS services. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Lead Consultant - AWS AI/ML Engineer Responsibilities Design, develop, and deploy scalable AI/ML solutions using AWS services such as Amazon Bedrock, SageMaker, Amazon Q, Amazon Lex, Amazon Connect, and Lambda. Implement and optimize large language model (LLM) applications using Amazon Bedrock, including prompt engineering, fine-tuning, and orchestration for specific business use cases. Build and maintain end-to-end machine learning pipelines using SageMaker for model training, tuning, deployment, and monitoring. Integrate conversational AI and virtual assistants using Amazon Lex and Amazon Connect, with seamless user experiences and real-time inference. Leverage AWS Lambda for event-driven execution of model inference, data preprocessing, and microservices. Design and maintain scalable and secure data pipelines and AI workflows, ensuring efficient data flow to and from Redshift and other AWS data stores. Implement data ingestion, transformation, and model inference for structured and unstructured data using Python and AWS SDKs. Collaborate with data engineers and scientists to support development and deployment of ML models on AWS. Monitor AI/ML applications in production, ensuring optimal performance, low latency, and cost efficiency across all AI/ML services. Ensure implementation of AWS security best practices, including IAM policies, data encryption, and compliance with industry standards. Drive the integration of Amazon Q for enterprise AI-based assistance and automation across internal processes and systems. Participate in architecture reviews and recommend best-fit AWS AI/ML services for evolving business needs. Stay up to date with the latest advancements in AWS AI services, LLMs, and industry trends to inform technology strategy and innovation. Prepare documentation for ML pipelines, model performance reports, and system architecture. Qualifications we seek in you: Minimum Qualifications Proven hands-on experience with Amazon Bedrock, SageMaker, Lex, Connect, Lambda, and Redshift. Strong knowledge and application experience with Large Language Models (LLMs) and prompt engineering techniques. Experience building production-grade AI applications using AWS AI or other generative AI services. Solid programming experience in Python for ML development, data processing, and automation. Proficiency in designing and deploying conversational AI/chatbot solutions using Lex and Connect. Experience with Redshift for data warehousing and analytics integration with ML solutions. Good understanding of AWS architecture, scalability, availability, and security best practices. Familiarity with AWS development, deployment, and monitoring tools (CloudWatch, CodePipeline , etc.). Strong understanding of MLOps practices including model versioning, CI/CD pipelines, and model monitoring. Strong communication and interpersonal skills to collaborate with cross-functional teams and stakeholders. Ability to troubleshoot performance bottlenecks and optimize cloud resources for cost-effectiveness Preferred Qualifications: AWS Certification in Machine Learning, Solutions Architect, or AI Services. Experience with other AI tools (e.g., Anthropic Claude, OpenAI APIs, or Hugging Face). Knowledge of streaming architectures and services like Kafka or Kinesis. Familiarity with Databricks and its integration with AWS services. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Inviting applications for the role of Senior Principal Consultant - ML Engineers! In this role, lead the automation and orchestration of our machine learning infrastructure and CI/CD pipelines on public cloud (preferably AWS). This role is essential for enabling scalable, secure, and reproducible deployments of both classical AI/ML models and Generative AI solutions in production environments. Responsibilities . Develop and maintain CI/CD pipelines for AI/GenAI models on AWS using GitHub Actions and CodePipeline. (Not Limited to) . Automate infrastructure provisioning using IAC. (Terraform, Bicep Etc) . Any cloud platform- Azure or AWS . Package and deploy AI/GenAI models on (SageMaker, Lambda, API Gateway). . Write Python scripts for automation, deployment, and monitoring. . Engaging in the design, development and maintenance of data pipelines for various AI use cases . Active contribution to key deliverables as part of an agile development team . Set up model monitoring, logging, and alerting (e.g., drift, latency, failures). . Ensure model governance, versioning, and traceability across environments. . Collaborating with others to source, analyse, test and deploy data processes . Experience in GenAI project Qualifications we seek in you! Minimum Qualifications experience with MLOps practices. . Degree/qualification in Computer Science or a related field, or equivalent work experience . Experience developing, testing, and deploying data pipelines Strong Python programming skills. Hands-on experience in deploying 2 - 3 AI/GenAI models in AWS. Familiarity with LLM APIs (e.g., OpenAI, Bedrock) and vector databases. . Clear and effective communication skills to interact with team members, stakeholders and end users Preferred Qualifications/ Skills . Experience with Docker-based deployments. . Exposure to model monitoring tools (Evidently, CloudWatch). . Familiarity with RAG stacks or fine-tuning LLMs. . Understanding of GitOps practices. . Knowledge of governance and compliance policies, standards, and procedures . . . . .

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Principal Consultant -AWS AI/ML Engineer Responsibilities Design, develop, and deploy scalable AI/ML solutions using AWS services such as Amazon Bedrock, SageMaker, Amazon Q, Amazon Lex, Amazon Connect, and Lambda. Implement and optimize large language model (LLM) applications using Amazon Bedrock, including prompt engineering, fine-tuning, and orchestration for specific business use cases. Build and maintain end-to-end machine learning pipelines using SageMaker for model training, tuning, deployment, and monitoring. Integrate conversational AI and virtual assistants using Amazon Lex and Amazon Connect, with seamless user experiences and real-time inference. Leverage AWS Lambda for event-driven execution of model inference, data preprocessing, and microservices. Design and maintain scalable and secure data pipelines and AI workflows, ensuring efficient data flow to and from Redshift and other AWS data stores. Implement data ingestion, transformation, and model inference for structured and unstructured data using Python and AWS SDKs. Collaborate with data engineers and scientists to support development and deployment of ML models on AWS. Monitor AI/ML applications in production, ensuring optimal performance, low latency, and cost efficiency across all AI/ML services. Ensure implementation of AWS security best practices, including IAM policies, data encryption, and compliance with industry standards. Drive the integration of Amazon Q for enterprise AI-based assistance and automation across internal processes and systems. Participate in architecture reviews and recommend best-fit AWS AI/ML services for evolving business needs. Stay up to date with the latest advancements in AWS AI services, LLMs, and industry trends to inform technology strategy and innovation. Prepare documentation for ML pipelines, model performance reports, and system architecture. Qualifications we seek in you: Minimum Qualifications Proven hands-on experience with Amazon Bedrock, SageMaker, Lex, Connect, Lambda, and Redshift. Strong knowledge and application experience with Large Language Models (LLMs) and prompt engineering techniques. Experience building production-grade AI applications using AWS AI or other generative AI services. Solid programming experience in Python for ML development, data processing, and automation. Proficiency in designing and deploying conversational AI/chatbot solutions using Lex and Connect. Experience with Redshift for data warehousing and analytics integration with ML solutions. Good understanding of AWS architecture, scalability, availability, and security best practices. Familiarity with AWS development, deployment, and monitoring tools (CloudWatch, CodePipeline, etc.). Strong understanding of MLOps practices including model versioning, CI/CD pipelines, and model monitoring. Strong communication and interpersonal skills to collaborate with cross-functional teams and stakeholders. Ability to troubleshoot performance bottlenecks and optimize cloud resources for cost-effectiveness Preferred Qualifications: AWS Certification in Machine Learning, Solutions Architect, or AI Services. Experience with other AI tools (e.g., Anthropic Claude, OpenAI APIs, or Hugging Face). Knowledge of streaming architectures and services like Kafka or Kinesis. Familiarity with Databricks and its integration with AWS services. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Principal Consultant -AWS AI/ML Engineer Responsibilities Design, develop, and deploy scalable AI/ML solutions using AWS services such as Amazon Bedrock, SageMaker, Amazon Q, Amazon Lex, Amazon Connect, and Lambda. Implement and optimize large language model (LLM) applications using Amazon Bedrock, including prompt engineering, fine-tuning, and orchestration for specific business use cases. Build and maintain end-to-end machine learning pipelines using SageMaker for model training, tuning, deployment, and monitoring. Integrate conversational AI and virtual assistants using Amazon Lex and Amazon Connect, with seamless user experiences and real-time inference. Leverage AWS Lambda for event-driven execution of model inference, data preprocessing, and microservices. Design and maintain scalable and secure data pipelines and AI workflows, ensuring efficient data flow to and from Redshift and other AWS data stores. Implement data ingestion, transformation, and model inference for structured and unstructured data using Python and AWS SDKs. Collaborate with data engineers and scientists to support development and deployment of ML models on AWS. Monitor AI/ML applications in production, ensuring optimal performance, low latency, and cost efficiency across all AI/ML services. Ensure implementation of AWS security best practices, including IAM policies, data encryption, and compliance with industry standards. Drive the integration of Amazon Q for enterprise AI-based assistance and automation across internal processes and systems. Participate in architecture reviews and recommend best-fit AWS AI/ML services for evolving business needs. Stay up to date with the latest advancements in AWS AI services, LLMs, and industry trends to inform technology strategy and innovation. Prepare documentation for ML pipelines, model performance reports, and system architecture. Qualifications we seek in you: Minimum Qualifications Proven hands-on experience with Amazon Bedrock, SageMaker, Lex, Connect, Lambda, and Redshift. Strong knowledge and application experience with Large Language Models (LLMs) and prompt engineering techniques. Experience building production-grade AI applications using AWS AI or other generative AI services. Solid programming experience in Python for ML development, data processing, and automation. Proficiency in designing and deploying conversational AI/chatbot solutions using Lex and Connect. Experience with Redshift for data warehousing and analytics integration with ML solutions. Good understanding of AWS architecture, scalability, availability, and security best practices. Familiarity with AWS development, deployment, and monitoring tools (CloudWatch, CodePipeline , etc.). Strong understanding of MLOps practices including model versioning, CI/CD pipelines, and model monitoring. Strong communication and interpersonal skills to collaborate with cross-functional teams and stakeholders. Ability to troubleshoot performance bottlenecks and optimize cloud resources for cost-effectiveness Preferred Qualifications: AWS Certification in Machine Learning, Solutions Architect, or AI Services. Experience with other AI tools (e.g., Anthropic Claude, OpenAI APIs, or Hugging Face). Knowledge of streaming architectures and services like Kafka or Kinesis. Familiarity with Databricks and its integration with AWS services. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Job Description: Backend Developer Location: South Bengaluru, Karnataka, India Experience: 4 to 9 years Salary Range: 6 to 16 LPA Working Days: Monday to Friday (5-day work week) Work Mode: Work from Office only (No hybrid or remote option) About the Opportunity Join a product-driven tech team building a scalable, intelligent platform that simplifies high-value ownership journeys. This role is ideal for developers who want to work on cloud-native architectures, solve meaningful backend challenges, and drive real-world user impact. Youll be developing and optimizing backend systems using modern stacks and AWS services within a fast-paced, agile environment. Key Responsibilities - Design, develop, and deploy cloud-native applications on AWS using Lambda, AppSync, EventBridge, DynamoDB, and OpenSearch. - Build robust RESTful APIs and ensure smooth integration with internal and external systems. - Migrate and modernize existing full-stack applications to a cloud-native setup. - Develop full-stack solutions using TypeScript, JavaScript, Node.js, and Python. - Monitor and optimize database health using MongoDB and PostgreSQL. - Maintain CI/CD pipelines using AWS CodePipeline and related tools. - Ensure scalability, security, and performance of backend systems in a dynamic, fast-moving environment. Technical Skills Required - Strong experience with Python, FastAPI, Node.js, and TypeScript. - Proficiency with MongoDB, PostgreSQL, and familiarity with DynamoDB. - Solid knowledge of AWS services including Lambda and serverless architecture. - Good grasp of RESTful API design and cloud-native principles. - Exposure to front-end tech like Angular or JavaScript is a plus. - Experience working with CI/CD tools and Agile methodologies (Scrum). What You Bring - 26 years of experience in backend development, preferably in agile teams. - A strong problem-solving mindset and ability to take ownership. - Experience in modern, cloud-native tech stacks. - Collaborative attitude and clear communication skills. Why Join Us This is your chance to work on innovative, tech-first solutionsnot a conventional sector job. You'll contribute to building intelligent, scalable platforms with a direct user impact. - Work on deep-tech problems in asset discovery and digitization. - Build backend engines using latest cloud technologies. - Be part of a transparent, ethical, innovation-focused product company. Parent Ecosystem & Vision Youll be contributing to a fast-growing technology initiative backed by a mission-driven ecosystem focused on sustainability, rural development, and innovation. The broader group emphasizes responsible growth, digital transformation, and creating real-world impact through technology.

Job Description: Backend Developer Location: South Bengaluru, Karnataka, India Experience: 2 to 6 years Salary Range: 5 12 LPA Working Days: Monday to Friday (5-day work week) Work Mode: Work from Office only (No hybrid or remote option) About the Opportunity Join a product-driven tech team building a scalable, intelligent platform that simplifies high-value ownership journeys. This role is ideal for developers who want to work on cloud-native architectures, solve meaningful backend challenges, and drive real-world user impact. Youll be developing and optimizing backend systems using modern stacks and AWS services within a fast-paced, agile environment. Key Responsibilities - Design, develop, and deploy cloud-native applications on AWS using Lambda, AppSync, EventBridge, DynamoDB, and OpenSearch. - Build robust RESTful APIs and ensure smooth integration with internal and external systems. - Migrate and modernize existing full-stack applications to a cloud-native setup. - Develop full-stack solutions using TypeScript, JavaScript, Node.js, and Python. - Monitor and optimize database health using MongoDB and PostgreSQL. - Maintain CI/CD pipelines using AWS CodePipeline and related tools. - Ensure scalability, security, and performance of backend systems in a dynamic, fast-moving environment. Technical Skills Required - Strong experience with Python, FastAPI, Node.js, and TypeScript. - Proficiency with MongoDB, PostgreSQL, and familiarity with DynamoDB. - Solid knowledge of AWS services including Lambda and serverless architecture. - Good grasp of RESTful API design and cloud-native principles. - Exposure to front-end tech like Angular or JavaScript is a plus. - Experience working with CI/CD tools and Agile methodologies (Scrum). What You Bring - 26 years of experience in backend development, preferably in agile teams. - A strong problem-solving mindset and ability to take ownership. - Experience in modern, cloud-native tech stacks. - Collaborative attitude and clear communication skills. Why Join Us This is your chance to work on innovative, tech-first solutionsnot a conventional sector job. You'll contribute to building intelligent, scalable platforms with a direct user impact. - Work on deep-tech problems in asset discovery and digitization. - Build backend engines using latest cloud technologies. - Be part of a transparent, ethical, innovation-focused product company. Parent Ecosystem & Vision Youll be contributing to a fast-growing technology initiative backed by a mission-driven ecosystem focused on sustainability, rural development, and innovation. The broader group emphasizes responsible growth, digital transformation, and creating real-world impact through technology.

Work Timings: 2 PM to 11 PM Job Description AWS Services: Lambda, API Gateway, S3, DynamoDB, Step Functions, SQS, AppSync, CloudWatch Logs, X-Ray, EventBridge, Amazon Pinpoint, Cognito, KMS, API Gateway, App Sync Infrastructure as Code (IaC): AWS CDK, CodePipeline (planned) Serverless Architecture & Event-Driven Design Cloud Monitoring & Observability: CloudWatch Logs, X-Ray, Custom Metrics Security & Compliance: IAM roles boundaries, PHI/PII tagging, Cognito, KMS, HIPAA standards, Isolation Pattern, Access Control Cost Optimization: S3 lifecycle policies, serverless tiers, service selection (e.g., Pinpoint vs SES) Scalability & Resilience: Auto-scaling, DLQs, retry/backoff, circuit breakers CI/CD Pipeline Concepts Documentation & Workflow Design Cross-Functional Collaboration and AWS Best Practices Skills: x-ray,cloud monitoring,aws,ci/cd pipeline,documentation,security & compliance,cost optimization,aws services,infrastructure,infrastructure as code (iac),cross-functional collaboration,observability,serverless architecture,api,event-driven design,scalability,workflow design,aws best practices,resilience Location: Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Design and implement cloud-native data architectures on AWS, including data lakes, data warehouses, and streaming pipelines using services like S3, Glue, Redshift, Athena, EMR, Lake Formation, and Kinesis. Develop and orchestrate ETL/ELT pipelines Required Candidate profile Participate in pre-sales and consulting activities such as: Engaging with clients to gather requirements and propose AWS-based data engineering solutions. Supporting RFPs/RFIs, technical proposals

The ideal candidate will have a deep understanding of automation, configuration management, and infrastructure-as-code principles, with a strong focus on Ansible. You will work closely with developers, system administrators, and other collaborators to automate infrastructure related processes, improve deployment pipelines, and ensure consistent configurations across multiple environments. The Infrastructure Automation Engineer will be responsible for developing innovative self-service solutions for our global workforce and further enhancing our self-service automation built using Ansible. As part of a scaled Agile product delivery team, the Developer works closely with product feature owners, project collaborators, operational support teams, peer developers and testers to develop solutions to enhance self-service capabilities and solve business problems by identifying requirements, conducting feasibility analysis, proof of concepts and design sessions. The Developer serves as a subject matter expert on the design, integration and operability of solutions to support innovation initiatives with business partners and shared services technology teams. Please note, this is an onsite role based in Hyderabad. Key Responsibilities: Automating repetitive IT tasks - Collaborate with multi-functional teams to gather requirements and build automation solutions for infrastructure provisioning, configuration management, and software deployment. Configuration Management - Design, implement, and maintain code including Ansible playbooks, roles, and inventories for automating system configurations and deployments and ensuring consistency Ensure the scalability, reliability, and security of automated solutions. Troubleshoot and resolve issues related to automation scripts, infrastructure, and deployments. Perform infrastructure automation assessments, implementations, providing solutions to increase efficiency, repeatability, and consistency. DevOps Facilite continuous integration and deployment (CI/CD) Orchestration Coordinating multiple automated tasks across systems Develop and maintain clear, reusable, and version-controlled playbooks and scripts. Manage and optimize cloud infrastructure using Ansible and terraform automation (AWS, Azure, GCP, etc.). Continuously improve automation workflows and practices to enhance speed, quality, and reliability. Ensure that infrastructure automation adheres to best practices, security standards, and regulatory requirements. Document and maintain processes, configurations, and changes in the automation infrastructure. Participate in design review, client requirements sessions and development teams to deliver features and capabilities supporting automation initiatives Collaborate with product owners, collaborators, testers and other developers to understand, estimate, prioritize and implement solutions Design, code, debug, document, deploy and maintain solutions in a highly efficient and effective manner Participate in problem analysis, code review, and system design Remain current on new technology and apply innovation to improve functionality Collaborate closely with collaborators and team members to configure, improve and maintain current applications Work directly with users to resolve support issues within product team responsibilities Monitor health, performance and usage of developed solutions What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Bachelors degree and 0 to 3 years of computer science, IT, or related field experience OR Diploma and 4 to 7 years of computer science, IT, or related field experience Deep hands-on experience with Ansible including playbooks, roles, and modules Proven experience as an Ansible Engineer or in a similar automation role Scripting skills in Python, Bash, or other programming languages Proficiency expertise in Terraform & CloudFormation for AWS infrastructure automation Experience with other configuration management tools (e.g., Puppet, Chef). Experience with Linux administration, scripting (Python, Bash), and CI/CD tools (GitHub Actions, CodePipeline, etc.) Familiarity with monitoring tools (e.g., Dynatrace, Prometheus, Nagios) Working in an Agile (SAFe, Scrum, and Kanban) environment Preferred Qualifications: Red Hat Certified Specialist in Developing with Ansible Automation Platform Red Hat Certified Specialist in Managing Automation with Ansible Automation Platform Red Hat Certified System Administrator AWS Certified Solutions Architect Associate or Professional AWS Certified DevOps Engineer Professional Terraform Associate Certification Good-to-Have Skills: Experience with Kubernetes (EKS) and service mesh architectures. Knowledge of AWS Lambda and event-driven architectures. Familiarity with AWS CDK, Ansible, or Packer for cloud automation. Exposure to multi-cloud environments (Azure, GCP) Experience operating within a validated systems environment (FDA, European Agency for the Evaluation of Medicinal Products, Ministry of Health, etc.) Soft Skills: Strong analytical and problem-solving skills. Effective communication and collaboration with multi-functional teams. Ability to work in a fast-paced, cloud-first environment. Shift Information: This position is an onsite role and may require working during later hours to align with business hours. Candidates must be willing and able to work outside of standard hours as required to meet business needs.

Job Description Lead the development team to deliver, on budget, high value complex projects. Guide the technical direction of a team, project or product area. Take technical responsibility for all stages or iterations in a software development project, providing method specific technical advice to project stakeholders. Specify and ensure the design of technology solutions fulfills all our requirements, achieve desired goals and fulfill return on investment goals. Lead the development team to ensure disciplines are followed, project schedules and issues are managed, and project stakeholders receive regular communications. Establish a successful team culture, helping team members grow their skillsets and careers. You will be reporting to a Director You will WFO 2 days a week(Hybrid mode) as Hyderabad being the workplace Qualifications 10+ years of working experience in a software development environment of which the last 5 years being in a team leader position. Experience with cloud development on the Amazon Web Services (AWS) platform with services including Lambda, EC2, S3, Glue, Kubernetes, Fargate, AWS Batch and Aurora DB. Comprehend and implement detailed project specifications and to multiple technologies and simultaneously work on multiple projects. Proficiency in Java full stack development, including Springboot Framework, Kafka. Experience with Continuous Integration/Continuous Delivery (CI/CD) practices (CodeCommit, CodeDeploy, CodePipeline/Harness/Jenkins/GitHub Actions, CLI, BitBucket/Git, etc.). Ability to mentor and motivate team members. Additional Information Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's strong people first approach is award winning Great Place To Work in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Benefits Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off. Experian Careers - Creating a better tomorrow together

Job roles and responsibilities : The AWS DevOps Engineer is responsible for automating, optimizing, and managing CI/CD pipelines, cloud infrastructure, and deployment processes on AWS. This role ensures smooth software delivery while maintaining high availability, security, and scalability. Design and implement scalable and secure cloud infrastructure on AWS, utilizing services such as EC2,EKS, ECS, S3, RDS, and VPC Automate the provisioning and management of AWS resources using Infrastructure as Code tools: (Terraform/ Cloud Formation / Ansible ) and YAML Implement and maintain continuous integration and continuous deployment (CI/CD) pipelines using tools like Jenkins, GitLab, or AWS CodePipeline Advocate for a No-Ops model, striving for console-less experiences and self-healing systems Experience with containerization technologies: Docker and Kubernetes Mandatory Skills: Overall experience is 5 - 8 Years on AWS Devops Speicalization (AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy, AWS CodeCommit) Work experience on AWS Devops, IAM Work expertise on coding tools - Terraform or Ansible or Cloud Formation , YAML Good on deployment work - CI/CD pipelining Manage containerized workloads using Docker, Kubernetes (EKS), or AWS ECS , Helm Chart Has experience of database migration Proficiency in scripting languages (Python AND (Bash OR PowerShell)). Develop and maintain CI/CD pipelines using (AWS CodePipeline OR Jenkins OR GitHub Actions OR GitLab CI/CD) Experience with monitoring and logging tools (CloudWatch OR ELK Stack OR Prometheus OR Grafana) Career Level - IC4 Responsibilities Job roles and responsibilities : The AWS DevOps Engineer is responsible for automating, optimizing, and managing CI/CD pipelines, cloud infrastructure, and deployment processes on AWS. This role ensures smooth software delivery while maintaining high availability, security, and scalability. Design and implement scalable and secure cloud infrastructure on AWS, utilizing services such as EC2,EKS, ECS, S3, RDS, and VPC Automate the provisioning and management of AWS resources using Infrastructure as Code tools: (Terraform/ Cloud Formation / Ansible ) and YAML Implement and maintain continuous integration and continuous deployment (CI/CD) pipelines using tools like Jenkins, GitLab, or AWS CodePipeline Advocate for a No-Ops model, striving for console-less experiences and self-healing systems Experience with containerization technologies: Docker and Kubernetes Mandatory Skills: Overall experience is 5 - 8 Years on AWS Devops Speicalization (AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy, AWS CodeCommit) Work experience on AWS Devops, IAM Work expertise on coding tools - Terraform or Ansible or Cloud Formation , YAML Good on deployment work - CI/CD pipelining Manage containerized workloads using Docker, Kubernetes (EKS), or AWS ECS , Helm Chart Has experience of database migration Proficiency in scripting languages (Python AND (Bash OR PowerShell)). Develop and maintain CI/CD pipelines using (AWS CodePipeline OR Jenkins OR GitHub Actions OR GitLab CI/CD) Experience with monitoring and logging tools (CloudWatch OR ELK Stack OR Prometheus OR Grafana)