3 Code Build Jobs

*****GenAI DevOps Engineer AWS Bedrock***** *****Pune Hinjewadi***** *****Immediate Joiners Preferred***** *****Minimum 4 Days WFO***** Job Description: We are seeking a highly experienced GenAI DevOps Engineer to join our dynamic team in Pune. The ideal candidate will have a strong background in building, deploying, and optimizing Generative AI applications on AWS Bedrock, along with expertise in DevOps practices. You will be responsible for automating infrastructure, managing CI/CD pipelines, and ensuring high performance and reliability of AI models. Key Responsibilities: Design, develop, and deploy Generative AI applications leveraging AWS Bedrock and SageMaker. Automate infrastructure provisioning and deployment processes. Build and maintain robust CI/CD pipelines using CodePipeline and CodeBuild. Monitor application and model performance using CloudWatch, Prometheus, and Grafana. Optimize AI models for performance, scalability, and cost-efficiency. Work with RAG (Retrieval-Augmented Generation) tools such as LangChain, Haystack, and LlamaIndex for building advanced AI solutions. Collaborate with data scientists and developers to streamline model deployment and monitoring. Required Skills: Extensive hands-on experience with AWS Bedrock and SageMaker. Strong expertise in CI/CD tools: CodePipeline, CodeBuild. Proficiency with monitoring tools: CloudWatch, Prometheus, Grafana. Experience with RAG frameworks like LangChain, Haystack, and LlamaIndex. Solid understanding of DevOps best practices and automation. Ability to troubleshoot and optimize AI deployment pipelines. Excellent problem-solving and communication skills. Preferred Skills: Knowledge of containerization (Docker, Kubernetes). Familiarity with scripting languages (Python, Bash). Experience with cloud security best practices. Understanding of machine learning lifecycle management. Mandatory Skills: AWS Bedrock and SageMaker expertise. CI/CD pipeline automation. Monitoring and performance optimization. RAG-based application development.

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Principal Consultant , Lead Cloud Engineer ! In this role, you will be responsible for rebuilding a new infrastructure using state-of-the-art technologies in a fast-paced and dynamic environment. Our technical environment means that engineers are involved in making sound architectural decisions quickly and seeing the impact of their work across the business. You will be responsible for building and maintaining the cloud infrastructure that enables Click&rsquos digital therapeutics offerings. Responsibilities Design, develop, test, deploy, maintain , and document of Cloud System (AWS) Architect and implement cloud solutions that meet business needs. Evaluate and identify optimal cloud solutions for various projects. Manage cloud deployment, migration, and monitoring processes. Discover, refine, and communicate requirements with engineers and stakeholders. Improve overall product quality and usability iteratively. Mentor new and junior engineers. Collaborate with cross-functional teams to ensure seamless integration of services. Qualifications we seek in you! Minimum Q ualifications / Skills Experience building, maintaining and optimizing cloud systems (AWS). Experience evaluating and identifying optimal cloud solutions. Experience architecting cloud solutions, modifying and improving existing systems. Cloud deployment, migration and monitoring. Experience programming in Typescript, Python, C/ C++, Java Experience leading production quality software projects. Demonstrates thoughtful consideration of engineering trade-offs to meet business timelines. Kubernetes operational experience (e.g., AWS EKS Fargate ). Experience AWS Service like EC2, S3, on Application Load Balancer, RDS/PostgreSQL, DynamoDB, Code Pipeline/Code Build, IAM, and CloudFormatio n. Preferred Q ualifications / Skills Certified AWS Certification DevOps experience. Familiarity with distributed system algorithms such as leader selection and consensus. Experience with gRPC and envoy-based service mesh. 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. For more information, visit . Follow us on Twitter, Facebook, LinkedIn, and YouTube. 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 Title: AWS DevOps Engineer (Mid-Level) Location: Hybrid Role Overview As an AWS DevOps Engineer, youll own the end-to-end infrastructure lifecyclefrom design and provisioning through deployment, monitoring, and optimization. Youll collaborate closely with development teams to implement Infrastructure as Code, build robust CI/CD pipelines, enforce security and compliance guardrails, and integrate next-gen tools like Google Gemini for automated code-quality and security checks. Key Responsibilities Infrastructure as Code (IaC): Design, build, and maintain Terraform (or CloudFormation) modules for VPCs, ECS/EKS clusters, RDS, ElastiCache, S3, IAM, KMS, and networking across multiple Availability Zones. Produce clear architecture diagrams (Mermaid or draw.io) and documentation. CI/CD Pipeline Development: Implement GitHub Actions or AWS CodePipeline/CodeBuild workflows to run linting, unit tests, Terraform validation, Docker builds, and automated deployments (zero-downtime rolling updates) to ECS/EKS. Integrate unit tests (Jest, pytest) and configuration-driven services (SSM Parameter Store). Monitoring & Alerting: Define custom CloudWatch metrics (latency, error rates), create dashboards, and centralize application logs in CloudWatch Logs with structured outputs and PII filtration. Implement CloudWatch Alarms with SNS notifications for key thresholds (CPU, replica lag, 5xx errors). Security & Compliance: Enable and configure GuardDuty and AWS Config rules (e.g., public-CIDR security groups, unencrypted S3 or RDS). Enforce least-privilege IAM policies, key-management with KMS, and secure secret storage in SSM Parameter Store. Innovative Tooling Integration: Integrate Google Gemini (or similar) into the CI pipeline for automated Terraform security scans and generation of actionable security reports as PR comments. Documentation & Collaboration: Maintain clear README files, module documentation, and step-by-step deployment guides. Participate in code reviews, design discussions, and post-mortems to continuously improve our DevOps practices. Required Qualifications Experience: 3+ years in AWS DevOps or Site Reliability Engineering roles, designing and operating production-grade cloud infrastructure. Technical Skills: Terraform (preferred) or CloudFormation for IaC. Container orchestration: ECS/Fargate or EKS with zero-downtime deployments. CI/CD: GitHub Actions, AWS CodePipeline, and CodeBuild (linting, testing, Docker, Terraform). Monitoring: CloudWatch Dashboards, custom metrics, log centralization, and alarm configurations. Security & Compliance: IAM policy design, KMS, GuardDuty, AWS Config, SSM Parameter Store. Scripting: Python, Bash, or Node.js for automation and Lambda functions. Soft Skills: Strong problem-solving mindset and attention to detail. Excellent written and verbal communication for documentation and cross-team collaboration. Ability to own projects end-to-end and deliver under tight timelines. Preferred Qualifications Hands-on experience integrating third-party security or code-analysis APIs (e.g., Google Gemini, Prisma Cloud). Familiarity with monitoring and observability best practices, including custom metric creation. Exposure to multi-cloud environments or hybrid cloud architectures. Certification: AWS Certified DevOps Engineer Professional or AWS Certified Solutions Architect Associate.