5 Aws Config Jobs

Were looking for a Cloud Architect / Lead to design, build, and manage scalable AWS infrastructure that powers our analytics and data product initiatives. This role focuses on automating infrastructure provisioning, application/API hosting, and enabling data and GenAI workloads through a modern, secure cloud environment. Key Responsibilities ? Design and provision AWS infrastructure using Terraform or AWS CloudFormation to support evolving data product needs. ? Develop and manage CI/CD pipelines using Jenkins, AWS CodePipeline, CodeBuild, or GitHub Actions. ? Deploy and host internal tools, APIs, and applications using ECS, EKS, Lambda, API Gateway, and ELB. ? Provision and support analytics and data platforms using S3, Glue, Redshift, Athena, Lake Formation, and orchestration tools like Step Functions or Apache Airflow (MWAA). ? Implement cloud security, networking, and compliance using IAM, VPC, KMS, CloudWatch, CloudTrail, and AWS Config. ? Collaborate with data engineers, ML engineers, and analytics teams to align infrastructure with application and data product requirements. ? Support GenAI infrastructure, including Amazon Bedrock, SageMaker, or integrations with APIs like OpenAI. Requirements ? 7-10 years of experience in cloud engineering, DevOps, or cloud architecture roles. ? Strong hands-on expertise with the AWS ecosystem and tools listed above. ? Proficiency in scripting (e.g., Python, Bash) and infrastructure automation. ? Experience deploying containerized workloads using Docker, ECS, EKS, or Fargate. ? Familiarity with data engineering and GenAI workflows is a plus. ? AWS certifications (e.g., Solutions Architect, DevOps Engineer) are preferred. Show more Show less

Role - Cloud Architect Analytics & Data Products Were looking for a Cloud Architect / Lead to design, build, and manage scalable AWS infrastructure that powers our analytics and data product initiatives. This role focuses on automating infrastructure provisioning , application/API hosting , and enabling data and GenAI workloads through a modern, secure cloud environment. Key Responsibilities Design and provision AWS infrastructure using Terraform or AWS CloudFormation to support evolving data product needs. Develop and manage CI/CD pipelines using Jenkins , AWS Code Pipeline , Code Build , or GitHub Actions . Deploy and host internal tools, APIs, and applications using ECS , EKS , Lambda , API Gateway , and ELB . Provision and support analytics and data platforms using S3 , Glue , Redshift , Athena , Lake Formation , and orchestration tools like Step Functions or Apache Airflow (MWAA) . Implement cloud security, networking, and compliance using IAM , VPC , KMS , CloudWatch , CloudTrail , and AWS Config . Collaborate with data engineers, ML engineers, and analytics teams to align infrastructure with application and data product requirements. Support GenAI infrastructure, including Amazon Bedrock , Sage Maker , or integrations with APIs like Open AI . Requirements 10-14 years of experience in cloud engineering, DevOps, or cloud architecture roles. Strong hands-on expertise with the AWS ecosystem and tools listed above. Proficiency in scripting (e.g., Python , Bash ) and infrastructure automation. Experience deploying containerized workloads using Docker , ECS , EKS , or Fargate . Familiarity with data engineering and GenAI workflows is a plus. AWS certifications (e.g., Solutions Architect , DevOps Engineer ) are preferred. Show more Show less

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. Summary DevOps Engineer with 3+ years of experience in AWS infrastructure, CI/CD, and IaC, capable of designing secure, production-grade systems with zero-downtime deployments. The ideal candidate excels in automation, observability, and compliance within a collaborative engineering environment. Top Preferred Technologies: Terraform – core IaC tool for modular infrastructure design Amazon ECS/EKS (Fargate) – container orchestration and deployment GitHub Actions / AWS CodePipeline + CodeBuild – modern CI/CD pipelines Amazon CloudWatch – observability, custom metrics, and centralized logging IAM, KMS & GuardDuty – for access control, encryption, and threat detection SSM Parameter Store – for secure config and secret management Python / Bash / Node.js – for scripting, automation, and Lambda integration 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. Wil have to attend Coimbatore office on request (Hybrid) 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.

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 L ead Consultant - C loud Engineer! In this role, you will be responsible for designing, provisioning, and securing scalable cloud infrastructure to support AI/ML and Generative AI workloads. A key focus will be ensuring high availability, cost efficiency, and performance optimization of infrastructure through best practices in architecture and automation. Responsibilities Design and implement secure VPC architecture, subnets, NAT gateways, and route tables. Build and maintain IAC modules for repeatable infrastructure provisioning. Build CI/CD pipelines that support secure, auto-scalable AI deployments using GitHub Actions, AWS CodePipeline , and Lambda triggers. Monitor and tune infrastructure health using AWS CloudWatch, GuardDuty , and custom alerting. Track and optimize cloud spend using AWS Cost Explorer, Trusted Advisor, and usage dashboards. Deploy and manage cloud-native services including SageMaker, Lambda, ECR, API Gateway etc. Implement IAM policies, Secrets Manager, and KMS encryption for secure deployments. Enable logging and monitoring using CloudWatch and configure alerts and dashboards. Set up and manage CloudTrail, GuardDuty , and AWS Config for audit and security compliance. Assist with cost optimization strategies including usage analysis and budget alerting. Support multi-cloud or hybrid integration patterns (e.g., data exchange between AWS and Azure/GCP). Collaborate with MLOps and Data Science teams to translate ML/ GenAI requirements into production-grade, resilient AWS environments. Maintain multi-cloud compatibility as needed (e.g., data egress readiness, common abstraction layers). Be engaging in the design, development and maintenance of data pipelines for various AI use cases Required to actively contribution to key deliverables as part of an agile development team Be collaborating with others to source, analyse, test and deploy data processes. Qualifications we seek in you! Minimum Qualifications AWS infrastructure experience in production environments. Degree/qualification in Computer Science or a related field, or equivalent work experience Proficiency in Terraform, AWS CLI, and Python or Bash scripting. Strong knowledge of IAM, VPC, ECS/EKS, Lambda, and serverless computing. Experience supporting AI/ML or GenAI pipelines in AWS (especially for compute and networking). Hands on experience to multiple AI / ML /RAG/LLM workloads and model deployment infrastructure. Exposure to multi-cloud architecture basics (e.g., SSO, networking, blob exchange, shared VPC setups). AWS Certified DevOps Engineer or Solutions Architect - Associate/Professional. Experience in developing, testing, and deploying data pipelines using public cloud. Clear and effective communication skills to interact with team members, stakeholders and end users Preferred Qualifications/ Skills Experience deploying infrastructure in both AWS and another major cloud provider (Azure or GCP). Familiarity with multi-cloud tools (e.g., HashiCorp Vault, Kubernetes with cross-cloud clusters). Strong understanding of DevSecOps best practices and compliance requirements. Exposure to RAG/LLM workloads and model deployment infrastructure. 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.

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 - Cloud Engineer! In this role, you will be responsible for designing, provisioning, and securing scalable cloud infrastructure to support AI/ML and Generative AI workloads. A key focus will be ensuring high availability, cost efficiency, and performance optimization of infrastructure through best practices in architecture and automation. Responsibilities Design and implement secure VPC architecture, subnets, NAT gateways, and route tables. Build and maintain IAC modules for repeatable infrastructure provisioning. Build CI/CD pipelines that support secure, auto-scalable AI deployments using GitHub Actions, AWS CodePipeline , and Lambda triggers. Monitor and tune infrastructure health using AWS CloudWatch, GuardDuty , and custom alerting. Track and optimize cloud spend using AWS Cost Explorer, Trusted Advisor, and usage dashboards. Deploy and manage cloud-native services including SageMaker, Lambda, ECR, API Gateway etc. Implement IAM policies, Secrets Manager, and KMS encryption for secure deployments. Enable logging and monitoring using CloudWatch and configure alerts and dashboards. Set up and manage CloudTrail, GuardDuty , and AWS Config for audit and security compliance. Assist with cost optimization strategies including usage analysis and budget alerting. Support multi-cloud or hybrid integration patterns (e.g., data exchange between AWS and Azure/GCP). Collaborate with MLOps and Data Science teams to translate ML/ GenAI requirements into production-grade, resilient AWS environments. Maintain multi-cloud compatibility as needed (e.g., data egress readiness, common abstraction layers). Be engaging in the design, development and maintenance of data pipelines for various AI use cases Required to actively contribution to key deliverables as part of an agile development team Be collaborating with others to source, analyse, test and deploy data processes. Qualifications we seek in you! Minimum Qualifications Good years of hands-on AWS infrastructure experience in production environments. Degree/qualification in Computer Science or a related field, or equivalent work experience Proficiency in Terraform, AWS CLI, and Python or Bash scripting. Strong knowledge of IAM, VPC, ECS/EKS, Lambda, and serverless computing. Experience supporting AI/ML or GenAI pipelines in AWS (especially for compute and networking). Hands on experience to multiple AI / ML /RAG/LLM workloads and model deployment infrastructure. Exposure to multi-cloud architecture basics (e.g., SSO, networking, blob exchange, shared VPC setups). AWS Certified DevOps Engineer or Solutions Architect - Associate/Professional. Experience in developing, testing, and deploying data pipelines using public cloud. Clear and effective communication skills to interact with team members, stakeholders and end users Preferred Qualifications/ Skills Experience deploying infrastructure in both AWS and another major cloud provider (Azure or GCP). Familiarity with multi-cloud tools (e.g., HashiCorp Vault, Kubernetes with cross-cloud clusters). Strong understanding of DevSecOps best practices and compliance requirements. Exposure to RAG/LLM workloads and model deployment infrastructure. 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.