Senior Devops Engineer

1. CI/CD & Release Automation

• Design, implement, and maintain CI/CD pipelines for AWS-based microservices and supporting components.
• Automate the complete software delivery lifecycle build, unit testing, code quality, security scanning, packaging, deployment, validation, and rollback.
• Develop reusable pipeline templates and deployment patterns that can be adopted across multiple engineering teams.
• Implement automated promotion across environments such as Dev, SIT, QA, and Production.
• Support blue/green, rolling, and canary deployment strategies where applicable.
• Automate release approvals, deployment controls, and rollback mechanisms.

2. AWS & Cloud-Native Deployment

• Build deployment automation for Amazon EKS-based microservices, including container image management and Kubernetes deployments.
• Support CI/CD automation for AWS Lambda and AWS Batch workloads.
• Implement deployment and configuration automation for applications leveraging:
• DynamoDB
• RDS
• S3
• MSK/Kafka
• SQS/SNS
• EventBridge
• OpenSearch
• Amazon Bedrock
• Manage environment-specific configurations and infrastructure dependencies across AWS environments.

3. Infrastructure as Code & Automation

• Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform, AWS CloudFormation, or CDK.
• Automate provisioning and configuration of AWS infrastructure required by microservices.
• Build reusable infrastructure modules and deployment patterns.
• Ensure infrastructure changes are version-controlled, peer-reviewed, and automated through CI/CD.

4. Security & DevSecOps

• Integrate security controls into CI/CD pipelines, including dependency, container, code, and configuration scanning.
• Implement secure integration with IAM and AWS Secrets Manager.
• Ensure secrets, credentials, and sensitive configuration are not exposed in source code or pipelines.
• Implement appropriate access controls and least-privilege practices for deployment pipelines and AWS resources.
• Support security and compliance requirements across application and infrastructure deployments.

5. Observability & Operational Readiness

• Integrate CloudWatch and OpenSearch into deployment and operational workflows.
• Implement automated health checks and post-deployment validation.
• Support monitoring, logging, alerting, and troubleshooting of distributed microservices.
• Establish deployment metrics such as deployment frequency, lead time, change failure rate, and recovery time.
• Improve release reliability through automated validation and early detection of deployment issues.

6. AI/GenAI Workloads

• Support CI/CD and deployment automation for applications leveraging Amazon Bedrock and other AI-enabled microservices.
• Establish environment-specific configuration and secure access to AI/LLM services.
• Support automated testing, deployment, observability, and operational readiness for AI-enabled applications.

Required Skills

• 6–10 years of DevOps / Cloud Engineering experience.
• Strong hands-on experience with AWS cloud services and cloud-native application deployment.
• Strong experience designing and implementing CI/CD pipelines.
• Experience with Amazon EKS and Kubernetes.
• Experience with Docker/containerized applications.
• Strong experience with Infrastructure as Code, preferably Terraform.
• Experience with AWS Lambda and serverless deployments.
• Working knowledge of:
• DynamoDB
• RDS
• S3
• MSK/Kafka
• SQS/SNS
• EventBridge
• CloudWatch
• OpenSearch
• IAM
• Secrets Manager
• Strong scripting/programming skills using Python, Shell, or similar.
• Experience with Git-based source control and branching strategies.
• Experience implementing DevSecOps practices in CI/CD.
• Good understanding of networking concepts such as VPC, security groups, load balancers, DNS, and private/public connectivity.