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.

1. 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 workplace-specific configurations and infrastructure dependencies across AWS environments.

1. 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.

1. 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.

1. 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.

1. 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.

📌 Senior Devops Engineer (Hyderabad)
🏢 Nisum
📍 Hyderabad