Design, build, and maintain scalable cloud-based CI/CD pipelines and DevOps automation across AWS and Azure. Implement infrastructure as code, deployment strategies, containerization, orchestration, monitoring, logging, security controls, and artifact management. Troubleshoot and tune build, deployment, and production environments while supporting cloud provisioning, migration, and project lifecycle activities. Desired capabilities include SRE practices, incident management, service mesh, observability, GitOps, and serverless automation.
This is a remote position.
Position Requirements:
Must Have:
- Experience in designing, building and maintaining highly scalable, distributed, cloud-based CI/CD pipelines and automation solutions
- Strong expertise in the end-to-end implementation of DevOps solutions including build automation, release management and deployment pipelines in AWS /Azure
- Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, Ansible and configuration management using
Python / Java Basics
- Experience in translating complex functional and technical requirements into detailed CI/CD pipeline and infrastructure design
- Should be aware of implementing deployment strategies such as blue-green, canary and rolling deployments
- Should have experience with cloud security, IAM roles, secrets management and access controls design
- Deep understanding of containerization and orchestration using Docker and Kubernetes
- Proficient in monitoring and logging tools such as Prometheus, Grafana, ELK Stack or Splunk
- Strong AWS hands-on expertise with a scripting background preferably Python/Bash/Shell
- Good knowledge of build automation tools - Experience in Maven, Gradle or npm is mandatory
- Strong experience in AWS/Azure compute services like EC2, ECS and EKS and storage services like S3, EBS & EFS
- Good experience with any one of the artifact/package repositories like Nexus, Artifactory or Amazon ECR
- Troubleshooting and Performance tuning experience across build, deployment and production environments
- Experience in one of the workflow/orchestration tools like Airflow or similar
- Good knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or GitLab with rich experience in source code management like AWS CodePipeline, CodeBuild and CodeCommit
- Experience with AWS CloudWatch, AWS Cloud Trail, AWS Account Config, AWS Config Rules
- Strong understanding of cloud infrastructure provisioning, migration processes and project lifecycle
- Good analytical & problem-solving skills
- Good communication and presentation skills
Desired Knowledge / Skills:
- Experience in implementing Site Reliability Engineering (SRE) practices and incident management
- Experience with service mesh and observability tools, such as Istio, Datadog, or New Relic
- Knowledge in Python
- Worked in Offshore / Onsite Engagements
- Experience with GitOps tools such as ArgoCD or FluxCD
- Experience in AWS services like Step Functions & Lambda for automation
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