Senior DevOps Engineer

We are looking for an experienced Senior DevOps Engineer with 10+ years of hands-on experience in DevOps, cloud infrastructure, automation, CI/CD, Infrastructure as Code, and cloud-native technologies.

The ideal candidate should have strong expertise in AWS, Terraform, Kubernetes/EKS, Docker, GitLab CI/CD, ArgoCD, serverless technologies, and observability tools such as Datadog/Splunk. The candidate will be responsible for designing, implementing, securing, and supporting highly scalable and reliable cloud platforms and production deployment environments.

Key Responsibilities

• Design, build, and support cloud-native platforms, deployment pipelines, and automation frameworks in production.
• Develop and maintain CI/CD pipelines using GitLab CI/CD, Jenkins, or equivalent tools.
• Implement Infrastructure as Code using Terraform, including reusable modules, environment consistency, peer review, and controlled deployments.
• Design and manage AWS cloud environments across Production, Development, QA, and lower environments.
• Work extensively with AWS services such as:
  • Lambda
  • API Gateway
  • IAM
  • EventBridge
  • DynamoDB
  • CloudWatch
  • VPC/Networking
  • Security services
• Implement and support serverless applications and APIs, including authentication, integrations, security, and operational support.
• Manage containerized workloads using Docker and Kubernetes, preferably AWS EKS.
• Implement GitOps-based deployment practices using ArgoCD or similar tools.
• Design and improve observability solutions using Datadog, Splunk, CloudWatch, Prometheus, or similar tools.
• Build actionable monitoring and alerting strategies to reduce alert noise and improve incident response.
• Implement resiliency, fault tolerance, disaster recovery, backup, and rollback strategies for business-critical applications.
• Support safe production releases through automation, validation, canary/phased deployments, and controlled rollback mechanisms.
• Perform performance tuning, capacity planning, cost optimization, system analysis, and Root Cause Analysis (RCA).
• Integrate and support third-party/vendor APIs and managed AWS services.
• Apply cloud security best practices, IAM controls, privileged access management, and secure deployment practices.
• Use scripting and automation with Python, Bash, PowerShell, or similar technologies.
  • Explore and implement AI-driven solutions to improve automation, observability, operational efficiency, and incident management.