DevOps Engineer

• Manage and maintain Amazon EKS clusters, including provisioning, upgrades, security, monitoring, and troubleshooting.
• Own production releases and application deployments while ensuring high availability and minimal downtime.
• Design, build, and maintain CI/CD pipelines for automated application deployment across multiple environments.
• Develop and manage Infrastructure as Code (IaC) using industry-standard tools.
• Build and enhance observability solutions using monitoring, logging, tracing, and alerting platforms.
• Automate infrastructure provisioning and operational workflows to improve efficiency and scalability.
• Implement proactive monitoring, alerting, and self-healing mechanisms for production systems.
• Participate in on-call rotations, troubleshoot production incidents, and conduct post-incident reviews.
• Collaborate with software engineering teams to resolve infrastructure and application issues.
• Continuously optimize cloud infrastructure for performance, reliability, security, and cost efficiency.

Required Skills

• 2–4 years of hands-on DevOps or Site Reliability Engineering experience.
• Strong Linux/Unix system administration and troubleshooting skills.
• Hands-on experience with cloud platforms, preferably AWS (experience with Azure or GCP is also acceptable).
• Strong expertise in Kubernetes and Docker, including deploying and managing containerized applications.
• Experience managing Amazon EKS clusters in production environments.
• Proficiency with Infrastructure as Code (Terraform, Helm, Kustomize, Ansible, or similar).
• Experience building and maintaining CI/CD pipelines using Jenkins, Bitbucket Pipelines, Argo CD, or similar tools.
• Strong knowledge of Git-based version control systems such as GitHub or Bitbucket.
• Hands-on experience with observability tools including Prometheus, Grafana, Loki, Tempo, Mimir, OpenTelemetry (OTEL), and alerting platforms.
• Experience with automation scripting using Bash and/or Python.
• Strong understanding of networking concepts including VPCs, DNS, Load Balancers, Ingress, TLS, and Kubernetes networking.
• Good understanding of cloud and Kubernetes security practices including IAM, RBAC, encryption, secrets management, and network policies.
• Excellent troubleshooting, analytical, and problem-solving skills.
• Strong communication and collaboration skills.
  • Experience using AI-powered developer tools such as ChatGPT, GitHub Copilot, Claude, or Cursor to improve engineering productivity.