Senior Devops Engineer

Senior Devops Engineer

Key Responsibilities:

· Design, deploy, and manage scalable cloud infrastructure on AWS using Terraform (Infrastructure as Code).

· Build and maintain Kubernetes clusters on AWS using EKS.

· Automate provisioning, configuration management, and application deployments.

· Monitor cloud infrastructure health and performance, and implement improvements as needed.

· Collaborate with DevOps, development, and security teams to build CI/CD pipelines and enforce best practices.

· Provide operational support and troubleshooting of cloud-native environments.

· Contribute to architecture and design decisions around cloud and container orchestration.

· Maintain documentation related to system configuration, standards, and best practices.

· Assist with occasional projects or deployments in Microsoft Azure environments.

· Build and maintain AI-assisted automation for infrastructure and pipeline tasks (e.g., AI-driven IaC generation, automated code/security review).

Requirements:

· 5+ years of professional experience in cloud engineering or DevOps roles.

· Proven expertise in AWS services including EC2, VPC, IAM, S3, CloudWatch, and especially EKS.

· Strong experience in Terraform for managing infrastructure as code.

· Familiarity with CI/CD pipelines, scripting (e.g., Bash, Python), and configuration management tools.

· Working knowledge of Azure cloud fundamentals and services.

· Experience with Docker, Kubernetes, and container orchestration.

· Solid understanding of networking, security best practices, and cost optimization in cloud environments.

· Excellent problem-solving skills and ability to work independently or in a team.

· Experience integrating AI/LLM tooling into DevOps workflows (e.g., MCP servers, AI-assisted pipelines).

Preferred Qualifications:

· Certifications such as AWS Certified Solutions Architect, Certified Kubernetes Administrator (CKA), or Microsoft Azure Fundamentals.

· Experience with monitoring/logging tools like Prometheus, Grafana, ELK stack, or Cloud-native alternatives.

· Exposure to GitOps tools (e.g., ArgoCD, Flux) is a plus.

· Familiarity with other IAC tools like CloudFormation

· Exposure to Model Context Protocol (MCP) or similar AI-tool integration frameworks.

· Experience building AI-powered automation for code review, IaC generation, or config management.