DevOps Engineer

As a DevOps Engineer, you are critical to the project's overall success, right from planning to supporting primary KPIs such as customer satisfaction and productivity. You have an essential role in integrating project functions and resources across the product life cycle—from planning, building, testing, and deployment to support.

Responsibilities:

• Build and maintain cloud infrastructure environments on AWS, ensuring availability, performance, security, and scalability of production systems.
• Design repeatable, automated, and scalable processes to increase efficiency and improve software quality, managing Infrastructure as Code (IaC) and working on internal tooling that simplifies workflows.
• Collaborate with application teams to apply DevOps practices in the development lifecycle.
• Automate and streamline operations and processes, including CI/CD pipelines, logging, and monitoring stacks.
• Create solution prototypes and conduct proof of concepts for new tools.
• Troubleshoot and diagnose issues/outages and provide operational support, engaging in incident handling with a culture of post-mortem and knowledge sharing.
• Use AI tools (Cursor, Copilot, ChatGPT, Claude, and Claude Code) to accelerate infrastructure tasks, generating boilerplate IaC (Terraform modules, Helm charts, Dockerfiles, and CI pipelines), interpreting logs, and debugging failures 2x-3x faster than manual authoring.

Requirements:

• 2-4 years of hands-on experience in DevOps, currently practicing DevOps methodology.
• Proven experience with cloud infrastructure, preferably AWS.
• Working knowledge of containerization (Docker, Kubernetes) and orchestration technologies.
• Hands-on experience with any configuration management tool like Puppet, Chef, or Ansible.
• Ability to do scripting in any one of Shell, Ruby, Perl, Python, or Go.
• Troubleshooting and system engineering exposure in Linux production environments.
• Should be well versed in IaC, especially Terraform.
• Should be well versed with networking at AWS.
• Knowledge of CI/CD, logging, and monitoring stack.
• Comfortable working in a fast-paced environment while continuously evaluating emerging technologies.
• Strong communication and analytical/problem-solving skills.
• AI Competency: Prompt Engineering and Ambiguity: Ability to prompt AI to generate IaC (Terraform, Helm charts) from well-defined specifications and iteratively re-prompt to fix syntax errors in YAML, HCL, or Dockerfiles.
• AI Competency: Infra Code Quality (Human-in-the-Loop): Does not blindly apply AI-generated output; reviews generated IaC to ensure it matches intended topology. Uses AI to generate basic validation (terraform validate, helm lint, shellcheck).
• AI Competency: Velocity and Execution: Completes standard infra tasks (CI pipeline, K8s deployment manifest, monitoring setup) significantly faster than manual authoring. Zero-friction switching between AI chat, IDE, terminal, and cloud console. Uses AI to interpret pod crash logs, terraform plan errors, and pipeline failures.
• AI Competency: Operational Awareness: Ensures AI-generated configs include health checks, resource requests/limits, and restart policies. Delivers working infracode with error handling and basic documentation.

Skills

AWS, Docker, Kubernetes, Terraform