DevOps Engineer

Overview

We are seeking a DevOps Engineer with strong platform engineering experience to design and manage CI/CD pipelines using GitHub Actions and support application deployments across a multi-cloud environment (AWS, Azure, GCP).

This role is focused on deployment, automation, and infrastructure, not application or AI model development. Exposure to AI-enabled applications is a plus, but DevOps expertise is the primary requirement.

Key Responsibilities

DevOps & CI/CD (PRIMARY FOCUS)

• Design and implement GitHub Actions CI/CD pipelines
• Deploy applications across dev, UAT, and production environments
• Ensure repeatable, scalable, and reliable deployment processes
• Establish GitHub standards, governance, and best practices

Platform & Infrastructure Engineering

• Build and manage infrastructure using Terraform or similar IaC tools
• Support multi-cloud deployments (AWS, Azure, GCP)
• Configure and maintain containerized environments (Docker, Kubernetes)
• Ensure CI/CD runners/agents are properly configured and optimized

Automation & Reliability

• Automate build, test, and deployment workflows
• Improve deployment speed, consistency, and ease of use
• Implement monitoring, logging, and alerting for production systems

Security & DevSecOps

• Implement secure CI/CD practices within GitHub
• Manage secrets, access controls, and pipeline security
• Align with enterprise security standards

Nice to Have

• Exposure to deploying AI/ML-enabled applications
• Familiarity with tools such as GitHub Copilot, ClaudeCode, or Google AI tools
• Understanding of MLOps concepts (model deployment, lifecycle)

Required Qualifications

• 5+ years in DevOps / Platform Engineering
• Strong experience with GitHub Actions (NOT Azure DevOps)
• Experience with multi-cloud environments (AWS, Azure, GCP)
• Hands-on experience with Docker and Kubernetes
• Experience with Infrastructure as Code (Terraform preferred)
• Strong scripting (Python, Bash, or similar)