Lead DevOps Engineer

Lead DevOps Engineer

Role Overview

We are seeking an experienced Lead DevOps Engineer to lead the design and implementation of cloud infrastructure, automation, and CI/CD solutions. This role will provide technical leadership across cloud-native initiatives, with a strong focus on AWS, Terraform, infrastructure automation, and modern DevOps practices. The ideal candidate is highly hands-on, experienced in leading engineering teams, and comfortable working directly with clients and cross-functional stakeholders.

Responsibilities

• Lead the architecture, development, and deployment of cloud infrastructure and DevOps solutions.
• Design and automate CI/CD pipelines, infrastructure provisioning, and operational workflows using Terraform, Jenkins, GitHub Actions, and related tools.
• Architect and optimize AWS cloud environments, containerized applications, and cloud-native solutions.
• Establish best practices for cloud security, infrastructure management, application deployment, and automation.
• Provide technical leadership and mentorship while driving engineering teams toward successful delivery.
• Collaborate with product, engineering, and client stakeholders to define technical solutions and resolve complex challenges.
• Evaluate and implement emerging cloud technologies, DevOps tools, and AI infrastructure solutions.

Required Qualifications

• 12+ years of experience in DevOps, cloud infrastructure, and automation, including 5+ years in a senior or technical leadership role.
• Strong hands-on expertise with AWS cloud services and cloud-native architecture.
• Advanced Terraform and Infrastructure-as-Code experience.
• Extensive experience with CI/CD tools such as GitHub Actions and Jenkins.
• Strong knowledge of Docker and container technologies; Kubernetes experience preferred.
• Understanding of cloud security, software architecture, and Agile development practices.
• Proficiency in at least one programming language, preferably Python, Java, Go, or JavaScript.
• Excellent communication and leadership skills, with the ability to work directly with clients and technical teams.
• Bachelor's degree in Computer Science or equivalent practical experience.

Preferred Qualifications

• Experience with AWS Lambda, serverless architecture, CloudFormation, CDK, and Helm.
• Knowledge of cloud security tools such as IAM, HashiCorp Vault, and CyberArk.
• Experience with AWS data services, including Aurora and DynamoDB.
• Exposure to AI infrastructure and tooling, including AWS Bedrock, AgentCore, LLM gateways, and AI agent frameworks.
• Familiarity with AI coding assistants such as Claude Code, Codex, or Cursor and AI-driven software development practices.