Job Description
Lead DevOps Engineer
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Role Overview
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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.
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Responsibilities
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- 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.
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Required Qualifications
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- 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.
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Preferred Qualifications
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- 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.
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