Lead Devops Engineer

Job Description

Responsibilities:

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• Lead the architecture, design, development, and deployment of DevOps workflows to support cloud-native applications and enterprise-grade infrastructure.

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• Automate development and operational workflows using tools like Terraform, GitLab/GitHub, Jenkins, SonarQube, Fortify, etc.

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• Collaborate with team leadership and cross-functional technologists to design and implement enterprise DevOps solutions that align with technical priorities.

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• Champion the adoption of robust cloud architecture, DevOps best practices, and emerging cloud technologies.

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• Break down complex technical problems into effective, elegant solutions to drive client success.

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• Provide guidance, mentorship, and technical leadership to development teams, fostering cloud competencies and a culture of continuous improvement.

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• Drive teams to deliver outcomes by prioritizing work, managing dependencies, and ensuring stakeholder alignment throughout the process.

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• Effectively bring client stakeholders along in the journey, ensuring they are informed, engaged, and supportive of the technical direction.

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• Communicate complex technical concepts to both technical and non-technical stakeholders, ensuring clarity and alignment.

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• Define, document, and drive best practices for application deployment, infrastructure maintenance, and cloud service management.

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• Lead the evaluation and implementation of new cloud tools and technologies.

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Required Skills and Experience:

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12+ years of experience in cloud infrastructure, automation, and DevOps engineering, with at least 5+ years in a leadership or senior engineering role.

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• Expertise with infrastructure-as-code tooling, particularly Terraform, to build scalable and reliable cloud infrastructure.

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• Extensive experience architecting, designing, and deploying cloud-native applications, with a strong focus on Amazon Web Services (AWS).

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• In-depth knowledge of AWS cloud services and a deep understanding of container technologies like Docker (Kubernetes experience is a plus).

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• Hands-on experience with CI/CD pipelines, including GitHub Actions, Jenkins, or other CI/CD tools.

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• Proven track record of collaborating with cross-functional teams on architecture, features, and complex problem-solving.

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• Excellent communication skills, with the ability to articulate technical concepts to non-technical audiences and interact effectively with clients and diverse technical teams.

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• Strong grasp of software design patterns, development methodologies, and agile practices.

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• Bachelor’s degree in Computer Science or equivalent practical experience.

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Desired Skills:

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Experience with CloudFormation, CDK, Helm, and other infrastructure automation tools.

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• Familiarity with migrating legacy applications to the cloud and modernizing existing systems.

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• Deep understanding of cloud security concepts and tools, including AWS IAM, HashiCorp Vault, CyberArk, etc.

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• Experience with cloud data services like AWS Aurora, DynamoDB, and other database technologies.

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• Proficiency in at least one programming language (Java, JavaScript, Python, Go; Python preferred).

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• Expertise with Serverless Architectures and AWS Lambda.

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• Hands-on exposure to AI infrastructure tooling such as AWS Bedrock, LLM gateways, token cost management, and AWS AgentCore.

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• Familiarity with AI agent frameworks such as LangChain.

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• Experience using AI coding assistants such as Claude Code, Codex, or Cursor.

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• Awareness of emerging concepts like context engineering and AI-driven SDLC."

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