SENIOR DEVOPS TECHNICAL LEAD - AWS

Job Summary

This role modernizes our software delivery platform and evolves Developer Experience (DevXP) toward an AI-enabled, agentic model. It blends CI/CD platform engineering with practical AI application focused on real engineering problems such as pipeline migration, automation, code understanding, and testing enablement. This is not an AI research role.

Core Mission

Enable faster, safer software delivery with minimal friction by building a standardized, AI-enabled developer platform.

Focus Area

• CI/CD Modernization Migrating Jenkins to GitHub Actions
• Scalability Developing reusable workflows and standards
• Contextual Readiness Building "agent-ready" repositories
• AI Integration Designing AI-assisted engineering workflows
• Governance Implementing quality gates and guardrails
• Empowerment Driving developer self-service and platform adoption

Responsibilities

• CI/CD Modernization Migrate legacy Jenkins pipelines to GitHub Actions.

Required Experience

• CI/CD Platform Engineering
  • Strong hands-on experience with GitHub Actions and Jenkins.
  • Proven track record building reusable workflows and developer tooling.
  • Proficiency in Python, Bash, TypeScript, or Go.
  • Experience with containers, Kubernetes, and cloud-native delivery practices.
  • Deep understanding of GitHub workflows including PRs, CODEOWNERS, and repository standards.
  • Ability to unify fragmented environments and drive enterprise-wide adoption.
• AI Agentic Practices
  • Hands-on experience with LLM-powered tooling such as GitHub Copilot or Claude.
  • Practical application of AI to code understanding, automated testing, and migration tasks.
  • Experience managing repository-level AI context (e.g., .github/instructions.md or prompt .
  • Solid grasp of AI risks including hallucinations, security vulnerabilities, and over-automation.
  • Experience designing safe, human-in-the-loop AI patterns with manual validation checkpoints.

Seniority Expectations

• End-to-End Ownership Own the platform modernization roadmap from conception through execution.
• Bias for Action Deliver tangible tooling and automation, not just high-level strategy.
• Pragmatism Turn emerging AI capabilities into practical, everyday engineering workflows.
• Strategic Influence Balance standardization requirements with real-world project constraints.
• Leadership by Example Influence teams through highly usable solutions and clear, concrete examples

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.