SENIOR DEVOPS ARCHITECT - AWS

Job description

**(Senior) Agentic DevXP Engineer** **Role Purpose** 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** **Description** **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 **Key Responsibilities** **CI/CD Modernization** - Migrate legacy Jenkins pipelines to GitHub Actions. - Build reusable workflows, templates, and standards to reduce fragmentation. - Improve visibility and observability across all delivery flows. **AI-Assisted Engineering** - Apply AI to accelerate migrations, code analysis, testing, and documentation. - Create safe, repeatable AI workflows backed by robust validation layers. **Agent-Ready Repositories** - Define and implement repository standards covering metadata, documentation, instructions, and templates. - Ensure AI tools have sufficient context to operate effectively without compromising security. **Agent Workflows & Guardrails** - Integrate AI into engineering workflows across GitHub, CI/CD, Jira, and related systems. - Define guardrails around access, validation, peer review, and security. - Focus on high-value, practical use cases that address immediate bottlenecks. **Platform Adoption** - Onboard engineering teams to standardised CI/CD and AI practices. - Provide golden paths, documentation, and starter templates. - Drive adoption through iterative feedback loops and user-centric solutions. **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 files). - 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.