In one sentence
Design and implement a modern software development lifecycle and CI/CD operating model augmented with agentic AI. Partner with engineering teams to assess current practices, identify pain points, introduce spec-driven and context-engineered workflows, and deliver practical tooling and PoCs that can be adopted at scale.
What will your job look like?
Assess existing SDLC, CI/CD, and operational practices; identify gaps, bottlenecks, and improvement opportunities.
Evaluate current AI-for-engineering assets and developer enablement maturity (assistants, agents, templates, guardrails).
Select, pilot, and operationalize AI tools for developers, CI/CD automation, and post-delivery operations.
Build PoC/MVP agentic flows and tools; define adoption patterns and hand over mature solutions to delivery units.
Participate as a thought leader in architecture and SDLC forums; define standards, patterns, and governance where needed.
Mentor teams and uplift engineering capability in AI-driven development, delivery, and operational readiness.
Requirements: 12+ years of hands-on software development using modern languages and ecosystems.
4+ years in a senior technical leadership role (Tech Lead, Software Expert, or Software Architect).
Strong knowledge of modern software design principles (modularity, testing strategies, distributed systems, API design).
Deep understanding of modern CI/CD practices (build pipelines, automated testing, quality gates, release strategies).
Practical experience with AI code-assist tools and agentic SDLC workflows.
Experience with spec-driven development and context engineering practices.
This position is open to all candidates.