Senior Engineering Leader – DevSecOps, Platform Transformation & AI Systems

We are looking for a senior engineering leader with 10+ years of production software engineering experience to work directly with senior stakeholders at a large financial institution. This is a hands‑on engineering role focused on enterprise‑scale engineering transformation, automation, and platform modernization.

The ideal candidate comes from a strong software engineering background with experience in production systems, DevSecOps, SDLC automation, and agentic enterprise systems , along with strong communication and stakeholder management skills.

Key Responsibilities Lead enterprise engineering transformation in a regulated banking environment

Automate end‑to‑end Software Development Lifecycle (SDLC) processes

Design and implement DevSecOps pipelines and automation frameworks

Improve engineering productivity through automation of:

Testing and deployment workflows

Release and governance processes

Design and implement context‑aware systems (Context Engineering) for enterprise use cases

Build and support enterprise AI / agent‑based systems (beyond chatbots)

Work on Agentic RAG systems in production environments

Configure and implement the Harness platform for CI/CD, deployment governance, and release automation

Collaborate with enterprise architecture and governance teams

Engage directly with senior business and technology stakeholders

Must Haves 10+ years of production software engineering experience

Deep expertise in SDLC automation and DevSecOps

Experience automating CI/CD, testing, deployment, and release pipelines

Experience with MCP servers or enterprise AI platform engineering

Experience automating governance processes (ARB or similar)

Strong understanding of context engineering in enterprise systems

Experience with agentic systems / Agentic RAG in production (not chatbot PoCs)

Strong system design and architectural thinking

Excellent communication skills with the ability to work with senior stakeholders

Nice to Haves Experience in banking, payments, or capital markets

Exposure to enterprise knowledge graphs or context systems

Hands‑on experience with any harness platform (agentic CI/CD + release governance)

Consulting or client‑facing delivery experience in regulated environments

Contributions to open‑source AI/LLM/agent frameworks or engineering tools

Experience leading large‑scale engineering transformation programs

Education Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Or equivalent real‑world experience in large‑scale production engineering environments

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