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 #J-18808-Ljbffr