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 setting 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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📌 Senior Engineering Leader – DevSecOps, Platform Transformation & AI Systems (Toronto)
🏢 Apexon
📍 Toronto