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)
- Solid 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