Senior Engineering Leader – DevSecOps, Platform Transformation & AI Systems

Apexon; Toronto; On-site; CAD 120,000 - 150,000; Full time

Job summary

Apexon is seeking a Senior Engineering Leader in Toronto, Canada, with over 10 years of production software engineering experience. This hands-on role focuses on enterprise-scale engineering transformation, automation, and platform modernization. The ideal candidate will have expertise in DevSecOps, SDLC automation, and strong stakeholder management skills. Responsibilities include leading engineering transformations, automating SDLC processes, and designing DevSecOps pipelines. A Bachelor's or Master's degree in Computer Science or equivalent experience is required.

Qualifications

• 10+ years of production software engineering experience.
• Deep expertise in SDLC automation and DevSecOps.
• Experience with MCP servers or enterprise AI platform engineering.

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.

Skills

Production software engineering experience

DevSecOps

SDLC automation

Stakeholder management

System design and architectural thinking

Automation of testing and deployment workflows

Education

Bachelor’s or Master’s degree in Computer Science

Equivalent real-world experience

Tools

Harness platform

Enterprise AI platforms

Job description

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