Platform DevOps managing the Enterprise Data and AI Platform across AWS and Kubernetes. Implementing Infrastructure as Code with Terraform and maintaining CI/CD pipelines for secure solutions.
About the role
- Agent & DevOps Platform Engineer designing and operating AI-driven solutions for software delivery at Sun Life. Collaborating across teams to implement automated pipelines and CI/CD processes.
Responsibilities
- Design, build, and operate AI agents that automate tasks across the SDLC — testing, vulnerability remediation, deployment validation, release management, and more
- Engineer LLMOps infrastructure: prompt pipelines, tool-calling agents, orchestration, evaluation, observability, and reliability
- Integrate agents with enterprise systems: SCM platforms, CI/CD tools, ticketing, security scanners, and internal APIs
- Ensure AI solutions meet security, compliance, and governance requirements from the start — not as an afterthought
- Design, build, and maintain fully automated CI/CD pipelines across Java, Node.Js, Python and .NET ecosystems
- Own and evolve core DevOps tooling: Bitbucket, Jenkins, Artifactory, Ansible, Docker, and related platforms
- Implement and manage Infrastructure as Code, configuration management, and container-based deployments
- Ensure platform reliability through monitoring, incident response, and performance optimization
- Embed security scanning, policy enforcement, and security remediation into pipelines — automatically, not manually
- Work with security and architecture teams to define and enforce standards at the platform level
- Build self-healing and self-auditing capabilities that reduce human intervention in compliance workflows
- Define and document platform standards that delivery teams can adopt without hand-holding
- Coach teams toward automation-first, self-service patterns — through working examples, not slide decks
- Act as a technical lead and advisor to product teams, architects, and platform stakeholders
Requirements
- 3–5+ years of hands-on CI/CD and platform engineering experience in enterprise environments
- Proficiency in at least one of: Python, Java, .NET, Groovy — and willingness to work across all of them
- Experience building or integrating AI/LLM-based tools or agents in production or near-production environments
- Strong understanding of LLMOps concepts: prompt management, tool use, agent architectures, evaluation, observability
- Experience with Git-based workflows, build automation, and release pipelines at scale
- Hands-on experience with Infrastructure as Code, containers, and configuration management
- DevSecOps mindset — security is a design constraint, not a checklist item
Benefits
- Great Place to Work® Certified for Most Trusted Executive Team in Canada – 2025, 2024 and 2023
- Great Place to Work® Certified for Best Workplaces in Canada - 2025
- Canada Order of Excellence for Mental Health at Work® certification from Excellence Canada.
- Top Work Places® for Remote Work – Monster Canada - 2024
- Great Place to Work® Certified for Best Workplaces for Women in Canada - 2024
- Flexible hybrid work model.
- Pension, stock and savings programs to help build and enhance your future financial security
- Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives
- A friendly, collaborative and inclusive culture
- Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.
- Competitive salary and bonus structure influenced by market range data
- The opportunity to move along a variety of career paths with amazing networking potential
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