Job Description: About the role: The Enterprise Data & Analytics Enablement team is looking for a highly experienced, hands-on Lead Software Engineer to lead our MLOps team within an Analytics Platform, emphasizing AWS cloud services and machine learning operations.

The successful candidate will have strong technical and problem-solving skills and the ability to lead a team of MLOps Engineers.

This unique chance offers a dynamic space and a chance to collaborate with multiple technical and business teams.

What you will do: Provide technical leadership for the MLOps squad within the Analytics Platform, influencing architecture and standards across multiple teams Design, build, and evolve productiongrade MLOps and ML platform capabilities , including model lifecycle management, CI/CD, evaluation, monitoring, and governance Spend ~ 60% handson in software engineering , building highquality, testable, maintainable services, frameworks, APIs, and shared libraries that enable ML and GenAI at scale Spend ~ 40% on platform, cloud, and MLOps enablement , ensuring solutions are secure, scalable, observable, and costeffective Act as a technical authority for AWSbased ML platforms , leading design decisions and guiding adoption of new cloud and GenAI services Establish and evolve engineering and MLOps standards , patterns, and best practices across squads Partner closely with Architecture, Security, Risk, and Product teams to reduce delivery, operational, and model governance risk Lead by example through code reviews, design reviews, incident analysis, and operational improvements Mentor senior and intermediate engineers, raising the overall technical bar without direct people management What you need to succeed A deep software engineering background , with a strong track record of building and operating largescale, production systems Extensive handson experience with AWS in production , including infrastructure design, deployment,



and optimization Strong experience with Distributed systems and cloudnative architecturesCI/CD pipelines and automation

Observability, reliability, and incident response

Practical experience with MLOps, Model

Ops, ML platforms, or LLMOps in enterprise environments Proficiency in one or more of: Python, Java, Scala , and Infrastructureas

Code tooling (Terraform / Cloud

Formation) Ability to operate at Lead scope , influencing architecture and decisions across multiple teams and domains Exceptional communication skills, with the ability to explain complex technical concepts to both technical and nontechnical stakeholders Preferred skills: Deep familiarity with AWS analytics, ML, and GenAI services , including evaluation and monitoring tooling Experience designing or supporting enterprise MLOps / ML platform frameworks used by multiple teams Strong understanding of securityfirst design , governance, and compliance in regulated environments Experience balancing innovation with operational supportability in platform teams Proven ability to mentor and influence without formal authority Strong product and business awareness, enabling pragmatic technical tradeoffs We value analytical thinking and continuous learning.

Through training and coaching, you can improve your data literacy and apply insights in meaningful ways, regardless of experience level.

Whats in it for you: Were honoured to be recognized as a 2026 Best Workplaces in Canada by Great Place to Work Canada.

Wellness programs that support the three pillars of your health mental, physical, and financial The opportunity to move along a variety of career paths with amazing networking potential.

As a hybrid organization, you and your leader use business and Client need to choose where you work, at home or in the office As a condition of the role, the successful candidate must obtain a Government of Canada Reliability Status security clearance through Sun Life in advance of the start date Must be able to satisfactorily complete applicable background checks prior to the start date and during employment, in accordance with Sun Lifes policies and practices

📌 Lead Software Engineer - MLOps (Toronto)
🏢 Sun Life
📍 Toronto