Lead Software Engineer

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

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.

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 production‑grade MLOps and ML platform capabilities, including model lifecycle management, CI/CD, evaluation, monitoring, and governance
• Spend ~60% hands‑on in software engineering, building high‑quality, 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 cost‑effective
• Act as a technical authority for AWS‑based 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 large‑scale, production systems
• Extensive hands‑on experience with AWS in production, including infrastructure design, deployment, and optimization
• Strong experience with: Distributed systems and cloud‑native architectures
• Strong experience with: CI/CD pipelines and automation
• Strong experience with: Observability, reliability, and incident response
• Practical experience with MLOps, ModelOps, ML platforms, or LLMOps in enterprise environments
• Proficiency in one or more of: Python, Java, Scala, and Infrastructure‑as‑Code tooling (Terraform / CloudFormation)
• 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 non‑technical 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 security‑first 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 trade‑offs

Benefits

• Recognized as a 2026 Best Workplace in Canada by Great Place to Work® Canada
• Recognized by Excellence Canada with the Canada Order of Excellence for Mental Health at Work®
• Wellness programs supporting mental, physical, and financial health
• Opportunity to advance through a variety of career paths with networking potential

Additional requirements

• 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 Life’s policies and practices

Salary Range

90,000 – 140,000 CAD