Lead Software Engineer - MLOps

Sun Life • Waterloo, ON

4d • $90,000 - $140,000 • Hybrid

About The Position

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

Requirements

• 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
• CI/CD pipelines and automation
• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed