Lead Software Engineer – MLOps

Sun Life

Lead Software Engineer focusing on MLOps within analytics platform, emphasizing AWS services and machine learning operations. Responsible for technical leadership, software engineering, and team collaboration.

Posted 5/8/2026full-timeWaterloo • 🇨🇦 CanadaSenior💰 CA$90,000 - CA$140,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsJavaPythonScalaTerraform

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.
A hybrid organization that offers employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you!

ATS Keywords

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Hard Skills & Tools

MLOpsML platform capabilitiesmodel lifecycle managementCI/CDsoftware engineeringAPIsAWSDistributed systemsPythonInfrastructure-as-Code

Soft Skills

technical leadershipcommunication skillsmentoringinfluencing architecturecollaboration