Lead Software Engineer - MLOps
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. At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.Discover how you can make a difference in the lives of individuals, families and communities around the world.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 opportunity 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 teamsDesign, build, and evolve production‑grade MLOps and ML platform capabilities, including model lifecycle management, CI/CD, evaluation, monitoring, and governanceSpend ~60% hands‑on in software engineering, building high‑quality, testable, maintainable services, frameworks, APIs, and shared libraries that enable ML and GenAI at scaleSpend ~40% on platform, cloud, and MLOps enablement, ensuring solutions are secure, scalable, observable, and cost‑effectiveAct as a technical authority for AWS‑based ML platforms, leading design decisions and guiding adoption of new cloud and GenAI servicesEstablish and evolve engineering and MLOps standards, patterns, and best practices across squadsPartner closely with Architecture, Security, Risk, and Product teams to reduce delivery, operational, and model governance riskLead by example through code reviews, design reviews, incident analysis, and operational improvementsMentor senior and intermediate engineers, raising the overall technical bar without direct people managementWhat you need to succeedA deep software engineering background, with a strong track record of building and operating large‑scale, production systemsExtensive hands‑on experience with AWS in production, including infrastructure design, deployment, and optimizationStrong experience withDist...