Vous êtes unique, comme le sont votre parcours, votre expérience et votre façon de voir les choses. Ici, on vous encourage et on vous motive à donner le meilleur de vous-même, et on vous donne les moyens de le faire. Vous travaillerez avec des collègues dynamiques - experts dans leur domaine - qui sont impatients de partager leurs connaissances avec vous. Vous aurez des gestionnaires inspirants qui vous aideront à développer votre potentiel et à atteindre de nouveaux sommets. Chaque jour, vous aurez de nouvelles occasions de rendre la vie de nos Clients plus radieuse - ils sont au cœur de tout ce que nous faisons. Découvrez comment vous pouvez faire une différence dans la vie des gens, des familles, des collectivités - ici et partout dans le monde.

Description de poste : About the role : 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
- 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

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

What’s in it for you :

- We’re honoured to be recognized as a 2026 Best Workplaces in Canada by Outstanding Place to Work® Canada.
- We are thrilled to be recognized by Excellence Canada with their top-level certification, the Canada Order of Excellence for Mental Health at Work® , for prioritizing employee well-being, fostering a positive work culture, and achieving excellence in mental health.
- 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

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

Nous sommes fiers d’être une organisation hybride qui offre aux employés le choix et la flexibilité de travailler au bureau ou à distance, selon les besoins de l’entreprise, ceux des Clients et les vôtres! Nous offrons plusieurs options de travail selon les exigences du poste et les besoins individuels. N’hésitez pas à en discuter pendant le processus de sélection.

Nous remercions toutes les personnes qui auront manifesté leur intérêt pour ce poste. Nous ne communiquerons qu’avec celles retenues pour une entrevue.

Échelle salariale :

📌 Lead Software Engineer - Mlops (Waterloo)
🏢 Sun Life
📍 Waterloo