Principal Software Engineer - MLOps
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- Canada
- 90.000-140.000 $ par an
- Permanent
- Temps-plein
- Provide Principal‑level 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
- 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 Principal 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
- 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
- We value analytical thinking and continuous learning. Through training and coaching, you can improve your data literacy and apply insights in meaningful ways, regardless of experience level.
- We’re honoured to be recognized as a 2026 Best Workplaces in Canada by Great 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