Senior Dev/MLOps Engineer

Description

• Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
• Document infrastructure, workflows, and operational procedures clearly and thoroughly.
• Automate deployment, orchestration, and environment management using modern DevOps tooling.
• Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production.
• Own and manage the full lifecycle of both ML models and core infrastructure – from development and deployment to monitoring and continuous improvement.
• Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering.
• Proactively detect, troubleshoot, and resolve infrastructure and model performance issues.
• Ensure reliability, scalability, observability, and security of production systems and ML infrastructure.
• Build and maintain robust CI/CD pipelines for both software and ML workflows.

Requirements

• Ability to design scalable, secure, and observable systems in fast-moving environments.
• Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role.
• Understanding of security and compliance best practices for both software and ML systems.
• Freedom to influence the product and own key initiatives
• Strong debugging and problem-solving skills across distributed systems.
• Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch.
• Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm).
• Excellent collaboration and communication skills, with experience working in cross-functional teams.
• Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes).
• Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing.

Benefits

• Competitive salary plus participation in our Stock Option Plan
• Travel opportunities to our Vancouver and Boston offices
• Office perks: free breakfasts, lunches, snacks, and regular team events
• Paid vacation with adjustments based on your location to comply with local labor laws

Training + Development

Interview process

Visa Sponsorship

Security clearance