Senior Software Engineer, Cloud Development

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Cloud Development based in Canada.

This role sits at the core of a modern AI platform team responsible for building and operating large-scale infrastructure that powers intelligent product experiences. You will design and maintain cloud-native services that support model training, deployment, and high-throughput inference in production environments. The work spans distributed systems, Kubernetes-based orchestration, and GPU-accelerated workloads at global scale. You will contribute to the evolution of reliable, secure, and privacy-conscious AI systems used by millions of users. The environment is highly collaborative, bringing together engineering, product, infrastructure, and security teams. This is a hands-on role for someone who thrives in complex backend systems and cares deeply about performance, scalability, and operational excellence.

• Design, build, and operate scalable platform services and APIs that support production AI and backend workloads.
• Own service reliability end-to-end, improving availability, latency, scalability, and cost efficiency across distributed systems.
• Develop and optimize Kubernetes-based infrastructure, including deployment pipelines, environment configuration, and resource management.
• Improve service lifecycle practices such as packaging, versioning, testing, validation, and automated deployments.
• Implement observability systems (metrics, logging, tracing, alerting) to strengthen operational visibility and incident response.
• Collaborate with cross-functional teams to deliver secure, scalable, and privacy-respecting platform capabilities.
• Participate in architectural discussions, operational processes, on-call rotations, and incident postmortems while mentoring peers.

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Requirements:

• Bachelor’s degree with 4–6+ years of relevant experience, or equivalent hands-on production systems experience.
• Strong Python development skills with experience building maintainable services, libraries, and CLIs.
• Proven experience running production workloads in cloud environments (GCP preferred) and managing infrastructure at scale.
• Deep knowledge of Kubernetes and Helm, including multi-environment deployments and progressive rollouts.
• Experience with infrastructure-as-code tools such as Terraform for provisioning and managing cloud resources.
• Strong understanding of distributed systems, API design, and production-grade service reliability.
• Familiarity with observability tools (e.g., Grafana) and debugging performance or reliability issues in complex systems.
• Excellent communication skills and experience collaborating across engineering, product, and infrastructure teams.
• On-call and incident response experience in production environments.
• Bonus: experience with GPU workloads, Ray/Ray Serve, ML infrastructure, or multi-provider LLM systems.

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Benefits:

• Competitive performance-based bonus program with shared success model.
• Comprehensive medical, dental, and vision coverage.
• Strong retirement contributions with immediate 100% vesting.
• Quarterly company-wide wellness days and additional paid holidays.
• Home office stipend and annual professional development budget.
• Quarterly well-being allowance for personal wellness needs.
• Generous parental leave policies.
• Employee referral bonuses and additional country-specific benefits (life insurance, disability coverage, EAP, etc.).