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5 дней назад

Senior Software Engineer (AI Platform)

95 000 - 139 000CAD
Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Software Engineer (AI Platform): Building and operating foundational infrastructure for intelligent experiences with an accent on model training pipelines, GPU orchestration, and high-throughput inference services. Focus on designing scalable backend systems, managing Kubernetes-based workloads, and ensuring reliability for privacy-respecting AI systems at global scale.

Location: Must be based in Canada

Salary: $95,000 – $139,000 CAD

Company

A non-profit-backed technology company dedicated to building an open, accessible, and privacy-focused internet.

What you will do

  • Design, build, and operate core platform services and APIs for production AI workloads.
  • Manage Kubernetes-based infrastructure, including GitOps pipelines and resource optimization.
  • Optimize backend services for throughput, latency, and cost efficiency.
  • Implement observability practices including metrics, logging, and alerting for operational resilience.
  • Collaborate with product, infrastructure, and security teams to enable scalable platform capabilities.
  • Participate in on-call rotations and drive incident response and post-incident reviews.

Requirements

  • Must be based in Canada
  • 4–6 years of relevant industry experience in building and operating production systems.
  • Strong modern Python skills with experience in building libraries and CLIs.
  • Proven experience deploying and operating production-grade infrastructure on GCP and GKE.
  • Hands-on experience with Kubernetes, Helm, and Terraform.
  • Experience designing and running scalable APIs and managing database deployments (Postgres).
  • Effective communication skills and experience collaborating across cross-functional teams.

Nice to have

  • Experience with Ray or Ray Serve for GPU-backed model serving.
  • Experience building stateless ML services or multi-provider LLM gateways.
  • Familiarity with privacy-preserving ML techniques and responsible AI design.
  • Contributions to open-source infrastructure projects.

Culture & Benefits

  • Generous performance-based bonus plans.
  • Comprehensive medical, dental, and vision coverage.
  • Generous retirement contributions with 100% immediate vesting.
  • Quarterly all-company wellness days and well-being stipends.
  • Annual professional development budget and home office stipend.
  • Considerable paid parental leave.

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