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5 дней назад

Senior Site Reliability Engineer (AI/ML)

120 700 - 161 800CAD
Формат работы
onsite
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 Site Reliability Engineer (AI/ML): Designing and operating reliable on-premises and cloud-native infrastructure for animation production with an accent on observability, automation, and AI/ML platform operations. Focus on building scalable MLOps infrastructure, improving service reliability and performance, and developing tooling for diagnosing complex platform issues.

Location: Vancouver, Canada

Salary: C$120,700–C$161,800 per year

Company

Walt Disney Animation Studios creates animated content through collaboration between filmmakers, artists, and technical teams.

What you will do

  • Design, implement, and support reliable on-premises and cloud-native infrastructure using infrastructure as code, security automation, observability, SLIs/SLOs, and performance optimization.
  • Deploy and operate AI-powered tools and ML infrastructure in production, including MLOps capabilities for validation, model deployment, fallback, routing, load balancing, quota management, and inference metrics.
  • Partner with studio stakeholders to translate workflows and business requirements into end-to-end platform and infrastructure solutions.
  • Operate and evolve CI/CD platforms, Git source management, cloud hosting, containers, orchestration systems, and web technologies such as Apache HTTPd and NGINX.
  • Develop telemetry, alerting, runbooks, and internal tooling to improve service visibility and reduce mean time to repair.
  • Evaluate emerging technologies and create documented standards and reusable operational patterns.

Requirements

  • Bachelor’s degree in computer science, computer engineering, electrical engineering, or equivalent professional experience.
  • 5+ years of experience in SRE, DevOps, technical operations, systems engineering, software engineering, or related disciplines.
  • Expertise in distributed systems, networking, hardware architecture, capacity planning, UNIX/Linux administration, troubleshooting, performance tuning, and security.
  • Experience with Datadog, Prometheus, Grafana, Docker, Podman, Kubernetes, Rancher, AWS ECS/EKS, Terraform, Helm, CloudFormation, Puppet, or Ansible.
  • Experience building enterprise MLOps infrastructure and scalable cloud solutions across AWS, GCP, or Azure.
  • Proficiency in at least one programming language such as Python, Java, Scala, Go, Rust, or Ruby, with strong cross-team communication and project leadership skills.

Nice to have

  • Film production, web server administration, or secure MLOps deployment experience.
  • Experience with LLM and MCP gateways, JFrog Xray, AI agent runtimes, GPU infrastructure, model serving, or inference frameworks.

Culture & Benefits

  • Work with filmmakers, artists, and technical collaborators on animated content.
  • Collaborate across the studio on platform and infrastructure solutions.
  • Medical, financial, and other benefits may be offered depending on the level and position.
  • Equal opportunity employment.

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