Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
121к-162к CAD/год
170к CAD230к CADмедиана260к CAD
По похожим ролям (49) ~ 230к CAD/год
На СНГ рынке: $4.1к/мес ($2.9к - $4.7к)
68
Хорошая вакансия
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Обязанности чётко описаны, а работа даёт опыт с production MLOps и современной инфраструктурой, но зарплата заметно ниже ориентира для сопоставимых senior-позиций.
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Ниже рынкаАктуальный стекЧёткие задачиИнфраструктура AI
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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