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7 дней назад

Senior Site Reliability Engineer (AI/ML)

144 100 - 193 200$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Site Reliability Engineer (AI/ML): Designing and operating reliable, scalable on-premises and cloud-native infrastructure for animation production with an accent on observability, automation, and production AI/ML platforms. Focus on building MLOps capabilities, improving service reliability and performance, and developing telemetry, alerting, and tooling for rapid incident diagnosis.

Location: Burbank, California, United States

Salary: $144,100–$193,200 per year, plus potential bonus, long-term incentives, and benefits.

Company

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

What you will do

  • Design, implement, and support reliable on-premises and cloud-native infrastructure using infrastructure as code and security automation.
  • Deploy and operate AI-powered tools and ML infrastructure in production environments.
  • Build observability, telemetry, alerting, SLIs/SLOs, performance optimization, and operational runbooks.
  • Operate and evolve CI/CD, Git, cloud hosting, containerization, and web server technologies.
  • Partner with studio stakeholders to translate workflows and business requirements into platform solutions.
  • Develop internal tooling and reusable standards to diagnose and resolve platform, service, and application issues.

Requirements

  • At least 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, and UNIX/Linux administration.
  • Experience with Datadog, Prometheus, Grafana, containerization, Kubernetes, cloud platforms, and infrastructure-as-code tools.
  • Experience implementing enterprise MLOps infrastructure for model validation, deployment, fallback, routing, load balancing, quota management, and inference metrics.
  • Experience with CI tools, secrets management, data protection, and scalable AWS, GCP, or Azure solutions.
  • Proficiency in at least one programming language such as Python, Java, Scala, Go, Rust, or Ruby; a relevant degree or equivalent experience is expected.

Nice to have

  • Film production experience and web server administration experience.
  • Knowledge of LLM and MCP gateways, AI-agent runtime environments, GPU infrastructure, and model-serving frameworks.

Culture & Benefits

  • Work with filmmakers, artists, and technical collaborators on animated content.
  • Potential bonus and long-term incentive units may be included in the compensation package.
  • Medical, financial, and other benefits may be provided depending on the level and position offered.
  • Equal opportunity employment environment.

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