Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$144к-193к/год
$140к$180кмедиана$220к
По похожим ролям (49) ~ $180к/год
На СНГ рынке: $3к/мес ($2.6к - $4.7к)
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У Disney четко очерченная роль Senior SRE с современными задачами в AI-инфраструктуре, но зарплата ниже медианы рынка, а работа предполагает офис в Калифорнии.
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Ниже рынкаСовременный стекФокус на AIЧеткая роль
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, 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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