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14 дней назад

Senior Site Reliability Engineer (Applied Machine Learning)

206 086 - 341 734$
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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Описание вакансии

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TL;DR
Senior Site Reliability Engineer (Applied Machine Learning): Designing and operating large-scale distributed machine learning, recommendation, and LLM inference infrastructure with an accent on MLOps automation, fault tolerance, and system reliability. Focus on architecting ML platform components, building multi-stage CI/CD pipelines, analyzing complex distributed failures, and leading incident response and mentoring.

Location: Bellevue, Washington, United States; Seattle is also listed under conditions. Full-time, onsite role, 40 hours per week.

Base salary: $206,086–$341,734 annually, with potential additional bonuses, incentives, and restricted stock units.

Company

A technology joint venture focused on data privacy, cybersecurity, national security, and protecting U.S. user data and applications.

What you will do

  • Design and architect large-scale distributed machine learning, recommendation, and LLM inference systems.
  • Make performance, cost, and maintainability decisions for ML platform components and workloads.
  • Build sophisticated MLOps automation and multi-stage CI/CD pipelines for ML and LLM model deployment.
  • Perform root cause analysis for distributed system failures and develop fault-tolerant, self-healing components.
  • Provide user support, respond to incidents, conduct postmortems, and participate in technical operations rotations.
  • Mentor junior site reliability engineers and interns.

Requirements

  • Master’s degree or foreign equivalent in Computer Science, Engineering, Information Technology, or a related field plus 3 years of related experience; or bachelor’s degree or foreign equivalent plus 5 years of progressive post-bachelor’s experience.
  • At least 3 years of experience provisioning servers with Linux operating systems.
  • At least 3 years of experience managing system resources and deployments with configuration management tools.
  • At least 3 years of experience building tools with programming and scripting languages.
  • At least 3 years of experience processing large volumes of logs and data, creating reports, dashboards, and alerts with analytical and search-processing tools.
  • At least 3 years of experience deploying and managing applications with containerized tools.

Culture & Benefits

  • Inclusive workplace with reasonable accommodations available during recruitment.
  • Medical, dental, and vision insurance from the first day of employment.
  • 401(k) savings plan with company match, life insurance, disability coverage, and wellbeing benefits.
  • Paid parental leave, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.

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