Назад
1 день назад

Senior Site Reliability Engineer

200 000 - 260 000$
Формат работы
hybrid
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 (Cloud Infrastructure/AI): Building and operating resilient cloud infrastructure and production services for an AI platform with an accent on reliability, scalability, observability, and automation. Focus on designing distributed systems, optimizing performance and cost, managing incidents, and improving deployment and on-call workflows.

Location: Hybrid, four days per week in the Mountain View office, Mountain View, CA

Salary: $200,000–$260,000 annual base salary

Company

Glean develops a Work AI platform with enterprise search, an AI Assistant, scalable AI agents, SaaS connectors, flexible LLM support, and APIs on a secure open platform.

What you will do

  • Design, build, and operate resilient cloud infrastructure and reliable production services.
  • Implement high-availability architectures, monitor performance, identify bottlenecks, and resolve points of failure.
  • Participate in the primary on-call rotation, lead incident management, and support blameless postmortems.
  • Develop automation, tooling, dashboards, playbooks, and monitoring systems for deployment, operations, and alerting.
  • Optimize infrastructure and applications for performance, scalability, capacity, and cost-effectiveness.
  • Contribute SRE expertise to system design, launch reviews, security and compliance, and architectural decisions while mentoring engineering teams.

Requirements

  • Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
  • 5+ years of experience in a senior-level Site Reliability Engineering or similar role managing cloud-based services and infrastructure.
  • 5+ years of software development experience in one or more programming languages.
  • 3+ years of experience leading projects and designing, analyzing, and troubleshooting distributed systems running in the cloud.
  • Strong knowledge of Google Cloud Platform, AWS, or Azure.
  • Practical experience with Docker and Kubernetes; familiarity with Terraform is essential.
  • Solid understanding of networking, security principles, and SRE and security best practices.
  • Proficiency with monitoring and alerting tools for detecting and responding to potential issues.

Culture & Benefits

  • Hybrid work with four days per week in the Mountain View office.
  • Medical, vision, and dental coverage, generous time off, and a 401(k) plan.
  • Home office improvement, annual education, and wellness stipends.
  • Regular company events and healthy lunches provided daily.
  • Inclusive workplace focused on diverse backgrounds, experiences, and perspectives.

Hiring process

  • Complete a brief AI-focused exercise or discussion during the interview process.

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