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2 дня назад

Site Reliability Engineer (Kubernetes)

144 500 - 180 600$
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

Текст:
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TL;DR
Site Reliability Engineer (Kubernetes): Building, deploying, and operating compute infrastructure for a next-generation satellite operations and image processing platform across customer on-premises and cloud environments with an accent on reproducible deployments, reliability, scalability, and air-gapped systems. Focus on designing distributed infrastructure, tuning constrained Kubernetes clusters, troubleshooting failure modes, and supporting highly available services through on-call operations.

Location: San Francisco, California, United States; hybrid work requiring 3 days per week from the San Francisco office

Salary: $144,500–$180,600 USD base salary annually

Company

hirify.global designs, builds, and operates imaging satellites and a cloud-based data platform for commercial, environmental, and humanitarian users.

What you will do

  • Build, deploy, and operate computing services and infrastructure for a satellite operations and image processing platform across customer on-premises and cloud environments.
  • Architect and support reproducible, air-gapped deployments at scale, including service orchestration and documentation.
  • Clarify requirements from internal users and external customers and collaborate with cross-functional engineering teams on software integration.
  • Scale architecture while maintaining service availability, reliability, and performance.
  • Investigate failure modes, resolve edge cases, write tests, and troubleshoot distributed systems.
  • Participate in on-call rotations and support operational excellence.

Requirements

  • 4+ years of experience building services that use cloud-native infrastructure and tooling.
  • Bachelor’s degree in Computer Science or a similar field.
  • Experience deploying and maintaining bare-metal and cloud Kubernetes using tools such as Talos, RKE2, Proxmox, or k3s.
  • Proficiency with Terraform, Ansible, Helm, Kustomize, and/or similar IaC or GitOps tooling.
  • Experience with CI/CD tooling such as Jenkins, GitLab CI/CD, Argo CD, or CircleCI.
  • Experience building, releasing, and supporting highly available and consistently performant services.
  • Knowledge of hardware- and network-level implications of on-premises computing and experience optimizing resources, managing clusters, and tuning platforms in constrained environments.
  • Ability to observe and troubleshoot distributed systems using tools such as Alloy, Prometheus, Grafana, and OpenTelemetry.
  • Advanced Python and Bash skills, strong communication and cross-functional collaboration abilities, and experience using Jira for task management and progress tracking.
  • Access to export-controlled information must be possible without additional export licensing from the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Nice to have

  • Experience with CUDA-based GPU programs.
  • Security expertise in sensitive environments, including zero-trust architectures, Kubernetes hardening, security audits, and workloads deployed in air-gapped environments.

Culture & Benefits

  • People-centric culture focused on belonging, collaboration, and humanitarian impact.
  • Medical, dental, and vision plans, plus an HSA with company contribution.
  • Paid time off, holidays, company-wide days off, and 16 weeks of paid parental leave.
  • Wellness and employee assistance programs, home-office reimbursement, and monthly phone and internet reimbursement.
  • Tuition reimbursement, LinkedIn Learning access, equity, commuter benefits for local office employees, and paid volunteering time off.

Hiring process

  • Applications are reviewed on a rolling basis and may close before the stated deadline once a suitable applicant pool is reached.
  • Selected interviews may be recorded with candidate consent using an AI notetaking tool; candidates may opt out.
  • AI tools are prohibited during live interviews and active assessments unless explicitly permitted, except when requested as an accommodation.

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