Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко сосредоточена на SRE-задачах с Kubernetes в значимой платформе спутниковых данных, описание подробное, а условия включают сильный пакет льгот; основные ограничения - работа из офиса три дня в неделю и требования экспортного контроля.
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Актуальный стек
Понятные задачи
Спутниковые данные
?Дежурства
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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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