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6 дней назад

Sr. Site Reliability Engineer - Federal (Kubernetes)

118 400 - 148 000$
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
Sr. Site Reliability Engineer - Federal (Kubernetes) (Linux, Kubernetes, Python, Go): Building and operating highly available bare-metal and cloud infrastructure for the Zero Trust Exchange with an accent on systems-level reliability, performance, and production automation. Focus on cross-stack incident response, kernel and network debugging, telemetry and SLOs, and scaling infrastructure across a high-throughput multi-region fleet.

Location: Hybrid, onsite three days a week in Santa Clara, California, USA. US citizenship is required due to the nature of assigned customers.

Salary: $118,400–$148,000 USD base pay annually, excluding bonus, equity, commission, and benefits.

Company

hirify.global provides the Zero Trust Exchange, a cloud security platform that protects customers from cyberattacks and data loss across global public and private infrastructure.

What you will do

  • Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks.
  • Lead full-cycle incident response through cross-stack operating system, network, and application troubleshooting.
  • Automate infrastructure lifecycle management, provisioning, configuration, and release deployments with Ansible, Python, and Go.
  • Own metrics, logs, and traces using Prometheus and OpenTelemetry, and define SLOs and error budgets.
  • Conduct architectural reviews, kernel upgrades, capacity and performance tuning, and CI/CD validation before production rollouts.

Requirements

  • US citizenship is required.
  • At least 3 years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering for high-scale, low-latency production platforms.
  • Ability to write and debug executable code in Python, Go, or Bash and create Ansible playbooks and tasks.
  • Deep knowledge of Linux internals and kernel troubleshooting, including inodes, file descriptors, process states, and storage analysis.
  • Comprehensive networking knowledge covering DNS, TLS, TCP/IP, and packet captures with tcpdump.
  • Foundational understanding of AI/ML technologies and experience applying AI-driven solutions within the relevant domain.

Nice to have

  • Production experience with FreeBSD or other BSD operating systems.
  • Experience operating and scaling Kubernetes clusters and workflow orchestration platforms such as Temporal.
  • Deep experience with Prometheus and OpenTelemetry or AI/ML and AIOps tools for automated root-cause analysis.

Culture & Benefits

  • Ownership, collaboration, trust through outcomes, and continuous feedback.
  • Health plans, vacation and sick time, parental leave, and retirement options.
  • Education reimbursement and in-office perks.
  • Inclusive workplace focused on collaboration, belonging, and professional development.

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