Staff Production Engineer (SRE) (Federal)

Location: Hybrid, onsite three days a week in San Jose, California, or another hirify.global office in the United States; remote may be considered for exceptional candidates. US citizenship is required.

Base salary: $119,000–$170,000 USD per year, excluding bonus, equity, commission, and benefits.

Company

hirify.global provides a cloud-native Zero Trust Exchange platform that helps organizations securely connect users, devices, and applications and protect against cyberattacks and data loss.

What you will do

• Own systems-level reliability and performance for high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions.
• Partner with Engineering and Networking teams to maintain high availability across Linux/BSD fleets, Kubernetes clusters, and custom routing stacks.
• Lead incident response and troubleshoot live production issues across OS and network layers using tools such as strace, lsof, tcpdump, iostat, vmstat, and gdb.
• Automate infrastructure lifecycle management, service provisioning, configuration workflows, and releases with Ansible, Python, and Bash.
• Operate metrics, logs, and traces with Prometheus and OpenTelemetry, and define SLOs and error budgets to reduce alert noise.
• Conduct architectural reviews, OS and kernel upgrades, capacity and performance tuning, and CI/CD validation before production rollouts.

Requirements

• US citizenship is required due to the nature of assigned customers.
• 5+ 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 live in Python, Go, or Bash, including core logic and data structures.
• Hands-on experience writing Ansible playbooks and tasks for infrastructure automation.
• Deep knowledge of Linux internals, kernel troubleshooting, networking protocols, DNS, TLS, TCP/IP, and packet-level analysis with tcpdump.
• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions.

Nice to have

• Production experience with FreeBSD or other BSD operating systems.
• Experience running, scaling, and troubleshooting Kubernetes clusters in high-traffic environments.
• Deep experience with Prometheus and OpenTelemetry ecosystems, AI/ML frameworks, or AIOps tools for automated root-cause analysis.

Culture & Benefits

• Health plans and time off for vacation and sick leave.
• Parental leave options and retirement plans.
• Education reimbursement and in-office perks.
• Culture centered on customer focus, collaboration, ownership, accountability, and constructive debate.