Site Reliability Engineer (AI)

TL;DR

Site Reliability Engineer (AI/Infrastructure): Ensuring the stability, resilience, and observability of a global AI infrastructure platform with an accent on SLI/SLO adoption and incident response. Focus on automating operational workflows, reducing toil, and improving GPU performance visibility in high-scale distributed systems.

Location: Remote, USA

Salary: $150,000 – $200,000 USD

Company

hirify.global is a foundational platform for developers to build and run custom AI systems that scale, focusing on high-performance infrastructure for modern AI workloads.

What you will do

• Define and enforce reliability standards, SLIs, and SLOs across critical services.
• Lead incident response, coordinate mitigation, and conduct blameless postmortems.
• Design and improve observability systems using Prometheus, Grafana, and custom tooling.
• Automate recurring operational workflows using Python, Go, and Bash to reduce toil.
• Partner with engineering teams to enhance fault tolerance and system resilience.
• Perform production readiness reviews for new features and identify systemic risks.

Requirements

• 5+ years of experience in SRE, Reliability Engineering, or Production Engineering.
• Must be based in the USA.
• Strong expertise in Linux systems, networking, and containerized production environments.
• Deep understanding of distributed systems and failure modes.
• Proven experience in incident response leadership and managing SLIs/SLOs.
• Strong scripting/programming skills and excellent written communication.

Nice to have

• Experience with GPU infrastructure or AI/ML platforms.
• Background in high-growth, large-scale environments or startup experience.
• Familiarity with Infrastructure as Code (IaC) and GPU observability tooling.
• Experience building internal reliability platforms or frameworks.

Culture & Benefits

• Meaningful equity and stock options in a fast-growing company.
• Generous medical, dental, and vision plans.
• Flexible PTO policy to support recharge and work-life balance.
• Remote-first culture with collaborative teams utilizing Slack for communication.