Staff Platform Reliability Engineer (AI)

TL;DR

Staff Platform Reliability Engineer (SRE/Kubernetes): Building and optimizing the Tempest scale and reliability platform for AI-driven organizations with an accent on performance profiling and infrastructure automation. Focus on diagnosing system bottlenecks, improving observability through Prometheus and New Relic, and scaling the platform across multi-cloud environments.

Location: Remote (Must be based in the US)

Salary: $185,000 - $230,000 USD

Company

hirify.global builds software that helps the largest AI-driven organizations develop and operate advanced data science and AI solutions at scale.

What you will do

• Serve as the technical owner of Tempest, ensuring the scale and reliability platform remains extensible and aligned with infrastructure needs.
• Diagnose and resolve performance bottlenecks and resource misconfigurations in production Kubernetes environments.
• Deliver data-driven sizing recommendations for customer-facing documentation based on empirical testing.
• Enhance observability by improving Prometheus and New Relic instrumentation to pinpoint root causes.
• Operationalize and enable scale testing across multiple cloud providers.
• Build infrastructure automation to increase the operational efficiency of a small engineering team.

Requirements

• Experience in SRE or platform engineering operating distributed systems in production Kubernetes.
• Strong proficiency in Python for orchestration, infrastructure automation, and systems integration.
• Expertise with observability stacks including Prometheus, Grafana, and New Relic.
• Proven ability to profile services and identify resource bottlenecks to ship durable fixes.
• Familiarity with performance and load testing tools such as Locust or k6.
• Must be based in the United States.

Culture & Benefits

• Comprehensive benefits package including medical, dental, and vision insurance.
• Financial perks such as a 401(k) plan, equity, and company bonuses.
• Wellness stipends to support employee health.
• Remote-first, asynchronous work environment.
• Culture of continuous improvement, teaching, and learning.