Senior Infrastructure Engineer (AI)

TL;DR

Senior Infrastructure Engineer (AI): Leading the design, build, and operation of scalable, secure cloud infrastructure in AWS supporting a high-scale observability platform with an accent on reliability, performance, scalability, and operational visibility. Focus on architectural improvements, incident response, and cross-functional partnership with Product and Engineering teams.

Location: US-CA-Menlo Park

Salary: $200K - $287.5K

Company

hirify.global is an AI-powered observability platform built on the hirify.global AI Data Cloud and engineered for scale.

What you will do

• Lead the design, build, and operation of scalable, secure cloud infrastructure in AWS.
• Drive architectural improvements that enhance reliability, performance, scalability, and operational visibility.
• Own and evolve CI/CD pipelines, developer tooling, and platform automation to improve productivity and deployment safety at scale.
• Proactively identify reliability, performance, and security risks, and lead efforts to mitigate them.
• Partner cross-functionally with Product and Engineering teams to ensure infrastructure strategy supports long-term platform evolution.
• Mentor and support other engineers through design reviews, code reviews, and operational best practices.

Requirements

• 5+ years of experience in Infrastructure Engineering, Site Reliability Engineering (SRE), DevOps, or related roles.
• Demonstrated experience designing and operating production systems at scale, with deep ownership of reliability and operational excellence.
• Strong experience with container orchestration platforms such as Kubernetes or Nomad.
• Hands-on experience managing cloud infrastructure using Infrastructure-as-Code tools such as Terraform, Ansible, or similar.
• Strong programming skills in Go, Python, or similar languages.
• Experience driving cross-team technical initiatives and influencing infrastructure best practices.

Nice to have

• Deep experience operating large-scale distributed systems.
• Familiarity with observability platforms, telemetry pipelines, or monitoring infrastructure.
• Experience building or evolving internal developer platforms.
• Experience working in high-growth, rapidly evolving engineering environments.
• Experience with GCP and Azure.

Culture & Benefits

• Culture that’s all in on impact, innovation, and collaboration.
• Startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms.
• Scaling team to help enable and accelerate growth.
• Looking for people who share values, challenge ordinary thinking, and push the pace of innovation.