SRE Jobs in United States
There are 1,385 open SRE jobs in United States on freehire right now. 311 of them were posted recently. The skills employers ask for most often are cloud, automation and observability.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| USD | year | $161,019 | $187,000 | $208,777 | 322 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- cloud 67%
- automation 63%
- observability 55%
- python 52%
- kubernetes 51%
- aws 45%
- ci-cd 43%
- ai 42%
How the work is done
- Remote 266 · 19%
- Hybrid 219 · 16%
- Onsite 73 · 5%
Visa sponsorship offered in 42% of the 317 postings that state a position on it.
Seniority
- Senior 467
- Staff 109
- Lead 96
- Principal 51
- C-level 23
- Junior 10
Who is hiring
- 1000+ employees 378
- 501-1000 employees 129
- 51-200 employees 33
- 11-50 employees 25
- 201-500 employees 5
Senior Software Engineer, Site Reliability Engineering (Remote)
Build and automate a hybrid cloud SRE practice for a fintech company, migrating legacy on-prem workloads to GCP while defining SLOs, IaC pipelines, and self-healing systems.
Manager, Site Reliability Engineering – Paylo Platform
Lead a team of SRE managers and engineers to ensure the reliability and scalability of PDI’s Paylo payments, loyalty, and fuel-pricing platforms on AWS, Azure, and Kubernetes.
Senior Site Reliability Engineer - Fleet
Build and operate AI cloud infrastructure, automating large-scale HPC clusters with Ansible/Terraform and monitoring GPU/fabric health to ensure high availability for AI workloads.
Senior Vice President, Site Reliability Automation Engineer
Designs and implements observability and monitoring for distributed banking systems, building dashboards, alerts, and integrating tools like AppDynamics and Splunk.
Senior Site Reliability Engineer - Managed Kubernetes
Build and scale Lambda’s managed Kubernetes platform for AI/ML workloads, operating bare-metal clusters, automating lifecycle management, and ensuring high reliability with Go and Python.