Ridgecrest, California, United States

Computational Systems Engineer

USD 135K–155K / yearOn-siteMidDevOps / SRE / platform / cloud

AnsibleLinux

Original posting ↗Apply ↗Company job board ↗

Saalex, a tech services company in AI and data, has an open position for Computational Systems Engineer. The role is on-site in Ridgecrest, United States. Our labels mark it as a mid-level role in DevOps / SRE / platform / cloud. The stack in the posting includes Ansible and Linux. Perks named in the posting: equity. A university degree is required. Saalex has 13 open positions on this site, 6 of them in IT and engineering.

Posted today · Last checked 2026-10-28

About Saalex

AI and data Tech services / agency / consultancy 13 open positions, 46% in IT and engineering. Most open roles: DevOps / SRE / platform / cloud (4), Operations and admin (3), Software engineering (general) (2).

All open jobs at Saalex →

Similar jobs

PACS System Administrator Unlimited Technology · Silver Springs, MD Hybrid Sr. Systems Engineer – Flight Management System (FMS)Quest Defense Systems & Solutions, Inc. · Cedar Rapids, Iowa, United States USD 110K–145K / year Network Infrastructure LeadOpenAI · US - RemoteUSD 177K–285K / year Member of Technical Staff (Site Reliability Engineer, Cloud Infrastructure)Perplexity · San Francisco | Remote (United States) | Seattle | New York CityUSD 220K–405K / year Staff Network Engineerthemuralgroup · San Francisco, CA | New York, NY | Dallas, TXUSD 270K–400K / year Systems AdministratorSmartleaf · BostonUSD 100K–150K / year Desktop Systems EngineerDRW · ChicagoUSD 85K–125K / year Voice Systems EngineerSpaceX · Memphis, TN

1,164 open DevOps / SRE / platform / cloud jobs in the United States All open jobs at Saalex →

Workplace	On-site
Seniority	Mid
Role	DevOps / SRE / platform / cloud
Countries	United States
Employment type	Full-time
Key facts	Stack: Ansible, Linux · Degree required · Security clearance required · Equity

The full description is on the original posting. Labels are set automatically and can be wrong. About the data