Deploy
Direct Lever career site

Systems Engineer / DevOps

Location
San Francisco, CA · On-site
Job type
Full-time
Level
Senior
Listed
17 days ago

Skills & highlights for this role

  • DevOps
  • Systems Engineering
  • Automation
  • AWS

Also useful

  • GPU Infrastructure
  • Data Center Operations
  • Hybrid Cloud
  • Site Reliability Engineering

DevOps and Systems Team

Our unique machine learning needs led us to open our own data centers, with an emphasis on GPU resources. Even with these data centers, we maintain a hybrid infrastructure into AWS to power some parts of our consumer apps. As we continue to commercialize our machine learning models, we also need to grow our DevOps and Systems team to maintain the reliability of a SaaS offering for our customers.

Our ideal candidate is someone who is able to thrive in an unstructured environment and takes automation seriously. You believe there is no task that can’t be automated and no server scale too large. You take pride in ensuring developers can deploy their servers without worrying about downtime.

About Deploy

Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughout. Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection. Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.

Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.

Read the original posting

From Deploy's careers page, first listed on Rolev.ai on October 22, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Systems Engineer / DevOps role at Deploy, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

  • See how you fit

    Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.

  • Tailor without inventing

    Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.

  • Draft the full kit

    Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.

  • 1-Click Extension Autofill

    The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.

Common questions

Where is the Systems Engineer / DevOps job at Deploy located?

This Systems Engineer / DevOps position at Deploy is located in San Francisco, CA (On-site). Always check Deploy's application page for specific state eligibility or relocation policies.

What qualifications are required for Systems Engineer / DevOps at Deploy?

For the Systems Engineer / DevOps role, Deploy highlights experience with DevOps, Systems Engineering, Automation, AWS. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Systems Engineer / DevOps position at Deploy?

This listing links directly to Deploy's Lever application page. You can apply directly on Deploy's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Lever application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.