DevOps Engineer (MLOps / GPU Infrastructure)

Cognistack

Posted by

Emma

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Full-time

Legal agreement: Employment

Compensation

USD150k - 220k/year

Negotiable

SFO (SFO), San Francisco, CA, USA

Posted 4 months ago

🚀 Hiring: DevOps Engineer (MLOps / GPU Infrastructure) StartupStack by COGNISTACK is hiring on behalf of a fast-growing AI infrastructure company building production-grade document intelligence systems processing billions of enterprise documents. 📍 San Francisco, CA (5 Days Onsite) 💰 Salary: $150K – $220K 🛂 Visa Transfers Supported 👥 Hiring: 2 Engineers 💻 What We’re Looking For: • 4+ years in DevOps, MLOps, LLMOps, or Platform Engineering • Experience deploying GPU/ML inference infrastructure (H100/A100, multi-GPU serving) • Strong Kubernetes & container orchestration experience • Experience with AWS/GCP/Azure • Familiarity with vLLM, sglang, Triton, or inference serving systems 🏆 Ideal Background: • AI/ML infrastructure at scale • Enterprise or regulated environments • High-performance inference systems 🚫 Not Looking For: • Pure SRE backgrounds without ML/GPU serving experience • Cloud-only infrastructure engineers

Proficient

AWS

CI/CD

Good clinical practice (GCP)

Kubernetes

Large language model (LLM)

Microsoft Azure

NVIDIA Triton Inference Server

vLLM

4+ years of experience required

DevOps

MLOps

Platform engineering

Discover your cultural fit with the team

Signalers: 305

User since: Nov 2025

About Cognistack:

At Cognistack, we deliver more than talent—we deliver the future. We specialize in connecting high-growth startups and innovation-driven enterprises with elite talent across AI/ML, core engineering, cloud, cybersecurity, and enterprise technology. Our approach is consultative, agile, and built for scale—designed to help companies grow faster, hire smarter, and build transformational teams. Whether you're scaling your engineering org, launching a disruptive SaaS product, or expanding your digital infrastructure, Cognistack provides the recruiting power to help you hire at the speed of innovation.

mission:

To empower innovative companies by connecting them with top-tier technology talent through an agile, consultative approach that builds transformational teams at the speed of innovation.

Job benefits for full-time members:

Reputation:

(3)

Jobs posted: 11

Candidate review speed: ~16 hours

Signalers: 311

www.cognistack.co/

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