Senior Cloud Infrastructure Engineer
Gatik AI · Santa Clara, CA
Posted about 3 months ago · $180,000- $240,000
or apply directly on Gatik AI's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 81 days Gatik AI's roles stay open a median of 82 days
- Reposted
- No
- Salary listed
- Yes 75% of Gatik AI's roles list one
- Ghost-job risk at Gatik AI
- high 61 stale, 0 reposted of 67 open
- Hiring momentum
- 78 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-24
Measured from postings appearing on and disappearing from Gatik AI's own greenhouse board since 2026-08-03. Full hiring picture for Gatik AI.
About this role
As a Senior Cloud Infrastructure Engineer at Gatik, you will architect and manage the compute and data infrastructure that supports the company's autonomous driving technology. Your responsibilities include optimizing Kubernetes clusters for GPU workloads, building data pipelines, and implementing CI/CD workflows to enhance the efficiency of model training and deployment. You will also collaborate with researchers to ensure the scalability and performance of AI models in production environments.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Gatik AI as an employer.
What you need
- 5+ years in Cloud Infrastructure, DevOps, or MLOps supporting high-scale compute environments
- Deep expertise in Kubernetes, Helm, and container orchestration
- Strong background in Apache Airflow, Argo Workflows, MLFlow, and Terraform
- Practical experience supporting frameworks like Ray and PyTorch Distributed
- Proficiency in Python, Bash scripting, and a solid understanding of IAM/RBAC
Nice to have
- Deep understanding of FSDP and DeepSpeed
- Experience building Agentic Workflows (LangGraph, AutoGen) for infrastructure automation or data curation
- Familiarity with Model Context Protocol (MCP) to connect AI agents with infrastructure tools
What you get
- Salary Range - $180,000- $240,000
Worth weighing
- Onsite work required 5 days a week in Santa Clara, CA
- Role involves working with advanced AI and cloud technologies, which may require continuous learning and adaptation
- The focus on autonomous technology may involve navigating regulatory and safety challenges
Summarised from Gatik AI's posting. Read the full original.
Listed by Gatik AI on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.
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