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Cloud Infrastructure Developer Jobs in California

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

Lead Cloud Infrastructure Engineer

Washington, CA · On-site

$60.75 - $81.25/hr

ClifyX is a company in the gaming industry, and they are seeking a Lead Cloud Infrastructure ... DevOps, Integration Engineering roles • Experience with a high-level programming language like:

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

Cloud Infrastructure Engineer

San Mateo, CA · On-site

$122K - $160K/yr

What You'll Do As our Founding Cloud Infrastructure Engineer, you'll design, build, and own the cloud infrastructure that powers zaimler's semantic platform. This isn't a maintenance role. It's a ...

Cloud Infrastructure Engineer

San Mateo, CA · On-site

$122K - $160K/yr

What You'll Do As our Founding Cloud Infrastructure Engineer, you'll design, build, and own the cloud infrastructure that powers zaimler's semantic platform. This isn't a maintenance role. It's a ...

Cloud Infrastructure Engineer

San Mateo, CA · On-site

$122K - $160K/yr

What You'll Do As our Founding Cloud Infrastructure Engineer, you'll design, build, and own the cloud infrastructure that powers zaimler's semantic platform. This isn't a maintenance role. It's a ...

Cloud Infrastructure Engineer

Sunnyvale, CA · On-site

$126K - $165K/yr

Skills & Qualifications * 5+ years of experience in Cloud Infrastructure, Identity & Access Management (IAM), Identity Engineering, or Security Engineering. * Strong knowledge of authentication ...

Cloud Engineering Manager

San Diego, CA · On-site

$59.25 - $79/hr

Drive continuous improvement of cloud infrastructure, DevOps pipelines, and operational processes. * Collaborate with engineering teams on post‑security incident reviews, reliability engineering ...

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Cloud Infrastructure Developer information

What cities in California are hiring for Cloud Infrastructure Developer jobs?

Cities in California with the most Cloud Infrastructure Developer job openings:

Infographic showing various Cloud Infrastructure Developer job openings in California as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

ML & Cloud Infrastructure Engineer

South San Francisco, CA • On-site

$129K - $169K/yr

Full-time

Re-posted 23 days ago


Job description

Gritt is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.
Role: Software - ML & Cloud Infrastructure
Location: SF Bay Area (in-person)
About the role
We're looking for an experienced ML & Cloud Infrastructure Engineer to join our team. As an early member, you will play a pivotal role in architecting scalable cloud infrastructure for our AI and data pipelines. You'll need to thrive in a fast-paced startup environment where you'll wear multiple hats and have a direct impact on our product's evolution. Ideally, you have a proven track record of developing and deploying high-performance ML and cloud pipelines in production, and you're passionate about pushing the boundaries of what's possible in robotics with AI.
What you'll get to work on
  • Develop and deploy scalable AI training and validation pipelines in the cloud.
  • Spin up distributed pipelines for data ingestion, pre-processing, training and evaluation.
  • Deploy monitoring and CI/CD pipelines.
  • Enable large-scale evaluation of AI models via cloud-based metrics.
  • Enable large-scale evaluation of autonomy software and models via simulations in the cloud.
  • Optimize performance, I/O and GPU utilization.
  • Build tooling and dashboards for rapid experimentation, orchestration and visualization.
  • Work with other teams to integrate cloud tooling into workflows.

What we look for
  • Degree in computer science or related engineering disciplines (or equivalent experience).
  • 4+ years of experience deploying high-performance ML pipelines in production.
  • Proficient in Python and comfortable with C++/Go.
  • Experience with ML frameworks like PyTorch.
  • Experience with IO and data-loading workflows, including formats like Parquet, HDF5, TFRecord etc.
  • Experience with deploying on cloud platforms like AWS, GCP or Azure.
  • Experience with tooling like Docker, Kubernetes, and Airflow.
  • Should be comfortable taking ownership of tasks with light supervision.
  • Must have excellent problem-solving skills.
  • Legally authorized to work in the United States.