Senior Infrastructure Engineer (Remote - California)

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  • Company Jobgether
  • Employment Full-time
  • Location 🇺🇸 United States, California
  • Submitted Posted 1 day ago - Updated 10 hours ago

About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Infrastructure Engineer in California, USA.

This is a hands-on engineering role focused on building, automating, and scaling bare-metal infrastructure to support cutting-edge AI workloads. You’ll be part of a team building a custom cloud from the ground up, taking ownership of provisioning and deployment pipelines for Kubernetes clusters across multiple data centers. If you're passionate about infrastructure, love working close to the hardware, and enjoy designing repeatable systems for modern AI compute, this is a rare opportunity to make a lasting impact in a fast-evolving tech landscape.

Accountabilities:

  • Deploy and maintain Kubernetes clusters on bare-metal hardware in data centers.
  • Build tools for provisioning systems (DHCP, DNS, PXE/iPXE, HTTPBoot, Talos Linux).
  • Automate infrastructure processes using scripting languages (Go, Python, Bash).
  • Collaborate with data center operations and network teams to bring new sites online.
  • Manage configurations using GitOps practices with tools like Flux and Terraform.
  • Create and maintain documentation, runbooks, and infrastructure tooling to ensure reliability and scalability.

Requirements

  • Strong experience working with Linux and Kubernetes systems in a hands-on capacity.
  • Proficiency with scripting and automation (Go, Python, or Bash).
  • Familiarity with infrastructure-as-code tools (Terraform, Kustomize, Flux).
  • Solid understanding of networking concepts including IPAM, VLANs, DHCP, and DNS.
  • Working knowledge of storage systems (NFS, RAID, block/object storage).
  • Ownership mindset with the ability to debug and solve low-level system issues.
  • Bonus: Experience with Talos Linux, Kubernetes bootstrapping, or data center provisioning.

Benefits

  • Competitive base salary between $132,100 and $279,800 (based on experience and qualifications)
  • Equity participation in the company
  • Comprehensive healthcare and wellness benefits
  • Opportunities to work at the forefront of AI infrastructure innovation
  • Dynamic, fast-paced environment with high-growth potential
  • Collaborative culture emphasizing humility, curiosity, and creativity

Jobgether hiring process disclaimer


This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.


Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.


Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.


If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.


Thank you for your interest!

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