Infrastructure Engineer
Posted
Aug 10, 2026 (Aug 10)
Seniority
Senior
Work Model
On-site
Type
Not Specified
Category
Salary
Not specified
Skills
Description
Senior IT & Infrastructure Engineer — Stealth Hardware/Robotics Startup (Bay Area, CA) Our client is an early-stage hardware and robotics engineering company building advanced sensing and positioning technology. Their engineering org needs someone to own the infrastructure that keeps it running. This is a hands-on, high-ownership Infra/DevOps role , not a helpdesk job. You'll be the person engineers come to when compute, CI/CD, monitoring, or lab systems need to work — and you'll partner closely with an international DevOps counterpart on shared infrastructure standards. What you'll own: Infrastructure & Ops — Linux hosts, on-site lab equipment, Jenkins servers, SaltStack config management, NFS, Docker/KVM virtualization, backup & DR CI/CD & Build Systems — GitHub + Jenkins pipelines for firmware and host images, quality gates (SonarScanner, Pytest), hardware-in-the-loop (HITL) test integration Monitoring & Alerting — Grafana observability across infra and test environments; alerting on power states, UPS, disk, and infra faults AWS & Cloud — org-wide account management, security audits, cost reporting Internal IT — tier-1 support, SaaS tooling (1Password, GitHub, GitLab, Cursor), account provisioning, vendor/compliance coordination You're a strong fit if you have: 5+ years in IT ops, sysadmin, DevOps, or infrastructure engineering — spanning both IT and engineering systems Strong Linux/Bash administration + config management (SaltStack, Ansible, or similar) Hands-on Docker + KVM virtualization Production experience running CI/CD in GitHub and Jenkins Production Grafana monitoring/alerting experience Cloud administration at the org level (AWS preferred) Comfort supporting a technical engineering team directly (tier-1) Based in the Bay Area, able to work on-site 3+ days/week Bonus points for: Firmware/embedded team support, HITL test integration 5G/LTE telecom familiarity Lab equipment, test rigs, or robotics infra experience Early-stage/high-growth startup background SonarScanner/Pytest or Elasticsearch exposure
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