Jobs · Engineering · California

Senior Devops Engineer

Mytra · Brisbane, CA · 4 days ago
On-siteEngineeringFull-time

About the role

We are looking for a DevOps Engineer to take ownership of the infrastructure that powers our site and robotics platform, enabling our engineering teams to deliver with speed, reliability, and confidence.

Responsibilities

  • Own and evolve our CI/CD pipelines (primarily GitHub Actions) to support rapid iteration and reliable deployment.
  • Develop and maintain containerized workflows using Docker and orchestrate deployments in Kubernetes.
  • Implement Infrastructure as Code (IaC) best practices to standardize and scale deployments across our site and robot fleet.
  • Collaborate with the firmware team to understand the in-house stack and build deployment tools that bridge hardware and software.
  • Collaborate/interact with wider infrastructure team to ensure consistency and best practices, when applicable.
  • Ensure reliability, monitoring, and observability of deployed systems, with a strong focus on safety and reproducibility.
  • Continuously improve developer productivity by streamlining build, test, and release processes.
  • Drive adoption of cloud-native technologies and ensure security and compliance within the DevOps lifecycle.

Requirements

  • 5+ years of experience in DevOps, Infrastructure, or Site Reliability Engineering roles.
  • Experience with GitHub Actions, Docker, Kubernetes, and modern IaC tools (e.g., Terraform, Helm, Ansible).
  • Experience building robust CI/CD systems for complex software stacks.
  • Comfort working in a hybrid environment where cloud services, on-premises compute and on-device deployments need to integrate seamlessly.
  • A collaborative mindset and strong communication skills—you’ll work closely with firmware, software, and ML engineers.
  • Passion for automation, reliability, and empowering engineering teams.
  • Experience with cloud providers such as Google Cloud or AWS for CI/CD purposes (nice to have).

Qualifications

  • Nice to have: Experience with or interest in MLOps for machine learning pipelines (training, validation, and deployment of models at scale).
  • Background in robotics, IoT, or hardware-software integrated systems.
  • Familiarity with edge computing or distributed systems.
  • Experience with Salt or equivalent configuration management tools.
  • Kubernetes experience around external devices, various deployment strategies, and debugging techniques.

Skills

  • Automation
  • Reliability
  • Empowering engineering teams

Benefits

  • Competitive compensation and equity grants at a high-growth company backed by top-tier VCs
  • Full-subsidized health coverage, including medical (baseline plans), dental, and vision for employees and dependents
  • 401(k) plans and employer-subsidized life insurance
  • Generous PTO and company-paid holidays, including one week over the winter break so everyone can recharge together
  • Voluntary pet insurance, Voluntary Life Insurance, Accident, Critical Illness, and Hospital Indemnity
  • Commuter benefits, including a up to $150 monthly commuter benefit
  • Lively, modern combined office and lab space where we rapidly iterate through design, build, and test phases
  • Onsite gym and showers at headquarters

Pay

Compensation for this position will be set based on the candidate's experience level and location. The posted salary band is applicable only to the San Francisco Bay Area and is subject to change. The Pay Range For This Role Is 190,000 - 200,000 USD per year(Mytra, Inc.).

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