Senior DevOps Engineer
Join Skild AI as a Senior DevOps Engineer to build and maintain critical infrastructure for robotics development at scale.
Posted by employer 5 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In this role, the Senior DevOps Engineer at Skild AI is responsible for designing and maintaining the infrastructure that supports the company's robotics development, focusing on build systems and CI/CD pipelines. Key skills include expertise in Bazel/Skylark, cloud infrastructure management, and experience with automated testing frameworks. This position is ideal for seasoned professionals with a strong background in DevOps and a passion for innovative technology in a rapidly growing environment. The role involves close collaboration with engineers across multiple disciplines, emphasizing a hands-on approach to problem-solving.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Skild AI's career page.
- Skild AI has 63 other open roles including Manufacturing Engineering Manager, Senior Electrical Engineer , Operations Program Manager – Data Infrastructure - India.
- 6527 active Python roles on Joblaze right now.
- 1134 active Terraform roles on Joblaze right now.
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- Salary band is below the typical range for DevOps/SRE roles (median ~$165,000).
- Pays more than 8% of the 3228 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- What's the salary range?
- Skild AI lists $100,000–$300,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Senior DevOps Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Ansible, Bazel, Docker, Jenkins, Linux, Python.
- What seniority level is this role?
- Skild AI targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior DevOps Engineer role at Skild AI.
From the original posting
Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We are looking for a DevOps Engineer to design, build, and maintain the infrastructure that powers Skild AI’s robotics development at scale. You will own the systems that let our engineering teams move fast — from build tooling and CI/CD pipelines to cross-platform hardware-in-the-loop testing infrastructure. This is a foundational role: you will be setting up and scaling critical systems in a company that is growing quickly, working directly alongside machine learning, robotics software, and hardware engineers to keep our development cycles fast and our deployments reliable.
Responsibilities
- Own and scale Bazel/Skylark build infrastructure from scratch, including custom rules, toolchains, and remote caching across a multi-language codebase.
- Build and maintain CI/CD pipelines for automated software and hardware-in-the-loop (SIL/HIL) testing using Jenkins or equivalent.
- Develop cross-compilation toolchains and system library packages targeting ARM/aarch64 embedded Linux platforms and integrate them into the build system.
- Manage cloud and on-premise infrastructure (AWS/GCP/Azure) supporting model training, simulation, and deployment.
- Maintain infrastructure-as-code (Terraform, Ansible) and own developer environment tooling to accelerate engineering iteration.
- Collaborate with ML, robotics software, and hardware engineers to resolve infrastructure bottlenecks and define tooling roadmaps.
Preferred Qualifications
- BS, MS, or higher in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5+ years in DevOps, infrastructure engineering, or build/release engineering.
- Hands-on experience owning a Bazel/Skylark build system from scratch at a 100–500 person company, including custom rules, platforms, and toolchain configuration.
- Experience packaging system libraries for cross-compilation to ARM/aarch64 embedded Linux platforms.
- Proven track record building automated SIL/HIL test pipelines (Jenkins or equivalent) for robotics or embedded systems.
- Strong Python and Bash scripting; solid Linux internals, Docker, and cross-compilation knowledge.