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À propos
What You'll Do:
Own and improve CI/CD pipelines for web services and applications (Node.js, React) Design and maintain release processes that ensure safe, reliable deployments Build and enforce testing and validation workflows to catch issues before production Manage and scale containerized infrastructure (Docker, Kubernetes) in AWS Monitor system performance, reliability, and uptime across production environments Partner with full-stack engineers to improve deployment velocity and system stability Debug and resolve production issues across application, infrastructure, and deployment layers Improve observability, logging, and alerting to proactively detect failures What You Bring:
3-8 years of experience in DevOps, infrastructure, or production engineering roles Strong experience with AWS and containerized environments (Docker, Kubernetes) Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions or similar) Familiarity with modern web stacks (Node.js, TypeScript, React) Experience managing production systems and debugging real-world issues Understanding of testing strategies for release reliability and system validation Strong ownership mindset with a focus on system stability and quality Ability to work cross-functionally with engineering teams What Sets You Apart:
Experience owning release processes and production readiness for web applications Experience improving system reliability, uptime, and deployment safety at scale Familiarity with MongoDB or similar databases in production environments Experience building internal tooling to improve developer workflows Experience in fast-paced startup environments
$125,000 - $170,000 a year
Our salary range is highly competitive with the market, but we take into consideration an individual's background and experience in determining final salary. Base pay offered may vary depending on geographic location, job-related knowledge, skills, and experience.
In addition to competitive compensation, FieldAI offers comprehensive benefits, equity participation, and the opportunity to contribute to cutting-edge advancements in AI and robotics.
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Compétences linguistiques
- English
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