DevSecOps Engineer

Who are We? Field AIis transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job As a Senior DevSecOps Engineer, you will operate at the intersection of AI infrastructure, edge computing, and defensive security. You won't just respond to alerts; you will engineer the hardened systems that make those alerts actionable, automated, and resilient. You will treat security as a first-class reliability feature, ensuring that our robotic fleet and AI training environments scale securely without manual intervention. What You’ll Get To Do Security Engineering & Automation: Design and build production-grade software to automate security tasks (e.g., automated certificate rotation, secret management, or self-healing network policies for autonomous systems). Reliability for Mission-Critical Services: Own the service level objectives/indicators, and error budgets for core security infrastructure, including identity management, encrypted communication channels, and high-availability inference services. Infrastructure as Code (IaC): Architect and manage secure-by-default infrastructure for both cloud and edge deployments to ensure repeatable and audited systems. Incident Response & Forensic Analysis: Lead technical incident response for both security breaches and system outages, focusing on root cause analysis and code-based fixes to harden the UNIX/Linux environment. Shift-Left Integration: Develop and maintain automated security scanning (SAST/SCA/secret detection) within CI/CD pipelines to empower developers to ship code securely to the field. What You Have High-Performance Programming: 5+ years of experience writing production-quality code in C++ and Python. Distributed Systems Mastery: Deep understanding of data structures, algorithms, and the complexities of large-scale distributed systems and real-time data processing. Security Domain Expertise: Advanced knowledge of encryption (TLS/PKI), authentication protocols (OAuth/SAML), and container/workload hardening. Observability Stack: Hands-on experience building custom telemetry, dashboards, and alerting for fleet-wide health and security monitoring. System Internals: Expert-level grasp of UNIX / Linux system hardening, networking protocols (TCP/IP, DNS), and securing high-performance compute hardware. The Extras That Set You Apart Hands-on experience designing or operating secure OTA/update pipelines, including artifact signing, verification, and rollback safety Strong background in infrastructure security at scale, including Kubernetes, container runtimes, and workload isolation in high-risk environments Experience building or hardening device identity and fleet authentication systems, including certificate lifecycle management and device attestation Familiarity with robotics middleware or real-time systems (e.g., ROS/ROS2, DDS, or similar distributed communication frameworks) Experience applying zero-trust principles to distributed systems spanning cloud and edge environments Experience with adversarial testing or security research, particularly in distributed or infrastructure-level systems Strong understanding of software supply chain security, including SBOMs, build provenance, and secure artifact pipelines Compensation and Benefits Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional…