DevSecOps Engineer

Field AI is 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.

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.

• 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.

• 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