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Who are We?
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.
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.
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