Infrastructure Security Engineer

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

The Infrastructure Security Engineer will secure the cloud infrastructure and deployment platforms powering FieldAI’s autonomous robotic systems. You will work closely with engineering teams to design, assess, and improve the security of large-scale distributed systems operating in production environments. This is a hands-on engineering role focused on Kubernetes security, cloud-native infrastructure, CI/CD systems, software supply chains, identity and access management, and production deployment platforms. Your work will directly impact the reliability, resilience, and security of critical infrastructure supporting real-world autonomous system operations.

• Design and improve the security architecture of cloud-native infrastructure and Kubernetes environments
• Secure CI/CD systems, software supply chains, build pipelines, and deployment workflows
• Improve identity, authentication, secrets management, and access control across production systems
• Harden Kubernetes clusters, containerized workloads, and runtime environments against modern attack vectors
• Conduct threat modeling and security reviews across infrastructure and operational systems
• Partner closely with engineering teams to integrate practical security controls into development and operational workflows
• Investigate vulnerabilities affecting production infrastructure and help drive remediation and resilience improvements
• Help define security standards and best practices for large-scale distributed systems and operational infrastructure

• Bachelor’s degree in Computer Science, Computer Engineering, Cybersecurity, or a related technical field
• 5+ years of experience in infrastructure security, cloud security, platform security, SRE, or related domains
• Strong software engineering, systems engineering, and networking fundamentals
• Experience securing cloud infrastructure and distributed production systems
• Experience with Kubernetes, containerized environments, CI/CD systems, and infrastructure automation
• Familiarity with identity and access management, secrets management, authentication systems, and secure infrastructure design
• Experience with threat modeling, security architecture reviews, vulnerability management, or adversarial security assessments
• Strong collaboration and communication skills with the ability to work cross-functionally across infrastructure and engineering teams
• Practical engineering judgment and the ability to balance security, operational reliability, scalability, and development velocity

• Experience securing large-scale distributed or cloud-native systems
• Familiarity with software supply chain security, artifact signing, or build provenance systems
• Experience with runtime security, Kubernetes security, or production infrastructure hardening
• Background in platform engineering, SRE, infrastructure engineering, or cloud-native operations
• Experience with offensive security, penetration testing, or adversarial infrastructure assessments
• Experience supporting operationally critical or mission-critical production environments

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.