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. About the Job 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

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