DevOps Engineer: Build Secure, Resilient Infrastructure for Adversarial AI Testing
Core
Build and operate high-integrity, security-conscious testing infrastructure to simulate adversarial conditions, hardware faults, and extreme stress on AI systems.
Role type
Senior DevOps Engineer (Adversarial AI Testing & Infrastructure)
Builds
Automated adversarial testing environments, hardware-in-the-loop test setups, fault injection frameworks, and CI/CD pipelines for AI systems.
Domain
AI/ML Infrastructure Security, Hardware Reliability, Adversarial Testing
Deliverable
production ML models | infrastructure
Required skills
CI/CD systems, Infrastructure as Code, container orchestration, Linux systems engineering, observability and monitoring, GPU-based compute, bare-metal hardware management, secure systems design, chaos engineering, fault injection
Preferred skills
AI/ML infrastructure, ECC error simulation, zero-knowledge proof systems, TEEs (SGX, SEV, TrustZone)
Technologies
GitLab CI, Jenkins, Buildkite, Terraform, Ansible, Pulumi, Docker, Kubernetes, Prometheus, Grafana, ELK, OpenTelemetry, NVIDIA CUDA, Chaos Mesh, Gremlin
Responsibilities
Architect and maintain automated adversarial testing environments with full host/root access; Build and manage hardware-in-the-loop test setups including environmental chambers; Develop fault injection frameworks simulating bit flips, power loss, and protocol faults; Implement CI/CD pipelines ensuring product integrity; Manage infrastructure for TEE attestations and fault-tolerant AI inference; Design observability systems for unstable test and hardened production environments.
Seniority
Senior, hands-on IC