onsite
Staff AI Security & DevSecOps Engineer - Alvaria
Security Engineer
Senior engineer responsible for securing autonomous and generative AI workloads, implementing DevSecOps pipelines, and hardening cloud-native infrastructure using Python, Kubernetes, AWS, and CI/CD best practices.
About the role
Key Responsibilities
- Design, implement, and maintain secure CI/CD pipelines for AI model training, deployment, and monitoring.
- Develop threat models and security controls specific to generative and autonomous AI systems.
- Harden cloud-native infrastructure on AWS, including Kubernetes clusters, IAM policies, and network configurations.
- Automate security testing (static analysis, container scanning, runtime protection) and integrate results into development workflows.
- Collaborate with data scientists, ML engineers, and product teams to embed security into AI product lifecycles.
Requirements
- 5+ years of experience in DevSecOps or security engineering for cloud-native environments.
- Strong proficiency in Python for automation and security tooling.
- Hands‑on experience with Kubernetes, AWS services, and Infrastructure‑as‑Code (e.g., Terraform, CloudFormation).
- Demonstrated knowledge of AI/ML security challenges, including model poisoning, data leakage, and prompt injection.
- Experience building and operating CI/CD pipelines with tools such as Jenkins, GitHub Actions, or GitLab CI.
Skills
pythonkubernetesawscicdgenerative ai