Senior AI DevSecOps Engineer

About the role

We are seeking an experienced Senior AI DevSecOps Engineer to lead the secure and compliant deployment of large language models (LLMs) and AI systems across our platform.

Key responsibilities

• Design and implement secure deployment pipelines for LLMs using ArgoCD, Kubernetes, and GitHub.
• Identify and mitigate AI‑specific security threats such as prompt injection and model poisoning.
• Automate security controls, monitoring, and compliance checks with Golang and Python.
• Manage AI data storage infrastructure including Cassandra, PostgreSQL, and Redis.
• Ensure security and compliance of production LLM inference environments.
• Navigate data protection requirements across multi‑jurisdictional operating contexts.
• Collaborate with AI engineers, DevOps, and security teams in a distributed organization.

Required profile

• Proven DevSecOps experience focused on AI/ML systems.
• Strong programming skills in Golang and Python.
• Hands‑on experience with ArgoCD, Kubernetes, and GitHub for secure AI deployment.
• Deep understanding of AI‑specific security threats (prompt injection, model poisoning, adversarial attacks).
• Working knowledge of Cassandra, PostgreSQL, and Redis.
• Demonstrated experience deploying LLMs in production.
• Familiarity with data‑privacy regulations such as GDPR (advantage).

Required skills

• Golang
• Python
• ArgoCD
• Kubernetes
• GitHub
• Cassandra
• PostgreSQL
• Redis

What we offer

• Fast‑paced, high‑ownership environment.
• Meaningful projects with real‑world impact.
• Collaboration with a skilled, forward‑thinking team.
• Influence over architecture and product direction as the company scales.