DevOps & Reliability Engineer – Research to Production

Who are we?

Webiks builds data-driven software and AI systems for defense, government and commercial clients, spanning GenAI, machine learning, data platforms and large-scale web systems. Our project teams combine developers, DevOps, Data Scientists, Product and UX.

You’ll join a team that takes AI and data capabilities from research to production, in both open cloud environments and closed, air-gapped operational networks.

Who are you?

You’ve worked on both open and closed systems, and you know what changes when there’s no internet.

You can take a researcher’s experiment and turn it into something reproducible, monitored and deployable anywhere.

You’d rather work inside a dev team than in an ops silo, and you’d rather spot problems in a dashboard than hear about them from users.

You use AI tools daily, and you know when not to trust them.

What you’ll do?

• Build the research-to-production path: reproducible environments, versioning and deployment pipelines.
• Deploy to open and air-gapped networks, including offline packaging and internal registries.
• Own infrastructure as code across cloud and on-prem Kubernetes.
• Build observability, CI/CD and release safety.
• Support GPU workloads and AI serving.
• Lead security hardening, backup and DR, and incident postmortems.

Requirements:

• 4+ years in DevOps, SRE or Platform Engineering.
• Experience in both cloud and air-gapped operational environments.
• Strong Kubernetes, Linux, IaC (Terraform/Helm/Ansible) and CI/CD.
• Python and Bash scripting.
• Security clearance, or eligibility to obtain one.

Nice to have:

• MLOps and GPU/AI inference experience.
• Background in defense or mission-critical systems.