DevOps – Research to Production

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.