DevOps Engineer

**DevOps / AI Engineer \| Global Enterprise Client** 3 days on site I’m working with a **leading enterprise organisation** looking for a skilled **DevOps / AI Engineer** to join their growing technology team. This is a fantastic opportunity for someone who enjoys working across **DevOps, automation, and emerging AI/GenAI technologies** within a secure, regulated environment. 💼 **Role Overview** You’ll play a key role in delivering end\-to\-end software lifecycle solutions—spanning **CI/CD, Infrastructure as Code, system reliability** , and **AI\-enabled engineering practices** . 🔧 **Key Responsibilities** * Design, implement, and maintain CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps) * Automate infrastructure using **Terraform and Ansible** * Ensure high availability, scalability, and security of systems * Collaborate with Dev, QA, and Ops teams to streamline releases * Troubleshoot build, deployment, and infrastructure issues * Maintain configuration management and documentation (Jira, Confluence) * Ensure compliance with enterprise controls and regulatory standards * Work independently to deliver high\-quality outcomes 🤖 **AI / GenAI Focus** * Enable and integrate **GenAI/LLM tools** into DevOps workflows (where approved) * Implement guardrails for responsible AI usage (data handling, access control, logging) * Support observability of AI\-enabled systems (latency, cost, quality signals) * Apply best practices around **security, governance, and compliance** in AI usage 🧠 **Core Skills** * Scripting: **Python, Bash, Shell** * CI/CD: **Jenkins, GitLab CI, Azure DevOps** * Containers: **Docker, Kubernetes** * IaC: **Terraform, Ansible** * Source Control: **Git, Bitbucket** * DevSecOps, secrets management, and enterprise compliance * Strong understanding of **LLM concepts** (prompting, embeddings, RAG, limitations) * Experience integrating **GenAI tools/APIs** into engineering workflows ✨ **Nice to Have** * Experience supporting **GenAI platforms in production** (monitoring, cost control, evaluation) 📍 **Experience Required** ✔️ 5–10 years in DevOps / Engineering roles ✔️ Experience in enterprise or regulated environments preferred