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