DevOps Engineer

⚙️ DevOps Engineer | Remote | UK Hours

We're a fast-scaling AI startup delivering agentic and LLM-based solutions for real-world problems. As our projects grow, we need infrastructure that's reliable, scalable — and cost-effective.

We’re looking for a hands-on DevOps Engineer to help us scale confidently, automate relentlessly, and optimise continuously. If you’re excited about infrastructure-as-code, cloud-native tooling, and supporting next-gen AI systems in production — this is your role.

🔍 What You’ll Be Doing

• Design and manage CI/CD pipelines using Jenkins and GitHub Actions.
• Provision, scale, and monitor infrastructure using Terraform, with a strong IaC-first mindset.
• Deploy containerised applications to Kubernetes and OpenShift clusters across Azure and AWS.
• Package and scale AI/ML workloads, especially agentic systems and LLM-backed applications.
• Implement best practices for cost monitoring and optimisation in cloud deployments.
• Ensure high system availability, security, and performance using observability and logging tools.
• Collaborate with developers, ML engineers, and QA teams to streamline release workflows and environment consistency.
• Contribute to DevSecOps practices, backup strategies, and infrastructure documentation.

✅ What We’re Looking For

• 2+ years in a DevOps or Infrastructure Engineering role.
• Proven hands-on experience with:
• CI/CD (Jenkins, GitHub Actions)
• Kubernetes and OpenShift
• Terraform (must-have)
• Azure and AWS cloud platforms
• Knowledge of cost optimisation strategies (e.g. autoscaling, spot instances, cost tracking tools).
• Familiarity with packaging and deploying AI/ML workloads, particularly LLMs and vector-based apps.
• Comfortable with containerisation, Git workflows, and scripting (Bash, Python, etc.).
• Exposure to observability tools like Prometheus, Grafana, Datadog, or ELK.
• A proactive, detail-oriented approach with strong documentation and communication skills.
• Comfortable working with JIRA for tickets and sprint rituals.

🌟 Why Join Us?

• Join a team pushing the boundaries of agentic and responsible AI.
• Work in a fast-paced, autonomy-driven environment with modern tools and real impact.
• Help shape how advanced AI systems are built, scaled, and operated in production

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