DevOps Engineer

DevOps Engineer | Remote

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 OpenShiftclusters 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.
  • Must be Security Cleared or willing to undergo SC clearance
  • 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.
Company
Accelleo
Location
City of London, Greater London, UK
Posted
Company
Accelleo
Location
City of London, Greater London, UK
Posted