DevOps Engineer (+ Equity) at Fast-growing AI infrastructure startup

Posted 6 days 2 hours ago by Jack & Jill/External ATS

£60,000 - £80,000 Annual
Permanent
Full Time
Other
London, United Kingdom
Job Description
DevOps Engineer

Company Description: Fast-growing AI infrastructure startup

Job Description: As a DevOps Engineer, you will build and scale a first of its kind RLOps platform. You will design robust cloud infrastructure and CI/CD pipelines to support high-performance reinforcement learning workloads. This role is pivotal in enabling businesses to deploy sophisticated AI models at scale using state of the art open-source frameworks and enterprise tools.

Location: London, UK

Why this role is remarkable:
  • Work at the absolute forefront of reinforcement learning innovation, building the infrastructure that powers next generation AI reasoning and autonomous systems.

  • Join a well funded startup backed by top tier investors, offering significant equity and the chance to shape a culture of excellence and collaboration.

  • Enjoy high autonomy with flexible working policies, including a 6 month remote option and a dedicated annual learning budget for professional growth.

What you will do:
  • Design and maintain scalable cloud infrastructure on AWS, GCP, or Azure to support distributed machine learning training environments and GPU clusters.

  • Build and optimize CI/CD pipelines using GitHub Actions or GitLab CI to automate testing and deployment for both open-source and enterprise platforms.

  • Implement containerization and orchestration strategies using Docker and Kubernetes, alongside Infrastructure as Code solutions like Terraform to ensure reproducible environments.

The ideal candidate:
  • Professional experience managing compute intensive workloads and ML/AI services within major cloud platforms like AWS, GCP, or Azure.

  • Strong proficiency in container orchestration (Kubernetes) and Infrastructure as Code (Terraform) to manage high-performance computing resources.

  • Solid scripting skills in Python or Bash with a deep understanding of MLOps practices, monitoring tools, and secure networking for distributed systems.

Next steps:

Step 1. Visit our website.
Step 2. Click 'Talk to Jack'.
Step 3. Talk to Jack so he can understand your experience and ambitions.
Step 4. Jack will make sure Jill considers you for this role.
Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
Step 6. If not, Jack will find you excellent alternatives. All for free.