DevOps Engineer Equity at AI infrastructure startup

Dev Ops Engineer

Company

Description:

Fast-growing AI infrastructure startup

Job Description: As a Dev Ops 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

• 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.

• 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 Git Hub Actions or Git Lab 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.

• 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.

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1. Visit our website
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2. Click 'Talk to Jack'.
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3. Talk to Jack so he can understand your experience and ambitions.
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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.