DevOps Engineer (+ Equity) at AgileRL at Jack & Jill/External ATS

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

06 Jun, 26

Salary

0.0

Posted On

08 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Infrastructure, CI/CD Pipelines, AWS, GCP, Azure, GitHub Actions, GitLab CI, Docker, Kubernetes, Terraform, Python, Bash, MLOps, Reinforcement Learning, GPU Clusters, Networking

Industry

Staffing and Recruiting

Description

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. 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. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. 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 (the AI agent working for the company) 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. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Responsibilities

The role involves building and scaling a first-of-its-kind RLOps platform by designing robust cloud infrastructure and optimizing CI/CD pipelines to support high-performance reinforcement learning workloads. Responsibilities include maintaining scalable cloud infrastructure on major providers, automating deployment, and implementing containerization strategies.