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- Tasks: Build and scale a groundbreaking RLOps platform for AI innovation.
- Company: Fast-growing AI infrastructure startup with top-tier investors.
- Benefits: Equity options, flexible remote work, and a dedicated learning budget.
- Why this job: Join the forefront of AI technology and shape the future of autonomous systems.
- Qualifications: Experience with cloud platforms, container orchestration, and MLOps practices.
- Other info: High autonomy in a collaborative culture with excellent growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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.
DevOps Engineer (+ Equity) at Fast-growing AI infrastructure startup in London employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer (+ Equity) at Fast-growing AI infrastructure startup in London
✨Tip Number 1
Get to know the company inside out! Research their projects, values, and culture. This way, when you chat with Jack, you can show off your enthusiasm and how you fit into their vision.
✨Tip Number 2
Practice your pitch! Be ready to talk about your experience with cloud infrastructure and CI/CD pipelines. Highlight specific projects where you've made an impact, so Jack can see your potential.
✨Tip Number 3
Don’t shy away from asking questions during your chat with Jack. It shows you're genuinely interested and helps you gauge if the role is right for you. Plus, it gives you a chance to stand out!
✨Tip Number 4
Follow up after your conversation! A quick thank-you note to Jack can keep you top of mind. Plus, it shows your professionalism and eagerness for the role. Remember, we’re rooting for you!
We think you need these skills to ace DevOps Engineer (+ Equity) at Fast-growing AI infrastructure startup in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with cloud platforms like AWS, GCP, or Azure. We want to see how you've tackled compute-intensive workloads and what tools you've used to manage them.
Be Specific About Your Projects: When describing your past work, be specific about the projects you've worked on. Tell us about the CI/CD pipelines you built or the container orchestration strategies you implemented. We love details!
Tailor Your Application: Don’t just send a generic application. Tailor your CV and cover letter to reflect the skills and experiences that match our job description. We appreciate when candidates take the time to connect their background to our needs.
Apply Through Our Website: Remember to apply through our website! It’s the best way for us to keep track of your application and ensure it gets to the right people. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Stack
Make sure you’re well-versed in the specific technologies mentioned in the job description, like AWS, GCP, Azure, Docker, Kubernetes, and Terraform. Brush up on your knowledge of CI/CD pipelines and be ready to discuss how you've implemented these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world scenarios where you've tackled complex challenges in cloud infrastructure or MLOps. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your critical thinking and troubleshooting abilities.
✨Demonstrate Your Passion for AI
Since this role is at the forefront of AI innovation, express your enthusiasm for reinforcement learning and AI technologies. Share any personal projects or research you've done in this area to show that you're genuinely invested in the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s culture, the team you'll be working with, and their vision for the future of AI infrastructure. This not only shows your interest but also helps you determine if the company aligns with your values and career goals.
