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- Tasks: Design and scale innovative cloud infrastructure for cutting-edge AI systems.
- Company: Fast-growing AI infrastructure startup with a collaborative culture.
- Benefits: Equity options, flexible remote work, and a dedicated learning budget.
- Why this job: Join the forefront of AI innovation and shape the future of technology.
- Qualifications: Experience with cloud platforms and strong skills in container orchestration.
- Other info: Exciting entry-level role with significant career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Fastâgrowing AI infrastructure startup seeking a DevOps Engineer to build and scale a firstâofâitsâkind RLOps platform. This role involves designing robust cloud infrastructure and CI/CD pipelines to support highâperformance reinforcement learning workloads.
Location: London, UK.
Why this role is remarkable:
- Work at the absolute forefront of reinforcement learning innovation, building the infrastructure that powers nextâgeneration AI reasoning and autonomous systems.
- Join a wellâfunded startup backed by topâtier investors, offering significant equity and the chance to shape a culture of excellence and collaboration.
- Enjoy high autonomy with flexible working policies, including a 6âmonth 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 machineâlearning training environments and GPU clusters.
- Build and optimize CI/CD pipelines using GitHub Actions or GitLab CI to automate testing and deployment for both openâsource 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 computeâintensive 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 highâperformance computing resources.
- Solid scripting skills in Python or Bash with a deep understanding of MLOps practices, monitoring tools, and secure networking for distributed systems.
Seniority level: Entry level
Employment type: Fullâtime
Job function: Engineering and Information Technology
Industries: Technology, Information and Internet
Next steps: Applications are accepted through our recruiting platform. Please visit our website and choose "Talk to Jack" to begin the process.
DevOps Engineer (+ Equity) at Fast-growing AI infrastructure startup in London employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land DevOps Engineer (+ Equity) at Fast-growing AI infrastructure startup in London
â¨Tip Number 1
Get to know the company inside out! Research their projects, values, and culture. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.
â¨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. A friendly chat can sometimes lead to a referral, which is a great way to get your foot in the door.
â¨Tip Number 3
Prepare for technical interviews by brushing up on your skills. Practice coding challenges and be ready to discuss your past projects. Confidence in your abilities can really set you apart from other candidates.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, you can easily find more info about the role and the team you'll be working with.
We think you need these skills to ace DevOps Engineer (+ Equity) at Fast-growing AI infrastructure startup in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV highlights your experience with cloud platforms like AWS, GCP, or Azure. We want to see how you've tackled compute-intensive workloads and your skills in container orchestration and Infrastructure as Code.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're excited about working at the forefront of reinforcement learning innovation and how you can contribute to our culture of excellence and collaboration.
Showcase Your Projects: If you've worked on any relevant projects, especially involving CI/CD pipelines or MLOps practices, make sure to mention them. We love seeing practical examples of your skills in action!
Apply Through Our Website: Don't forget to apply through our recruiting platform! Just visit our website and choose 'Talk to Jack' to kick off your application process. We can't wait to hear from you!
How to prepare for a job interview at Jack & Jill
â¨Know Your Tech Stack
Make sure youâre well-versed in the technologies mentioned in the job description, like AWS, GCP, Azure, Docker, and Kubernetes. Brush up on your knowledge of CI/CD pipelines and Infrastructure as Code with Terraform. Being able to discuss these tools confidently will show that you're ready to hit the ground running.
â¨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving machine learning or cloud infrastructure. If you have experience with reinforcement learning or high-performance computing, highlight it! Real-world examples can make a big impact and demonstrate your hands-on skills.
â¨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the company and the role. Ask about their current challenges with cloud infrastructure or how they envision the future of their RLOps platform. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
â¨Demonstrate Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios or technical problems during the interview. Think through your approach to designing scalable systems or optimising CI/CD processes. This will showcase your analytical thinking and ability to handle the demands of a fast-paced startup environment.
