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For Companies At a Glance
- Tasks: Build and optimise cutting-edge infrastructure for AI-driven projects.
- Company: Join a dynamic team with experience from top tech companies.
- Benefits: Competitive salary up to £160K, equity, and flexible remote work.
- Why this job: Be a founding engineer and shape the future of enterprise superintelligence.
- Qualifications: Experience with MLOps, DevOps tooling, and cloud platforms.
- Other info: Exciting growth opportunities in a collaborative environment.
The predicted salary is between 48000 - 72000 £ per year.
We're building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them.
We're a team of 20 with experience from companies like Google DeepMind, Spotify, Sourcegraph & Meta.
What We Are Looking For
- MLOps & DevOps Tooling: Proven track record of working with systems such as ArgoCD, Kargo, Jenkins, Vertex AI, SageMaker, and similar platforms.
- ML Infrastructure Experience: Proven track record of working on ML research and production infrastructure.
- Infrastructure as Code: Knowledge of IaC tools such as Terraform and Helm.
- Cloud Expertise: Excellent familiarity with at least one of the hyperscaler clouds (GCP, AWS, Azure), and familiarity with the others.
We're also hiring across other roles too.
Founding Infrastructure Engineer in London employer: Stealth
Contact Detail:
Stealth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Infrastructure Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at companies you admire. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects with Terraform, Helm, or any other tools mentioned in the job description. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of ML infrastructure and cloud platforms. We love candidates who can discuss their experience with GCP or Jenkins confidently!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you're genuinely interested in joining our team.
We think you need these skills to ace Founding Infrastructure Engineer in London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with the tools we love, like Terraform, GCP, and Jenkins. We want to see how your skills align with what we're building!
Be Authentic: Let your personality shine through in your application! We’re a small team, and we value authenticity. Share your passion for MLOps and DevOps tooling, and why you want to join us at StudySmarter.
Tailor Your Application: Don’t just send a generic application. Tailor it to the Founding Infrastructure Engineer role by addressing the specific requirements mentioned in the job description. Show us that you’ve done your homework!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Stealth
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Terraform, Helm, and GCP. Brush up on your knowledge of ArgoCD and Jenkins too, as these are crucial for the role.
✨Showcase Your Experience
Prepare to discuss specific projects where you've implemented MLOps or DevOps tooling. Highlight your hands-on experience with ML infrastructure and how it contributed to successful outcomes.
✨Understand the Company Vision
Familiarise yourself with the company’s mission of building Enterprise Superintelligence. Be ready to explain how your skills can help achieve this vision and improve business outcomes.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tech stack, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.