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- Tasks: Build and optimise cutting-edge infrastructure for enterprise superintelligence.
- Company: Innovative tech startup focused on transforming business outcomes.
- Benefits: Flexible working hours, competitive salary, and opportunities for professional growth.
- Why this job: Join a pioneering team and shape the future of technology with impactful projects.
- Qualifications: Experience with MLOps, DevOps tools, and cloud platforms like GCP or AWS.
- Other info: Work in a dynamic environment with a focus on collaboration and innovation.
The predicted salary is between 36000 - 60000 £ per year.
We are building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them.
- 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.
- Cloud Familiarity: Excellent familiarity with at least one of the hyperscaler clouds (GCP, AWS, Azure), and familiarity with the others.
Technology Infrastructure Engineer in City of London employer: Stealth
Contact Detail:
Stealth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technology Infrastructure Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Terraform, GCP, or any MLOps tools. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of ML infrastructure and DevOps tooling. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with the specific tools mentioned in the job description.
We think you need these skills to ace Technology Infrastructure Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with the specific tools mentioned in the job description, like Terraform and GCP. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about MLOps and DevOps tooling. Share any relevant projects or experiences that showcase your expertise in ML infrastructure.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in previous roles, especially related to infrastructure engineering. We love seeing how you approach problems and find solutions!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role!
How to prepare for a job interview at Stealth
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Terraform, GCP, and Jenkins. Brush up on your experience with these tools and be ready to discuss specific projects where you’ve used them.
✨Showcase Your MLOps Experience
Prepare to talk about your hands-on experience with MLOps and DevOps tooling. Have examples ready that demonstrate how you've successfully implemented these systems in past roles, especially focusing on ArgoCD and Vertex AI.
✨Familiarity with Hyperscalers
Since familiarity with cloud platforms is key, ensure you can discuss your experience with at least one hyperscaler in detail. Be prepared to compare and contrast your experiences across GCP, AWS, and Azure.
✨Cultural Fit and Collaboration
This role involves working closely with teams to achieve business outcomes. Think of examples that highlight your collaborative skills and how you’ve contributed to team success in previous positions.