At a Glance
- Tasks: Design and maintain cloud infrastructure for cutting-edge AI projects.
- Company: Join Hiverge, a pioneering tech company with top-tier researchers.
- Benefits: Competitive pay, generous benefits, and a dynamic work environment.
- Why this job: Shape the future of AI while working with brilliant minds.
- Qualifications: 3+ years in cloud infrastructure and expertise in Golang.
- Other info: Opportunity for growth and to contribute to transformative technologies.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Who we are
At Hiverge, our mission is to build algorithmic superintelligence: an AI discovery engine that automatically writes algorithms for the most critical optimisation problems.
Our founding team is composed of world-class researchers from Google DeepMind and University of Cambridge, having co-developed AlphaTensor, FunSearch, and Nobel-prize winning AlphaFold. At Hiverge, you will be working with the brightest minds in AI, algorithms, and mathematics.
If you’re passionate about AI and eager to shape transformative technologies, we’d love to hear from you.
About this role
Role
We are seeking a skilled cloud engineer to join our team. You will play a key role in designing, deploying, and maintaining our cloud infrastructure. Your work will directly impact performance, reliability, and cost-efficiency of our AI workloads.
Responsibilities
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Design, implement, and maintain cloud-based infrastructure on major public cloud providers (AWS, GCP, Azure, etc.).
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Deploy and operate AI agents at scale, ensuring high availability and robust performance.
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Develop, extend, and maintain Kubernetes Operators for automation and workload orchestration.
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Collaborate closely with product and engineering teams to align infrastructure with business needs.
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Implement monitoring, logging, and observability solutions to enhance system visibility.
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Take ownership of meeting defined SLOs, including participating in on-call rotations.
Qualifications
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3+ years of experience in cloud infrastructure
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Bachelor\’s degree in Computer Science, Engineering, related field, or equivalent experience
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Expert in Golang and familiar with Python
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Hands-on experience with developing Kubernetes Operators
What sets you apart
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You have proven production experience with Kubernetes.
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Experience with cost optimization and resource management for large-scale AI workloads.
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Open-source contributions or active community involvement is highly valued.
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Solid understanding of infrastructure-as-code (Terraform, Helm, or similar).
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Familiarity with AI agents or LLM-based systems, especially like LLM inference systems.
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Experience in integrating solutions on Google Cloud Marketplace or AWS Marketplace is a plus.
We offer competitive compensation,
generous benefits packages, and a stimulating work environment, with the opportunity to contribute to the future of generative AI.
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Software Engineer (Cloud Infrastructure) employer: Hiverge
Contact Detail:
Hiverge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (Cloud Infrastructure)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Hiverge. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got projects or contributions to open-source that relate to cloud infrastructure or AI, make sure to highlight them in conversations. It’s all about demonstrating what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Kubernetes and Golang skills. Practice coding challenges and system design questions that are relevant to cloud infrastructure. We want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Hiverge.
We think you need these skills to ace Software Engineer (Cloud Infrastructure)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud infrastructure and Kubernetes. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our mission at Hiverge. Be genuine and let us know why you’re excited about this opportunity.
Showcase Your Technical Skills: Since we’re looking for someone with expertise in Golang and Kubernetes, make sure to mention any specific projects or experiences that demonstrate your proficiency. We love seeing hands-on experience!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Hiverge
✨Know Your Cloud Providers
Make sure you brush up on your knowledge of major public cloud providers like AWS, GCP, and Azure. Be ready to discuss how you've designed and maintained cloud infrastructure in the past, and think of specific examples that showcase your expertise.
✨Showcase Your Kubernetes Skills
Since experience with Kubernetes Operators is crucial for this role, prepare to talk about your hands-on experience. Bring examples of projects where you've developed or extended Kubernetes Operators, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Cost Optimisation Knowledge
Hiverge values cost efficiency, especially for AI workloads. Think about times when you've successfully optimised costs in your previous roles. Be prepared to discuss strategies you've implemented and the impact they had on performance and resource management.
✨Engage with AI and Open Source
If you have any open-source contributions or community involvement, make sure to highlight these during your interview. Discuss your passion for AI and how it aligns with Hiverge's mission. This will show your enthusiasm and commitment to the field.