At a Glance
- Tasks: Design and maintain cloud infrastructure for cutting-edge AI projects.
- Company: Join Hiverge, a pioneering AI company with top-tier researchers.
- Benefits: Competitive pay, generous benefits, and a stimulating work environment.
- Other info: Opportunity to contribute to transformative technologies and grow your career.
- Why this job: Shape the future of AI while working with the brightest minds in the field.
- Qualifications: 5+ years in cloud infrastructure and experience with Kubernetes.
The predicted salary is between 70000 - 90000 £ per year.
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.
We are seeking a skilled Platform Engineer to join our team. You will play a key role in designing, deploying, and maintaining our cloud infrastructure. Your work will directly impact the performance, reliability, security and cost-efficiency of our AI workloads.
You will:
- Design, implement, and maintain cloud-based infrastructure on major cloud providers (AWS, GCP, Azure, etc).
- Design and implement security best practices and infrastructure hardening for all cloud deployments.
- Deploy and operate AI agents at scale, ensuring high availability and robust performance.
- Implement monitoring, logging, and observability solutions to enhance system visibility.
- Collaborate closely with product and engineering teams to align infrastructure with business needs.
- Take ownership of meeting defined SLOs, including participating in on-call rotations.
Qualifications
- 5+ years of experience working with cloud infrastructure in a major cloud provider (AWS, GCP, Azure).
- Experience with infrastructure-as-code (IaC) in a production environment (Terraform, Helm etc).
- Deep understanding of cloud security best practices.
- Experience with Kubernetes.
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience.
What sets you apart
- Familiarity with security frameworks and compliance standards such as SOC 2 or ISO 27001.
- Experience with large-scale AI / ML workloads (particularly using GPUs).
- Familiarity with AI agents or LLM-based systems, especially LLM inference systems.
- Experience with Golang and Python.
- Open-source contributions or active community involvement is highly valued.
We offer competitive compensation, generous benefits packages, and offer a stimulating work environment, with the opportunity to contribute to the future of generative AI.
Platform Engineer in Cambridge employer: Hiverge
At Hiverge, we pride ourselves on being an exceptional employer, offering a stimulating work environment where innovation thrives. Our team comprises world-class researchers and engineers dedicated to pushing the boundaries of AI technology, providing ample opportunities for professional growth and collaboration. With competitive compensation and generous benefits, joining us means becoming part of a mission-driven company at the forefront of algorithmic superintelligence in a vibrant location that fosters creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer in Cambridge
✨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 related to cloud infrastructure and AI. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your cloud knowledge and coding skills. Practice common interview questions and scenarios that relate to platform engineering, so you can impress them when it counts.
✨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, we love seeing candidates who are genuinely interested in joining our mission at Hiverge.
We think you need these skills to ace Platform Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Platform Engineer role. Highlight your experience with cloud infrastructure, IaC tools, and any relevant projects that showcase your skills in AI and algorithms.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how your background aligns with our mission at Hiverge. Don’t forget to mention specific experiences that demonstrate your expertise in cloud security and Kubernetes.
Showcase Your Projects:If you've worked on any interesting projects, especially those involving AI or large-scale workloads, make sure to include them. We love seeing practical applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Hiverge
✨Know Your Cloud Providers
Make sure you brush up on your knowledge of AWS, GCP, and Azure. Be ready to discuss specific projects where you've designed or maintained cloud infrastructure. Highlight any challenges you faced and how you overcame them.
✨Showcase Your IaC Skills
Since experience with infrastructure-as-code is crucial, prepare to talk about your hands-on experience with tools like Terraform or Helm. Bring examples of how you've implemented IaC in production environments and the benefits it brought to your team.
✨Understand Security Best Practices
Security is a big deal for this role, so be prepared to discuss cloud security best practices. Familiarise yourself with frameworks like SOC 2 or ISO 27001, and be ready to explain how you've applied these in your previous roles.
✨Demonstrate Collaboration Skills
Collaboration is key at Hiverge, so think of examples where you've worked closely with product and engineering teams. Be ready to share how you aligned infrastructure with business needs and contributed to meeting defined SLOs.
