Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable cloud infrastructure for innovative AI products.
- Company: Join OpenAI, a leader in AI research and deployment.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact on the future of technology with cutting-edge AI.
- Qualifications: 5+ years in core infrastructure and experience with Kubernetes.
- Other info: Dynamic team environment focused on safety and responsible AI deployment.
The predicted salary is between 36000 - 60000 £ per year.
About the Team
The Applications Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. You'll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our Kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
About the Role
The cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably. In this role, you will:
- Design and build the development and production platforms that power our products, enabling reliability and security at scale
- Ensure our infrastructure can scale to the next order of magnitude
- Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think
- Be responsible for the reliability of the systems we build, including an on-call rotation to respond to critical incidents as needed
You might thrive in this role if you:
- Have 5+ years building core infrastructure
- Have experience operating orchestration systems such as Kubernetes at scale
- Have experience building abstractions over cloud platforms
- Take pride in building and operating scalable, reliable, secure systems
- Are comfortable with ambiguity and rapid change
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
Software Engineer, Cloud Infrastructure in London employer: OpenAI
Contact Detail:
OpenAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Cloud Infrastructure in London
✨Tip Number 1
Network like a pro! Reach out to current employees at OpenAI or in the cloud infrastructure space. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio, make sure it’s up to date with your best work. Highlight projects that showcase your experience with Kubernetes and cloud platforms.
✨Tip Number 3
Prepare for the interview! Brush up on your technical knowledge and be ready to discuss how you’ve tackled challenges in building scalable systems. We love candidates who can think on their feet!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who align with our mission of responsible AI deployment.
We think you need these skills to ace Software Engineer, Cloud Infrastructure in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Software Engineer in Cloud Infrastructure. Highlight your experience with Kubernetes and cloud platforms, as well as any relevant projects that showcase your skills in building scalable systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at OpenAI. Don’t forget to mention how you can contribute to creating a diverse and inclusive culture.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex problems in your previous roles. We love seeing candidates who can navigate ambiguity and adapt to rapid changes, so share those experiences!
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 shows you’re keen on joining our team!
How to prepare for a job interview at OpenAI
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of cloud infrastructure, especially Kubernetes and orchestration systems. Be ready to discuss your past experiences in building scalable and reliable systems, as this will show that you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in your previous roles. Think about times when you had to ensure reliability or security at scale, and be ready to explain your thought process and the outcomes.
✨Emphasise Team Collaboration
Since the role involves working across various teams, highlight your experience in collaborative environments. Discuss how you’ve contributed to creating an inclusive culture and how you handle feedback and differing opinions within a team.
✨Be Ready for Ambiguity
The job description mentions comfort with ambiguity and rapid change. Prepare to discuss how you've navigated uncertain situations in the past and how you adapt to new challenges. This will demonstrate your resilience and flexibility.