At a Glance
- Tasks: Lead a team to ensure the reliability and scalability of our cutting-edge research platform.
- Company: Join OpenAI, a leader in AI research and innovation.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative culture focused on diversity, equity, and inclusion.
- Why this job: Make a real impact on AI technology that reaches millions globally.
- Qualifications: Experience in SRE or engineering management, strong cloud infrastructure skills.
The predicted salary is between 80000 - 100000 £ per year.
About The Team
Reliable services are what enables OpenAI to train the best AI models in the world and to bring the promise of safe, effective AI to the world. The SRE team in research is responsible for defining, measuring, and improving the reliability of the research platform. The SRE team works closely with the supercomputing and hardware health teams to improve the functioning of the existing research platform and build the future platform. The research platform is the platform used to conduct basic AI research and to train the next generation of models. This is the team that helps make the infrastructure enabling progress at the world’s leading AI lab.
About The Role
As OpenAI continues to grow, we are building a team focused on the reliability of the research platform and enabling our systems to scale. Our success depends on our ability to quickly iterate on research ideas while also ensuring that the underlying platform is performant, usable, and reliable. You will build and lead a team in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will lead a team ensuring the reliability, scalability, and performance of our systems as we continue to expand. You will be at the forefront of defining, measuring, maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross‑functional teams, including software engineers, data scientists and ML researchers to build and maintain resilient systems that can handle our growing user base and workload.
In This Role, You Will
- Collaborate with researchers, data scientists and platform developers to specify the availability, performance, correctness, and efficiency requirements of the current and future versions of the research platform.
- Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands.
- Implement and manage monitoring systems to proactively identify issues and anomalies in our production environment.
- Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability.
- Implement fault‑tolerant and resilient design patterns to minimize service disruptions.
- Build and maintain automation tools to streamline repetitive tasks and improve system reliability.
- Participate in an on‑call rotation to respond to critical incidents and ensure 24/7 system availability, alongside other infrastructure developers.
You Might Thrive In This Role If You
- Are a technical leader, excited to do hand‑on technical work but equally excited to lead technical teams to peak performance.
- Have a track record of accelerating engineering reliability by empowering your fellow engineers with excellent tooling and systems.
- Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think.
- Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
- Are experienced in collaborating with cross‑functional teams to ensure that reliability and scalability are considered in the design and development of new features and services.
- Own problems end‑to‑end, and are willing to pick up whatever knowledge you're missing to get the job done.
- Have excellent communication skills. Expressing ideas clearly and listening carefully are among the most important requirements for success in this role.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
- Proven experience as a SRE manager, engineering manager, reliability engineer, production engineer, infrastructure Software Engineer or a similar role in a fast‑paced, rapidly scaling company.
- Strong proficiency in cloud infrastructure, specifically Azure but also the underlying concepts of scheduling, scaling, cloud storage, networking and security.
- Proficiency in programming/scripting languages.
- Experience with containerization technologies and container orchestration platforms like Kubernetes.
- Knowledge of IaC tools such as Terraform or CloudFormation.
- Excellent problem‑solving and troubleshooting skills.
- Strong communication and collaboration skills.
- Experience with observability tools such as DataDog, Prometheus, Grafana, Splunk and ELK stack.
- Experience with bare metal performance maximization in a Linux environment as well as hardware (especially GPU) device performance and troubleshooting.
- Knowledge of security best practices in cloud environments.
- No AI/ML experience required but always useful.
Reliability Engineering Manager, Research Platform in London employer: OpenAI
OpenAI is an exceptional employer, offering a dynamic and collaborative work culture that empowers employees to innovate and excel in the rapidly evolving field of AI. As a Reliability Engineering Manager, you will lead a talented team in a supportive environment that prioritises diversity, equity, and inclusion, while providing ample opportunities for professional growth and development. Located in a cutting-edge research facility, you will play a pivotal role in shaping the future of AI technology, ensuring its reliability and performance for millions of users worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Reliability Engineering Manager, Research Platform in 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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This is a great way to demonstrate your technical prowess and give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to reliability engineering. Think about how you would handle specific challenges and be ready to share your thought process during the interview.
✨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 StudySmarter.
We think you need these skills to ace Reliability Engineering Manager, Research Platform in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Reliability Engineering Manager role. Highlight your experience in cloud infrastructure, programming, and any relevant leadership roles to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about reliability engineering and how your background makes you a perfect fit for our team. Don’t forget to mention any collaborative projects you've worked on!
Showcase Your Problem-Solving Skills:In your application, share specific examples of how you've tackled challenges in previous roles. We love to see candidates who can demonstrate their troubleshooting skills and innovative thinking in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at StudySmarter!
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 Azure. Be ready to discuss your experience with containerization technologies and orchestration platforms like Kubernetes. The more you can demonstrate your technical expertise, the better you'll impress the interviewers.
✨Showcase Your Leadership Skills
As a Reliability Engineering Manager, you'll need to lead a team effectively. Prepare examples of how you've empowered your colleagues in previous roles. Highlight any experiences where you’ve fostered collaboration and improved team performance, as this will resonate well with the interviewers.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that test your problem-solving skills. Think of specific challenges you've encountered in past roles and how you resolved them. This will show your ability to own problems end-to-end and your readiness to tackle issues head-on.
✨Communicate Clearly and Effectively
Strong communication is key in this role. Practice articulating your ideas clearly and concisely. Be prepared to listen actively and engage in discussions about reliability and scalability, as this will demonstrate your collaborative spirit and understanding of the role's requirements.
