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For Companies At a Glance
- Tasks: Join a dynamic team to build scalable backend services and power innovative AI products.
- Company: xAI, a cutting-edge tech company on a mission to enhance human knowledge through AI.
- Benefits: Competitive salary, equity, comprehensive health coverage, and various perks.
- Why this job: Be part of a small, motivated team making a real impact in the AI space.
- Qualifications: Expertise in Kubernetes, continuous deployment, and monitoring technologies required.
- Other info: In-person role in London with opportunities for remote work and excellent career growth.
The predicted salary is between 36000 - 60000 £ per year.
About xAI
xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
About the team
You will work on the team that is responsible for the backend services that power our products and the API. We focus on writing and maintaining highly scalable and reliable services that can efficiently process tens of thousands of queries per second. The services are hosted on a number of Kubernetes clusters (on-prem & cloud).
About the role
An ideal candidate meets at least the following requirements:
- Expert knowledge of Kubernetes.
- Expert knowledge of continuous deployment systems such as Buildkite and ArgoCD.
- Expert knowledge of monitoring technologies such as Prometheus, Grafana, and PagerDuty.
- Expert knowledge of infrastructure as code technologies such as Pulumi or Terraform.
- Familiarity with a systems programming language like Rust, C++ or Go.
- Experience with traffic management and HTTP proxies such as nginx and envoy.
Location
This position is in-person in London, UK. We usually work from the office 5 days a week but allow for work-from-home days when required. Candidates must be willing to attend late meetings at least once a week to coordinate with the rest of our team in Palo Alto.
Interview process
After submitting your application, the team reviews your statement of exceptional work and CV. If your application passes this stage, the interview process is as follows:
- Initial technical screening during which a member of our team will ask some basic technical questions (15 minutes)
- Coding interview (45 minutes)
- Distributed System Design interview (45 minutes)
- Final stage with founding engineer Toby Pohlen (30 minutes)
All interviews will be conducted via Google Meet.
Benefits
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to our Aviva pension plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer.
Site Reliability Engineer in London employer: xAI
Contact Detail:
xAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Site Reliability Engineer in London
✨Tip Number 1
Get to know the company and its mission inside out. When you’re in that interview, show us how your skills align with our goal of creating AI systems that understand the universe. It’s all about connecting your expertise with what we’re passionate about!
✨Tip Number 2
Practice makes perfect! Before your coding interview, brush up on your Kubernetes and continuous deployment systems. We want to see you shine, so tackle some mock interviews or coding challenges to get comfortable with the format.
✨Tip Number 3
Communication is key! During your interviews, make sure to articulate your thought process clearly. We value strong communication skills, so don’t hesitate to explain your reasoning as you solve problems or design systems.
✨Tip Number 4
Don’t forget to ask questions! Show us your curiosity by inquiring about our team dynamics, projects, or even the tech stack we use. This not only demonstrates your interest but also helps you gauge if we’re the right fit for you.
We think you need these skills to ace Site Reliability Engineer in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and engineering shine through. We love candidates who are curious and eager to tackle challenges, so don’t hold back on sharing what excites you about the role!
Tailor Your CV: Make sure your CV highlights your expertise in Kubernetes, continuous deployment systems, and monitoring technologies. We want to see how your skills align with our mission, so customise your experience to match the job description.
Craft a Strong Statement: Your statement of exceptional work is your chance to stand out! Be concise but impactful—share specific examples of your achievements and how they relate to the role. We’re looking for hands-on experience that demonstrates your ability to deliver excellence.
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 proactive, which we really appreciate!
How to prepare for a job interview at xAI
✨Know Your Tech Inside Out
Make sure you brush up on your Kubernetes knowledge and any continuous deployment systems like Buildkite and ArgoCD. Be ready to discuss your experience with monitoring tools such as Prometheus and Grafana, as well as infrastructure as code technologies like Pulumi or Terraform. The more confident you are in these areas, the better you'll impress the interviewers.
✨Showcase Your Problem-Solving Skills
During the coding interview, focus on demonstrating your thought process. Don’t just jump into coding; explain your approach and reasoning. This will show that you can think critically and solve problems effectively, which is crucial for a Site Reliability Engineer.
✨Communicate Clearly and Concisely
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms. You might be asked to share your knowledge with teammates, so being able to articulate your thoughts clearly will set you apart from other candidates.
✨Prepare for Distributed System Design
For the Distributed System Design interview, think about scalability and reliability. Prepare to discuss how you would design systems that can handle high traffic loads efficiently. Consider real-world examples from your past work to illustrate your points and show your hands-on experience.