Senior SRE & AI/ML Platform Engineer

Senior SRE & AI/ML Platform Engineer

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build scalable data solutions and mentor team members in a collaborative environment.
  • Company: Join Fairygodboss, a leader in AI/ML Data Platforms.
  • Benefits: Enjoy competitive healthcare, retirement plans, and a supportive work culture.
  • Other info: Great opportunity for career growth in a vibrant tech community.
  • Why this job: Shape innovative projects while enhancing your skills in a dynamic team.
  • Qualifications: Strong site reliability, observability, and automation skills required.

The predicted salary is between 60000 - 80000 £ per year.

Fairygodboss is looking for a Site Reliability Engineer to join the AI/ML Data Platforms team in Greater London. This role involves building scalable and resilient data solutions, coordinating incident management, and mentoring team members.

The ideal candidate will have strong skills in site reliability, observability, and automation tools, and will play a key role in shaping a collaborative and innovative team culture.

Competitive benefits, including comprehensive healthcare and retirement plans, are offered.

Senior SRE & AI/ML Platform Engineer employer: Fairygodboss

Fairygodboss is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the AI/ML Data Platforms team in Greater London. Employees benefit from competitive perks such as comprehensive healthcare and retirement plans, alongside ample opportunities for professional growth and mentorship, making it a rewarding place to advance your career in site reliability engineering.

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Contact Details:

Fairygodboss Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior SRE & AI/ML Platform Engineer

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Fairygodboss. A friendly chat can sometimes lead to opportunities that aren’t even advertised!

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to site reliability and AI/ML. This gives you a chance to demonstrate your expertise beyond just a CV.

Tip Number 3

Prepare for the interview by brushing up on incident management scenarios. Think of examples where you’ve solved problems or improved processes. We want to see how you handle real-world challenges!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Fairygodboss team.

We think you need these skills to ace Senior SRE & AI/ML Platform Engineer

Site Reliability Engineering
Observability
Automation Tools
Data Solutions Development
Incident Management
Mentoring
Collaboration

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with site reliability, observability, and automation tools. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about joining our AI/ML Data Platforms team and how you can contribute to building scalable and resilient data solutions.

Showcase Your Team Spirit:Since we value collaboration, share examples of how you've mentored others or worked in a team setting. We love seeing candidates who can foster a positive team culture!

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 this exciting opportunity with Fairygodboss!

How to prepare for a job interview at Fairygodboss

Know Your Tech Inside Out

Make sure you’re well-versed in site reliability, observability, and automation tools. Brush up on the specific technologies mentioned in the job description and be ready to discuss how you've used them in past projects.

Showcase Your Problem-Solving Skills

Prepare to share examples of how you've tackled incidents or challenges in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your ability to build scalable and resilient data solutions.

Emphasise Team Collaboration

Since this role involves mentoring and shaping team culture, be ready to discuss your experience working in collaborative environments. Share instances where you’ve successfully led a team or contributed to a positive team dynamic.

Ask Insightful Questions

Prepare thoughtful questions about the AI/ML Data Platforms team and their current projects. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.