Lead AI Software Engineer: Open Source SRE for Production
Lead AI Software Engineer: Open Source SRE for Production

Lead AI Software Engineer: Open Source SRE for Production

Full-Time 70000 - 130000 £ / year (est.) No home office possible
Tracer

At a Glance

  • Tasks: Own the architecture of an open-source AI SRE agent and turn alerts into actionable insights.
  • Company: Join Tracer, a forward-thinking tech company based in London.
  • Benefits: Enjoy a competitive salary, equity ownership, and 30 days of annual leave.
  • Other info: Be part of a dynamic team with excellent growth opportunities.
  • Why this job: Make a real impact by building innovative products in AI and distributed systems.
  • Qualifications: 5+ years of software engineering experience and a passion for impactful technology.

The predicted salary is between 70000 - 130000 £ per year.

Tracer is seeking a Lead AI Software Engineer to own the core architecture of their open-source AI SRE agent in London. With 5+ years of software engineering experience, you'll architect systems turning alerts into actionable investigations.

This role offers a competitive compensation package, including a salary range of £70,000 to £130,000 and extensive benefits, such as equity ownership and 30 days of annual leave.

Ideal candidates would have a strong background in distributed systems and a passion for building impactful products.

Lead AI Software Engineer: Open Source SRE for Production employer: Tracer

Tracer is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those looking to make a significant impact in the AI space. Located in London, we offer extensive benefits including equity ownership, generous annual leave, and opportunities for professional growth, ensuring our employees thrive both personally and professionally. Join us to be part of a forward-thinking team dedicated to shaping the future of open-source AI technology.
Tracer

Contact Detail:

Tracer Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead AI Software Engineer: Open Source SRE for Production

✨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 showcasing your projects, especially those related to distributed systems and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for interviews by practising common technical questions and scenarios relevant to the role. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Lead AI Software Engineer: Open Source SRE for Production

Software Engineering
Core Architecture Design
Open Source Development
Distributed Systems
Alert Management
Actionable Investigations
System Architecture
Impactful Product Development

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for AI and open-source projects shine through. We want to see how your passion aligns with our mission at Tracer!

Tailor Your CV: Make sure to customise your CV to highlight your experience in distributed systems and software engineering. We love seeing how your skills can contribute to our core architecture!

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with Tracer.

How to prepare for a job interview at Tracer

✨Know Your Tech Inside Out

Make sure you’re well-versed in the technologies and frameworks mentioned in the job description. Brush up on distributed systems, as this is crucial for the role. Be ready to discuss your past projects and how they relate to the architecture of AI SRE agents.

✨Showcase Your Problem-Solving Skills

Prepare to demonstrate how you've turned alerts into actionable investigations in previous roles. Think of specific examples where you tackled complex issues and how your solutions made a difference. This will show your potential employer that you can handle the responsibilities of the position.

✨Understand Their Open Source Philosophy

Since Tracer is focused on open-source, it’s essential to understand their approach and values. Familiarise yourself with their existing projects and be prepared to discuss how you can contribute to their mission. Showing genuine interest in their work can set you apart from other candidates.

✨Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, project timelines, and future goals of the company. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values. Remember, interviews are a two-way street!

Lead AI Software Engineer: Open Source SRE for Production
Tracer

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