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- Tasks: Design scalable telemetry systems and enhance observability platforms for AI infrastructure.
- Company: Leading AI research firm in the UK with a focus on innovation.
- Benefits: Competitive salary and comprehensive benefits package.
- Why this job: Join a pioneering team and shape the future of AI infrastructure.
- Qualifications: 10+ years in observability, strong Python skills, and a passion for infrastructure.
The predicted salary is between 48000 - 84000 £ per year.
A leading AI research firm based in the United Kingdom is looking for experienced Software Engineers to join their Observability team. The role involves designing scalable telemetry systems and improving observability platforms to support large-scale AI infrastructure.
Candidates with over 10 years of experience in observability, strong programming skills in Python or similar, and a passion for building foundational infrastructure will thrive in this position. Competitive salary and benefits are offered.
Staff Software Engineer - Observability & Reliability employer: Anthropic
Contact Detail:
Anthropic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer - Observability & Reliability
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects related to observability and reliability. This is your chance to demonstrate your programming prowess in Python and how you tackle real-world problems.
✨Tip Number 3
Ace the interview by practising common technical questions and scenarios related to telemetry systems. We can help you with mock interviews to boost your confidence and ensure you’re ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Staff Software Engineer - Observability & Reliability
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in observability and reliability. We want to see how your skills in Python or similar languages can contribute to our telemetry systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about building foundational infrastructure and how your 10+ years of experience make you the perfect fit for our team.
Showcase Relevant Projects: Include any projects that demonstrate your expertise in observability platforms. We love seeing real-world applications of your skills, so don’t hold back!
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!
How to prepare for a job interview at Anthropic
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python or similar languages. Be ready to discuss your past projects and how you've tackled challenges in observability and reliability. This is your chance to showcase your technical expertise!
✨Understand the Company’s Vision
Research the AI research firm thoroughly. Understand their mission, values, and recent projects. This will not only help you answer questions more effectively but also show your genuine interest in being part of their team.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to telemetry systems and observability platforms. Think about specific examples from your experience where you improved system reliability or scalability, and be ready to explain your thought process.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions prepared. Inquire about the team dynamics, the technologies they use, or future projects. This shows that you're not just interested in the role, but also in how you can contribute to their success.
