Staff+ Software Engineer Observability
Staff+ Software Engineer Observability

Staff+ Software Engineer Observability

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our Observability team to enhance monitoring and telemetry for AI systems.
  • Company: Anthropic, a leader in creating safe and beneficial AI technology.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving innovation in AI infrastructure.
  • Why this job: Make a real impact on the reliability of cutting-edge AI systems.
  • Qualifications: Experience in software engineering and a passion for observability tools.

The predicted salary is between 36000 - 60000 £ per year.

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

Anthropic is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on—from metrics and logging pipelines to distributed tracing, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems.

As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude. We're building next‑generation observability systems—high‑throughput ingest pipelines, cost‑efficient columnar storage, unified query layers across signals, and agentic diagnostic tools—to ensure that engineers can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become exponentially more complex.

Please mention the word PRODIGIOUS and tag RMzQuOTYuNDcuMjE4 when applying to show you read the job post completely.

Staff+ Software Engineer Observability employer: Promote Project

At Anthropic, we pride ourselves on being an exceptional employer, fostering a collaborative and innovative work culture that empowers our employees to make a meaningful impact in the field of AI. Our commitment to professional growth is evident through continuous learning opportunities and a supportive environment that encourages creativity and exploration. Located in a vibrant tech hub, we offer unique advantages such as access to cutting-edge technology and a diverse team of experts dedicated to building safe and beneficial AI systems.
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Contact Detail:

Promote Project Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff+ Software Engineer Observability

✨Tip Number 1

Network like a pro! Reach out to current employees at Anthropic on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the Observability team.

✨Tip Number 2

Show off your skills! If you’ve worked on relevant projects, create a portfolio or GitHub repository showcasing your work. This is a great way to demonstrate your expertise in observability systems and software engineering.

✨Tip Number 3

Prepare for the interview! Research common technical questions related to observability and be ready to discuss your problem-solving approach. We want to see how you think and tackle challenges.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Don’t forget to mention **PRODIGIOUS** and tag RMzQuOTYuNDcuMjE4 to show you’re serious about this opportunity!

We think you need these skills to ace Staff+ Software Engineer Observability

Software Engineering
Observability
Monitoring Infrastructure
Telemetry
Metrics and Logging Pipelines
Distributed Tracing
Error Analytics
Alerting Systems
Dashboard Development
Query Interfaces
High-Throughput Ingest Pipelines
Columnar Storage
Unified Query Layers
Diagnostic Tools
Operational Excellence

Some tips for your application 🫡

Read the Job Description Carefully: Before you start writing, make sure you fully understand what we're looking for. Pay attention to the specific skills and experiences mentioned in the job description, as this will help you tailor your application to show us you're the right fit.

Showcase Your Relevant Experience: When detailing your experience, focus on projects or roles that align with the responsibilities of the Staff+ Software Engineer position. Highlight any work related to observability, monitoring, or infrastructure, as this will resonate with our team.

Be Authentic and Personal: We want to get to know the real you! Don’t be afraid to inject a bit of personality into your application. Share your passion for AI and how it aligns with our mission at Anthropic. This helps us see how you’d fit into our culture.

Apply Through Our Website: Make sure to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. And don’t forget to include the word **PRODIGIOUS** and tag RMzQuOTYuNDcuMjE4 to show us you’ve read the job post thoroughly!

How to prepare for a job interview at Promote Project

✨Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, especially around observability tools and practices. Brush up on your knowledge of metrics, logging pipelines, and distributed tracing, as these are crucial for the role.

✨Showcase Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous roles related to monitoring and telemetry infrastructure. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you resolved complex issues efficiently.

✨Understand Anthropic's Mission

Familiarise yourself with Anthropic’s mission to create safe and beneficial AI systems. Be ready to articulate how your skills and experiences align with their goals, particularly in enhancing operational excellence through observability.

✨Ask Insightful Questions

Prepare thoughtful questions about the team’s current projects and future challenges. This shows your genuine interest in the role and helps you gauge if the company culture and objectives align with your career aspirations.

Staff+ Software Engineer Observability
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