Staff DevX Engineer - Build Fast, Scale Safely

Staff DevX Engineer - Build Fast, Scale Safely

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Anthropic

At a Glance

  • Tasks: Enhance developer productivity and design scalable infrastructures for high-volume workloads.
  • Company: Join Anthropic, a leader in innovative tech solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on strategic technical leadership.
  • Why this job: Make a real impact on how engineers develop and ship code.
  • Qualifications: Extensive software engineering experience, especially in large monorepo environments.

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

Anthropic is seeking a Staff+ Software Engineer specializing in Developer Productivity to enhance how engineers develop and ship code. The role involves strategic technical leadership and the design of scalable, reliable infrastructures that support high-volume workloads.

Applicants should ideally have extensive experience in software engineering, particularly within large monorepo environments. Strong proficiency in languages such as Python, Rust, or Go and experience with CI/CD practices are essential.

Staff DevX Engineer - Build Fast, Scale Safely employer: Anthropic

At Anthropic, we pride ourselves on fostering a collaborative and innovative work culture that empowers our engineers to excel in their roles. Located in a vibrant tech hub, we offer competitive benefits, continuous learning opportunities, and a commitment to employee growth, making it an ideal environment for those looking to make a meaningful impact in the field of software engineering.

Anthropic

Contact Details:

Anthropic Recruitment Team

We think you need these skills to ace Staff DevX Engineer - Build Fast, Scale Safely

Software Engineering
Developer Productivity
Technical Leadership
Scalable Infrastructure Design
High-Volume Workload Management
Monorepo Experience
Python