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Staff+ Software Engineer, Platform Connectivity

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Staff+ Software Engineer, Platform Connectivity in UK

  • Anthropic
  • Full time
  • Email
  • London

Responsibilities

  • Design, build, and operate the MCP proxy and OAuth and token management infrastructure for external tool calls.
  • Own reliability through SLOs, on-call, incident response, and postmortems.
  • Build enterprise admin controls and permission models for governing agent actions.
  • Contribute to the MCP specification, ecosystem, and official Python and TypeScript SDKs.
  • Scope and drive complex multi-month projects, make architectural decisions, and align teams across Anthropic.
  • Partner with research teams to productize capabilities and dogfood platform features in consuming products.

Requirements

  • Experience as a backend or platform engineer.
  • Experience operating production distributed systems and understanding reliability, observability, and incident response at scale.
  • Ability to independently make sound technical decisions, navigate ambiguity, and take ownership from design through operations.
  • Product-focused approach to building robust, scalable, and usable platform solutions.
  • Familiarity with using AI tools in the software development process.
  • Strong communication skills and ability to build consensus across teams and time zones.
  • Bachelor’s degree or equivalent combination of education, training, and/or experience in a relevant field demonstrated through coursework, training, or professional experience.

Benefits

  • Annual compensation range of $405,000—$485,000 USD.
  • Hybrid policy requiring staff to work from an Anthropic office at least 25% of the time, with some roles requiring more office time.
  • Visa sponsorship with immigration lawyer support where applicable.
  • Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.

Salary: $405k - $485k/yr

Anthropic

Anthropic builds AI systems that are reliable, interpretable, and steerable, with a commitment to ensuring their safety and benefit to users and society. Our work is driven by a dedicated team of researchers, engineers, and policy experts focused on the development of beneficial AI solutions.

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