# Staff+ Software Engineer, Platform Connectivity

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA, London, United Kingdom
**Role:** Backend Engineering
**Salary:** $405k – $485k/yr
**Experience:** 7+ years
**Skills:** Backend Engineering, Platform Engineering, Distributed Systems, OAuth, Mcp, Python, TypeScript, SDKs, Reliability Engineering, Observability, Incident Response, SLOs, Permission Models, Access Tokens, AI Tools
**Posted:** 2026-08-19

> Build and operate Anthropic’s connectivity platform, including MCP proxy infrastructure, OAuth and token management, enterprise controls, and reliability systems. The role requires strong backend or platform engineering experience, distributed-systems expertise, and the ability to lead complex architectural work across teams.

## Job Description

## Responsibilities
- Design, build, and operate core connectivity infrastructure for external tool calls, including the MCP proxy and OAuth and token management systems.
- Own reliability for infrastructure used by internal teams and external partners, including SLOs, on-call, incident response, and postmortems.
- Build enterprise admin controls and permission models for governing agent capabilities.
- Contribute to the MCP standard and ecosystem, including the specification and official Python and TypeScript SDKs.
- Scope complex, multi-month projects and drive cross-organizational alignment through ambiguous problem spaces.
- Make architectural decisions that shape product development and scalability.
- Partner with research teams to productize new capabilities.
- Dogfood, deploy, operate, and iteratively improve platform products.

## Requirements
- Experience as a backend or platform engineer.
- Experience operating production distributed systems at scale.
- Understanding of reliability, observability, and incident response.
- Product-focused approach to platform engineering.
- Ability to build robust, scalable, and easy-to-use solutions.
- Full ownership from design through deployment, operations, and iteration.
- Ability to navigate ambiguity and make independent technical decisions.
- Experience in both early-stage and mature team or company environments is preferred.
- Excellent communication and consensus-building skills across teams and time zones.
- Familiarity with using AI tools in software development.
- Bachelor's degree or equivalent combination of education, training, and experience.

## Compensation and Benefits
- Annual salary: **$405,000–$485,000 USD**.
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Office collaboration space.
- Visa sponsorship may be available depending on the role and candidate.

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