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Senior+ Software Engineer, Legal Tech

Anthropic

Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY · San Francisco · USD 320,000-485,000 / year · Posted Sep 29, 2026

At a glance

Location
Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY · San Francisco
Salary
USD 320,000-485,000 / year · Base salary
Visa sponsorship
Visa sponsorship available

About Anthropic

  • 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's Legal Tech engineers play a specialized and critical role in keeping Claude at the frontier by partnering closely with counsel.
  • The role involves building dedicated, highly secure, and reliable cloud environments and data processing and storage capabilities at speed and scale.
  • As a Senior+ Software Engineer, you will own your scope end to end to satisfy legal invariants and unlock new possibilities.

Responsibilities

  • Build and operate dedicated cloud infrastructure, storage, and data pipelines for specialized workloads that can't run on general-purpose systems
  • Design architectures with excellent security, privacy, reliability, scalability, and auditability baked in
  • Partner with a wide range of internal customer teams to translate requirements into sound approaches and realistic ETAs
  • Deliver against fixed deadlines
  • Support complex and novel legal requests on controlled infrastructure, with verifiable chain of custody
  • Pair with engineering teams across the company to extend existing infrastructure to support new workflows and/or legal requests
  • Work with nontechnical stakeholders to clarify their needs through responsive, easy-to-follow dialogue

Requirements

  • Experience designing, building, and operating highly trusted infrastructure and data systems in production, including owning architectural decisions
  • Experience working across large, complex, multi-team environments, including in stacks and code you don't own
  • Ability to take ownership of a cloud account and secure it end to end on AWS and/or GCP
  • Ability to translate legal and privacy requirements into sound technical designs and implementations that teams are excited to adopt
  • A habit of verifying rather than assuming: designing checks for invariants and plainly naming what isn't proved
  • Self-directed in a high-change environment, and comfortable resequencing quickly when new needs emerge
  • Clear communication with nontechnical stakeholders, and an understanding of their needs
  • Bachelor's degree or an equivalent combination of education, training, and/or experience
  • A field of study relevant to the role as demonstrated through coursework, training, or professional experience

Preferred qualifications

  • Software engineering experience with an infrastructure, data, privacy, and/or security focus
  • Proficiency with large-scale data tooling, such as distributed processing, lakehouse table formats, and/or query engines
  • Understanding of data processing pipelines, LLM training, and/or provenance and lineage
  • Experience with secure enclaves, confidential computing, clean rooms, or other purpose-built environments for sensitive data
  • Background in eDiscovery, litigation support, or records retention at scale, including chain of custody and verifiable integrity

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation
  • Parental leave
  • Flexible working hours

Workplace

  • Location-based hybrid policy expecting staff to be in one of the offices at least 25% of the time, though some roles may require more time in offices
  • Travel-required option noted in location

Skills

  • AWS
  • GCP
  • Cloud Infrastructure
  • Distributed Processing
  • Lakehouse Table Formats
  • Query Engines
  • Data Processing Pipelines
  • LLM Training
  • Provenance And Lineage
  • Secure Enclaves
  • Confidential Computing
  • Clean Rooms
Show all 15 skills
  • eDiscovery
  • Litigation Support
  • Records Retention

Anthropic

Senior+ Software Engineer, Legal Tech

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