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Salary: USD 320,000 - 485,000 / annual
Anthropic is seeking a Senior Software Engineer to join its Legal Tech team. This role is critical to keeping Claude at the frontier of AI development by building specialized infrastructure and systems that support Anthropic's legal and compliance obligations.
You will design, build, and operate dedicated, highly secure, and reliable cloud environments and data processing systems at scale. Your work will span the full lifecycle: from gathering raw requirements through deploying large-scale production systems that satisfy legal invariants and enable innovation. The systems you build must be dependable, scalable, interpretable, and auditable—capable of demonstrating to external stakeholders exactly how they work and why results can be trusted.
Key responsibilities include:
- Building and operating dedicated cloud infrastructure, storage, and data pipelines for specialized workloads that cannot run on general-purpose systems
- Designing architectures with security, privacy, reliability, scalability, and auditability built in from the start
- Partnering with internal customer teams (Privacy, Security, Research, Infrastructure, Legal) to translate requirements into sound technical approaches and realistic timelines
- Delivering against fixed deadlines
- Supporting complex and novel legal requests on controlled infrastructure with verifiable chain of custody
- Pairing with engineering teams across the company to extend existing infrastructure for new workflows
- Working with nontechnical stakeholders to clarify needs through clear, responsive dialogue
You will own your scope end to end and act as a trusted advisor, explaining technical concepts and constraints to inform legal decisions while proactively designing approaches to prevent classes of problems. Your infrastructure expertise will directly empower the business to calibrate and manage risk while innovating faster.
Minimum qualifications:
- 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 (networking, storage, identity, encryption, least-privilege provisioning, etc.) 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, comfortable resequencing quickly when new needs emerge
- Clear communication with nontechnical stakeholders and understanding of their needs
Preferred qualifications:
- Software engineering experience with an infrastructure, data, privacy, and/or security focus
- Proficiency with large-scale data tooling (distributed processing, lakehouse table formats, 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
Education: Bachelor's degree or equivalent combination of education, training, and professional experience in a field relevant to the role.
