Senior+ Software Engineer (Legal Tech)

Join Anthropic, a leading AI safety and research company, as a Senior+ Software Engineer on our Legal Tech team. In this role, you will build dedicated, highly secure, and reliable cloud environments and data processing capabilities. You will own your scope end to end, from raw requirements to large-scale production systems that satisfy legal invariants. You will also act as a trusted advisor, clearly explaining technical concepts to inform legal decisions and proactively designing new approaches to prevent problems.

• Concevoir et construire des infrastructures cloud dédiées, des capacités de traitement et de stockage des données pour des charges de travail spécialisées.
• Travailler en étroite collaboration avec les équipes internes pour traduire les exigences en approches solides et en délais réalistes.
• Agir en tant que conseiller de confiance, en expliquant clairement les concepts techniques et les contraintes pour éclairer les décisions juridiques.

• Clear communication with nontechnical stakeholders, and an understanding of their needs
• Ability to translate legal and privacy requirements into sound technical designs and implementations that teams are excited to adopt
• 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
• 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
• 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
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed
• 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