Senior+ Software Engineer, Legal Tech

Praxy; San Francisco (CA); Hybrid; USD 320,000 - 485,000; Full time

Job summary

Anthropic in San Francisco seeks a Senior+ Software Engineer for its Legal Tech team to build secure cloud infrastructure, data processing, and storage capabilities at scale. You will own end-to-end scope, from requirements to production systems that meet legal invariants and enable new capabilities.

You will translate legal and privacy needs into robust designs, collaborating with Privacy, Security, Research, Infra, and Legal to ship the right capabilities on tight timelines.

Qualifications

• Experience designing, building, and operating trusted infrastructure and data systems.
• Ability to own architectural decisions across a multi-team environment.
• Translate legal/privacy requirements into technical designs.

Responsibilities

• Build and operate cloud infrastructure, storage, and data pipelines.
• Design architectures with security, privacy, reliability, scalability, and auditability in mind.
• Partner with internal customer teams to translate requirements into sound approaches and realistic ETAs.
• Deliver against fixed deadlines and support complex legal requests on controlled infrastructure.

Skills

Cloud infrastructure

Data pipelines

Security & privacy

Cross-team collaboration

Technical storytelling

Education

Bachelor's degree

Tools

AWS

GCP

Data processing tooling

Job description

2. /3. Senior+ Software Engineer, Legal TechLocation: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY## About the roleAbout AnthropicAnthropic'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 roleAnthropic's Legal Tech engineers play a specialized and critical role in keeping Claude at the frontier. Partnering closely with counsel, we provide custom infrastructure and guidance for complex, novel technical matters, empowering teams across the company to continue meeting our legal obligations as we innovate.As a Senior+ Software Engineer on our Legal Tech team, you'll build dedicated, highly secure, and reliable cloud environments and data processing and storage capabilities at speed and scale. You will own your scope end to end: from raw requirements all the way through to large-scale production systems that satisfy legal invariants and unlock new possibilities. The systems you build won't just be dependable and scalable; they'll be interpretable and auditable, demonstrating to skeptical audiences exactly how they worked and why results can be trusted.You'll be an essential member of a collaborative team, working together to solve difficult problems against fixed deadlines. You will own internal customer relationships as well: you'll gather, prioritize, and coordinate needs from colleagues on Privacy, Security, Research, and/or Infra as well as Legal, to ship the right capabilities on the right timelines. You'll act as a trusted advisor: clearly explaining technical concepts and constraints to inform legal decisions, and proactively designing new approaches to prevent classes of problems. Your infrastructure expertise will directly empower our business to calibrate and manage risk, innovating faster thanks to systems that build in legal considerations.Key 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 dialogueMinimum 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, and comfortable resequencing quickly when new needs emerge-Clear communication with nontechnical stakeholders, and an understanding of their needsPreferred 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 integrityThe annual compensation range for this role is listed below.For sales roles, the range provided is the role's On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$320,000 - $485,000 USDLogisticsMinimum education: Bachelor's degree or an equivalent combination of education, training, and/or experienceRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experienceMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the positionLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.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. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links - visit anthropic.com/careers directly for confirmed position openings.How we're differentWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation