Senior Software Engineer

Company: Simpson Thacher Bartlett Llp

Location: New York, NY (Remote)

Salary: $180k - $210k per year

Type: Full-time

Remote: Yes

Posted: 2026-09-30

About this role

The Senior Software Engineer will be a core member of the engineering team within the Knowledge & Innovation (K&I) department, responsible for designing, building, and operating the software systems that power the Firm's legal technology and AI initiatives. This role combines strong full-stack development skills with a focus on infrastructure, reliability, and the foundational systems that enable the team to ship and maintain production-grade tools at scale.

This role will work across the full stack — building custom applications for attorneys and Professional Staff, establishing the engineering infrastructure that the team relies on (CI/CD, deployment pipelines, observability), and contributing to the design and implementation of AI-powered solutions. The Senior Software Engineer will collaborate closely with the Director of Engineering, data scientists, knowledge management professionals, and practice solutions teams to deliver tools that make a measurable difference in how the Firm operates.

This is a hands-on, high-autonomy role on a small team where every engineer has significant ownership over the systems they build.

JOB DUTIES & RESPONSIBILITIES:

Software Development & Architecture

  • Design, develop, and maintain custom software solutions supporting Knowledge & Innovation initiatives, including AI-powered tools, internal platforms, and integrations with existing Firm systems.
  • Contribute to architectural decisions in partnership with the Director of Engineering, bringing practical perspective on tradeoffs between speed, reliability, and maintainability.
  • Build and extend integrations across SaaS platforms, internal systems, data sources, and AI/LLM services used in legal workflows.
  • Develop frontend experiences that are polished, consistent, and designed with care — including establishing and maintaining component libraries and design system foundations as the team's product surface grows.

Infrastructure, Reliability & Observability

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