Senior Full Stack Engineer

What you will do

Own features on Techstars OS end to end — design, build, test, and ship, from data ingestion and API layers through to the web app
Build AI-native features into the product: semantic and federated search across the network, retrieval over portfolio and founder data, and assistive workflows that surface the right context at the right moment
Lead the migration and shutdown of legacy founder tools — including Techstars Universe and our application management system — consolidating functionality into OS or retiring it cleanly
Work across our Enterprise Data Platform and OS to build the pipelines that feed real-time features, search, and AI use cases
Raise the floor on reliability and velocity: tests, code review, and CI/CD practices that hold up as the team grows — including how we fold AI coding tools into that loop
Act as a technical resource for the team — unblock others, weigh in on architecture, and keep context moving across time zones

What you bring

Strong TypeScript and Python, and the judgment to know when to reach for each
Solid React experience — you can build clean, functional UIs without a dedicated frontend team carrying you
Proficiency with relational databases: data modeling, migrations, and query performance under real load. We use PostgreSQL
Experience building data pipelines end to end — ingestion, transformation, and delivery to downstream consumers. We use event streaming, but experience with any comparable system transfers
Experience shipping LLM-backed features to production: retrieval, embeddings, and the evaluation loop that keeps quality honest. You understand the hard part is uncertainty, evidence, and recovery — not the API call
Comfortable operating containerized services in a major cloud with infrastructure defined as code. We run on GCP and AWS
A track record of owning features from zero to production, and of retiring old systems without breaking things downstream
Strong written communication and a high tolerance for autonomy — remote-first means writing well and staying aligned without being chased

Nice to have

Event-driven architectures and Kafka-based data platforms
Evaluation and observability for LLM features — you've had to answer "is this actually working?" with data
MCP or other tool surfaces that let agents act on production systems safely
Identity and auth systems (Keycloak or similar)
Search infrastructure (OpenSearch or similar)
Next.js and Material UI
Financial or investment data — venture capital, startup portfolio management
Prior work at an accelerator, investment firm, or high-growth startup