• Architect and evolve core backend systems—event ingestion, real-time risk evaluation, semantic search, and investigation-grade querying. • Design and optimize streaming data pipelines using Kafka, Redpanda, or similar technologies to support high-throughput, low-latency processing of LLM interactions. • Define and refine data models and schemas across structured (Postgres), analytical (ClickHouse), unstructured (S3), and vector (Qdrant) storage layers. • Identify architectural weaknesses and performance bottlenecks across ingest, indexing, and query layers; lead improvements to support scalability, correctness, and observability. • Implement data ingestion and transformation frameworks that support policy evaluation, semantic analysis, and dynamic response. • Optimize query performance, storage efficiency, and retrieval accuracy to support deep investigation and real-time enforcement. • Build and maintain backend APIs, monitoring infrastructure, and policy enforcement workflows that underpin the ThirdLaw platform.

• Creating new cost management features such as forecasts, anomaly alerts and cost allocations to make staying on top of costs a breeze • Developing reusable and robust UI components to make the cost exploration experience as seamless as possible • Building new data visualization capabilities to communicate performance, query timing and efficiency in novel ways • Building data pipelines and dbt models to surface new insights and opportunities to our users • Improving the reliability & performance of our application

• Creating new cost management features • Developing reusable UI components • Building data visualization capabilities • Improving application reliability & performance • Taking end-to-end ownership for features

• Lead engineering for one or more initiatives at Sierra. • Architect the stack, write clean code, and work with your teammates to do whatever it takes to ship great products. • Work closely with product managers, designers, and other engineers to take products from idea to production. • Help us grow our team and interview future candidates. • Mentor other engineers to level up our team.