Software Engineer II

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What to Expect in this Position

• Contribute to a high-compute and volume data pipeline. FiscalNote is massively data-driven. We have teams working across our data pipeline from ingestion/scraping to data engineering/ML to search before it is made available to our users. Managing this dataflow and finding ways to validate and optimize our data is essential to our success.
• Integrate data/functionality across multiple software solutions. FiscalNote is a part of a broader suite of software services and offerings, each with its own market, but all aligned towards our broader vision. Deeply integrating our products, finding synergies and opportunities across multiple existing solutions, and building out new global services will solidify our positioning as an end-to-end offering.
• Push the limits of what it means to search. The kind of information our clients need and want access to, what is and isn’t important, is constantly evolving. Not only do they want more, they also want better. We need to be able to tell our customers more than “here is what you’re looking for” – we also want to be able to say “and this is why it matters.”
• Build web application functionality in Python/FastAPI and React/Next.js.
• Work with and integrate the latest Generative AI and LLM technologies.
• Work across teams to ensure cohesion and collaboration across R&D functions (Engineering, Product, QA, Data, etc.)
• Create experiences for demanding end users by applying your knowledge to deliver a world-class user experience
• Respond to QA, client success, and customer support requests to provide excellent customer service

What Sets You Apart

• Demonstrated ability to write code and solve problems through software
• 2+ years of applied experience or equivalent in the software development industry using a modern tech stack (we use Python/FastAPI, React/Next.js, etc.)
• Working knowledge of production and Cloud environments (we use AWS, Linux/Unix, Bash, nginx, etc.)
• Familiarity with common storage implementations (we use Mongo primarily, but also connect to Postgres, Elasticsearch, Redis, etc.)
• Familiarity with Generative AI and LLM technologies and concepts
• Technically curious, eager to learn, willing, and interested in trying new technologies