Software Engineer

Kepler • New York City, NY

6h

About The Position

We're building the ground truth platform for AI. Generic tools hallucinate data, confabulate reports, and don't show their work. We made accuracy the only possible outcome: every answer traces to its source, every calculation is reproducible, every insight is defensible. We're starting in finance and building the foundational data layer for anywhere decisions depend on trustworthy data. Kepler was founded by two Palantir veterans (20 years combined) who built core parts of Gotham and Foundry, created Palantir Quiver (the analytics engine behind $100M+ deals with BP and Airbus), led major DoD projects, and served as Head of Business Engineering at Citadel. Kepler is backed by founders of OpenAI, Facebook AI, MotherDuck, dbt, Outerbounds, and others. The Role You'll build core systems that power Kepler's AI research platform. You'll work across the stack: backend services that orchestrate AI workflows, data pipelines that process billions of data points, and the infrastructure that financial professionals rely on for million-dollar decisions. This role is for engineers who want to build foundational technology at the intersection of AI and finance, where your code directly impacts how clients make critical business decisions. Within your first 90 days, you will: Ship your first production feature with senior mentorship Build and deploy a service that handles real financial research workflows See your code power research at top financial institutions Take ownership of a core system from architecture to production

Requirements

• 4+ years of software engineering experience shipping production applications at scale
• Backend: Python or Node.js, API design, PostgreSQL, AWS
• Architecture: Experience designing scalable systems and data models
• Data: Large datasets, ETL pipelines, analytics infrastructure
• Practices: Git workflows, CI/CD, automated testing
• Strong communicator who can discuss technical trade-offs clearly
• Product mindset: user-focused, iterates on feedback, solves real problems
• Thrives in fast-paced environments

Nice To Haves

• Financial services experience preferred but not required

Responsibilities

• Build backend systems: Scalable services that orchestrate AI workflows, manage data pipelines, and integrate with enterprise financial tools.
• Build enterprise data integrations: Ingest and normalize data from scattered sources: public filings, earnings transcripts, market data feeds, research reports. Build robust pipelines that transform fragmented data into a unified platform.
• Integrate AI into production: Language models and AI capabilities powering intelligent research workflows that augment human decision-making.
• Own features end-to-end: Design to production. Services, database optimization, deployment, monitoring.
• Optimize performance: Database queries, API response times, pipeline throughput. Build systems that scale.
• Ship with production excellence: Comprehensive testing, monitoring, deployment pipelines. You own reliability for what you build.

Benefits

• Comprehensive medical, dental, vision, 401k, insurance for employees and dependents
• Automatic coverage for basic life, AD&D, and disability insurance
• Daily lunch in office
• Development environment budget - latest MacBook Pro, multiple monitors, ergonomic setup, and any development tools you need
• Unlimited PTO policy
• "Build anything" budget - dedicated funding for whatever tools, libraries, datasets, or infrastructure you need to solve technical challenges, no questions asked
• Learning budget - attend any conference, course, or program that makes you better at what we're building

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed