Senior Software Engineer

Kepler • New York City, NY

10d

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 architect and build core systems that power Kepler's AI research platform. You'll own critical infrastructure: backend services that orchestrate AI workflows, data pipelines that process billions of data points, and the systems that financial professionals rely on for million-dollar decisions. You'll shape technical direction, mentor engineers, and drive architectural decisions that define the platform. This role is for engineers who want to build foundational technology at the intersection of AI and finance, where your technical leadership directly impacts how clients make critical business decisions. Within your first 90 days, you will: Own and ship a major production system end-to-end Drive architectural decisions that shape platform direction See your code power research at top financial institutions Mentor engineers and establish engineering best practices

Requirements

• 6+ years of software engineering experience shipping production applications at scale
• Backend: Python or Node.js, API design, PostgreSQL, AWS
• Architecture: Proven track record designing and scaling distributed systems
• Data: Large datasets, ETL pipelines, analytics infrastructure
• Technical leadership: Experience driving architectural decisions and mentoring engineers
• Practices: Git workflows, CI/CD, automated testing, observability
• Strong communicator who can articulate technical trade-offs to engineering and business stakeholders
• Product mindset: user-focused, iterates on feedback, solves real problems
• Thrives in fast-paced environments with high ownership

Nice To Haves

• Financial services experience preferred but not required

Responsibilities

• Architect backend systems: Design and build 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. Architect 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.
• Drive technical direction: Make architectural decisions, evaluate trade-offs, and establish patterns that scale across the platform.
• Own systems end-to-end: Architecture to production. Services, database optimization, deployment, monitoring, reliability.
• Optimize performance: Database queries, API response times, pipeline throughput. Build systems that scale to enterprise demands.
• Ship with production excellence: Comprehensive testing, monitoring, deployment pipelines. Set the standard for engineering quality.
• Mentor and grow the team: Code reviews, architectural guidance, and technical mentorship for junior engineers.

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