Senior Software Engineer

Kepler: AI you can trust and verify.

Every AI tool has the same flaw: the model touches the data. It guesses numbers, fabricates sources, and gives you a different answer every time you ask. For the people making million-dollar decisions, that's not a feature gap. It's a dealbreaker.

We built the architecture that makes hallucination structurally impossible. AI interprets your intent. Deterministic code retrieves every figure from source documents. The model never produces a number, so it can't get one wrong. Every output traces to a filing, a page, a line item. Every calculation shows its formula. Every answer is defensible.

Live in production. 950K+ SEC filings. 14K+ companies. 40M+ documents. 27 global markets. Trusted by firms that don't get to be wrong.

The architecture is domain-independent. Finance is first because the pain is sharpest. Healthcare, legal, insurance are next. Same system, new data sources. We're not building a finance product. We're building the verification layer for the entire AI stack.

Founded by Vinoo Ganesh (7 yrs Palantir, Head of Business Engineering at Citadel) and Dr. John McRaven (11 yrs Palantir, created the analytics engine behind $100M+ contracts with BP and Airbus, Ph.D. Physics). Backed by the founders of OpenAI, Facebook AI Research, MotherDuck, dbt, and Outerbounds.

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

• 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.

• 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

• Financial services experience preferred but not required

Don't check every box? Apply anyway. We prioritize problem-solving ability, systems thinking, and drive to build transformative agentic infrastructure.

Direct collaboration with engineers who built Palantir's core systems:

• Weekly 1:1s with founders and senior engineers

• Deep architectural reviews and guidance on system design

• Clear growth path toward staff engineering and technical leadership

• Shape the technical culture of a growing engineering organization

• Frontend: React, Typescript, Vite, Tailwind, Radix, TanStack, Zustand

• Backend: Rust, Node.js, Python, PostgreSQL, Redis

• AI/ML: OpenAI, Anthropic, MCP SDK,

• Infrastructure: AWS (S3, RDS), Docker, Temporal, Kubernetes, Dataflow

• Tools: Git, GitHub, Pulumi, Auth0, SharePoint
  

• 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
  

• Forward-Deployed with Product DNA: We own customer outcomes while building a product company. That means embedding, iterating, and deploying where our customers are. We don't win if they don't win.

• Extreme Ownership: Big vision, shared ownership. If you notice a problem, you own it. Authority comes from initiative, not job titles. Once you step up, you're accountable for the outcome.

• Production-First Engineering: We design for critical workloads from day one. Durable execution, blue/green deploys, automated rollbacks, continuous delivery with end-to-end observability. Every change lands safely and stays resilient under real-world load.

• Trust as the Default: People do their best work when confidence is mutual. We show our work, keep our promises, and flag risks before they bite. Trust isn't an aspiration. It's the baseline.

• Keep Raising the Bar: We block time for training, code-health sprints, and deep-dive tech talks. A sharper team and a cleaner stack pay compounding dividends. Continuous learning isn't a perk. It's part of the job.

Kepler is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.