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.
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.