Forward Deployed Engineer

Engineer solutions at client sites: Deploy and customize AI research workflows directly where critical financial decisions happen, rapidly prototyping solutions that push our platform's boundaries.

Drive product innovation from the field: Identify technical gaps while embedded with clients, then architect and implement new capabilities that become core product features.

Build enterprise integrations: Design complex integrations with client data infrastructure, research tools (Bloomberg, CapIQ), and proprietary trading systems.

Optimize platform performance: Scale our AI platform for client-specific use cases, solving complex performance challenges in real-world research environments.

Bridge field and product: Rotate between forward deployed work and core platform development, bringing field insights directly into our technical architecture.

Own critical deployments: Ensure our platform performs reliably for clients' most critical research operations, debugging issues across the full stack.

Financial services exposure: Previous experience working with financial firms or familiarity with research workflows.

Data platform experience: Background with large-scale data processing, ETL pipelines, or analytics platforms.

Rust development experience.

Startup experience where you owned features end-to-end.

Don't check every box? Apply anyway. We prioritize speed of learning, problem-solving skills, client empathy, and drive to transform how financial research works.

You'll be directly mentored by engineers who built Palantir's core systems. Expect:

Weekly 1:1s with senior engineers who've architected enterprise-scale distributed systems

Deep architectural reviews and guidance on agent system design

Clear growth path toward technical leadership and system ownership

Learn by building—production agentic systems that power real financial research

At Kepler, mentorship accelerates strong systems engineers into exceptional technical leaders.

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

AI/ML: OpenAI/Anthropic/OpenRouter Vector Databases

Infrastructure: AWS, Docker, Temporal, Kubernetes, Kafka, Apache Airflow

Monitoring: Datadog,

Tools: Git, GitHub Actions, Pulumi

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

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.