Senior Full Stack Engineer
Posted Updated
- We are looking for a Senior Full Stack Engineer to join our team and play a pivotal role in shaping the future of DataOS. DataOS is the operating system for data and documents in asset-backed lending, a $5 trillion market ripe for modernization. Our platform helps standardize, verify, and store critical data and documents in a central repository serving both borrowers and lenders
- As a Senior Full Stack Engineer, you will own end-to-end development of high-impact features across the stack, from design through launch. You’ll work on client-facing, mission-critical functionality, including AI-driven features that accelerate document review, streamline data verification, and ensure data integrity
- Build systems that streamline the parsing, standardization, and movement of complex financial data
- Deliver client-facing and high-impact features, including responsible use of AI/LLM technologies to automate workflows while maintaining quality and compliance
- Collaborate closely with Product, Finance, and Leadership to shape our roadmap, working directly with your Tech Lead and having access to the C-Suite
- Invest in internal user experience: build and refine tooling that keeps the team productive and velocity high
- Partner with cross-functional teams to clarify scope, validate client expectations, and ensure impactful delivery
- You thrive when given autonomy, cutting through ambiguity and driving results without waiting for detailed requirements
- You move fast, experiment, and ship great products that solve real-world problems
- You obsess over the user experience and build with empathy
- You’re curious, ask clarifying questions, and collaborate closely with Product and business leaders
- Expertise in our modern tech stack, or similar: Python/Flask, TypeScript/React, Tailwind CSS, Data Warehouses, and tools for data and AI
- Demonstrated ability to rapidly prototype and iterate based on tight feedback loops
- Experience participating in a rotating on-call shift, with the ability to investigate, triage, and resolve immediate production issues
- Curiosity and practical experience with AI and LLM technologies, with a focus on their responsible use in production systems
- Strong Database / Data Warehouse / Data Integrity experience is a plus – focus on auditability and version control/change tracking for critical datasets
- Comfort operating in ambiguous, high-autonomy environments while driving clarity and progress
- Excellent communication skills – you ask the right questions, align stakeholders, and make complex ideas clear
- A strong ownership mindset – you take responsibility for end-to-end initiatives and see them through to completion
- A collaborative approach – you work effectively with teammates, welcome feedback, and contribute to team success
- 5+ years of full-stack software engineering experience with a proven track record of delivering production systems