• Build full-stack applications across our credit, private credit, and structured products platforms — backend services, APIs, data pipelines, and modern web front ends used by various business teams across the firm • Develop quantitative models and analytics for fixed-income and structured product valuation, cash flow projections, scenario analysis, and portfolio risk decomposition • Integrate third-party systems including Geneva (portfolio accounting), market data vendors, CRM platforms, and administrative platforms, design clean, well-tested adapters and reconciliation logic • Participate in the Migration of legacy .NET/C# applications and SSRS reports to modern, scalable architectures (TypeScript/React front ends, Python or .NET services, cloud-deployed) with responsive UX across desktop and mobile • Own data quality end-to-end - ingestion, normalization, validation, and lineage - for firmwide positions, partnering with the data management team on governance and controls • Build reporting and BI spanning Tableau dashboards, internal web tooling, investor reporting, and ad-hoc requests for portfolio composition and DDQ responses • Translate business needs into engineering — gather requirements directly from PMs, analysts, risk, IR, and operations; document functional and technical specs; write clear UAT plans and lead testing • Ship like an engineer - write tests, use source control (GIT/TFS), open clean PRs, manage tickets in DevOps, deploy through CI/CD, and monitor what you ship in production • Use AI coding assistants well - accelerate delivery, reduce boilerplate, and improve code quality, while applying the verification, security, and review standards described later in this document

• Build modern web applications - Design, develop, and maintain full-stack applications using React, JavaScript/TypeScript, Node.js, and AWS technologies. • Develop backend services and APIs - Build scalable services and integrations that connect applications with internal platforms, data services, and third-party systems. • Create great user experiences - Develop responsive interfaces and workflow tools that simplify complex business processes and data visualization. • Collaborate across teams - Partner with Product, Data Engineering, Analytics, and Data Science to translate business requirements into thoughtful technical solutions. • Write high-quality software - Develop clean, maintainable, well-tested code while participating in code reviews and following engineering best practices. • Contribute to technical design - Participate in architecture and design discussions, helping shape solutions that balance scalability, maintainability, and speed of delivery. • Continuously improve - Identify opportunities to improve application performance, deployment processes, developer experience, and internal workflows.

• Design a flexible and robust billing engine that adapts effortlessly to any use case. • Build plug-and-play payment and tax processor integrations. • Develop the complex infrastructure for rating and charging voice customers. • Design, develop and deploy GraphQL APIs intended for both internal and external use. • Develop, in collaboration with talented designers, delightful interfaces that make our reputation. • Collaborate with other legendary full-stack developers.

Role Description We are seeking a Full Stack Developer to build and scale Geolava's spatial intelligence products. This role sits at the intersection of frontend, backend, and product thinking. You’ll work across the full stack, leading the design and delivery of features end-to-end while helping shape how the product evolves. The focus is not just writing code, but understanding user problems deeply, making strong product and technical tradeoffs, and translating them into thoughtful, well-designed solutions. This role is scoped for an operator with high autonomy, ownership of complex product systems, and will help define engineering standards as Geolava grows. Responsibilities - Design and build scalable fullstack systems for enterprise and government customers. - Work across the stack, from designing APIs and orchestrating LLM agent workflows, to structuring robust data models that ensure a seamless connection to the user interface. - Own end-to-end feature development—from early design and implementation through deployment, monitoring, and iteration. - Work closely with cross-functional partners to understand requirements, refine technical scope, and drive successful, reliable feature delivery. - Collaborate closely with researchers and engineering teams to integrate reliability, evaluation, and guardrails into production systems. - Take ownership of ambiguous problems and drive them to practical, high-quality solutions. Qualifications - 5+ years of experience writing maintainable, production-quality code. - Full-stack fluency—productive across frontend (TS/React/Next.js) and backend (Python/Node.js/PGSQL), and can lead work across the stack without heavy dependency on others. - Strong product sense—think about why a feature exists, not just how to build it. - Shipper—can operate with high agency, owning problems end-to-end with minimal supervision. - Quality bar—think about edge cases, loading states, error handling, responsiveness, and interaction design. - Scrappy & Scaled—startup experience to build from zero with a nimble team, plus big-tech exposure to know what breaks when a product hits massive scale. - Clear communication—excellent skills in communicating technical trade-offs across the stack with clarity and precision. - AI-fluent—use AI coding tools daily and know how to wield them effectively as a multiplier in your development workflow. Requirements - Extensive backend experience with end-to-end ownership of Python-based services in production. - Experience building and maintaining ReAct-style agent loops/LangGraph equivalents. - Understanding of RAG and MCP systems, client/server tool negotiation and schema versioning. - Frontend development experience with TypeScript + React. - Experience with cloud infrastructure (AWS, including S3, ECR, Docker, EB; IAC is a plus). - Some experience with geospatial fundamentals such as GeoJSON, polygons, H3 spatial indexing, map libraries (Mapbox/Leaflet), and GDAL is beneficial. Benefits - Be at the cutting edge of Physical AI. - Take a central and critical role at Geolava. - Work with, and learn from, top-notch talent. - Competitive salary. - Excellent benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance.