Senior Engineer Spatial Cloud Systems

About Big Geo

Big Geo is redefining geospatial intelligence with an AI-ready Discrete Global Grid System (DGGS) that transforms how spatial data is captured, indexed, and monetized. Our platform powers mission-critical decisions across sectors where location intelligence drives outcomes—from large-scale infrastructure projects and environmental planning to logistics and emergency response. We are industry agnostic, unlocking possibilities for organizations that have yet to realize the value a system like ours can deliver.

Backed by Vivid Theory, a venture studio dedicated to building transformative technologies, we're a multidisciplinary, entrepreneurial team built for impact. We work quickly, push boundaries, and expect every team member to be both a thinker and a doer.

We're seeking an exceptional Senior Engineer to help architect and accelerate our next phase of growth. In this role, you'll build solutions that change how organizations leverage real-time geospatial data, working at the intersection of computational geometry, high-performance computing, and cutting‑edge geospatial technologies.

• Design and implement production‑grade geospatial libraries with clean APIs and comprehensive documentation
• Build high‑performance C++ core systems with Python bindings for broad accessibility
• Develop and optimise computational geometry algorithms for large‑scale spatial analysis
• Validate and process complex geometries according to OGC standards
• Create deployment strategies and maintain CI/CD pipelines for geospatial services
• Collaborate across disciplines to deliver measurable results in high‑impact, real‑world scenarios

Programming & Software Development

• 7+ years of professional C++ development experience (C++14/17/20)
• Expert‑level understanding of modern C++ features, STL, templates, and design patterns
• Strong experience with memory management, performance optimisation, and multi‑threading
• Proficiency in Python with experience creating FFI bindings (pybind
  11, ctypes, CFFI)
• Experience building production‑grade libraries with clean APIs
• Senior Engineering Practices
• Advanced Git workflows and code review experience
• Proven experience designing deployment strategies for libraries and services
• Strong understanding of semantic versioning, backward compatibility, and API stability
• CI/CD pipeline development and management
• Comprehensive testing practices (unit, integration, performance)
• Experience with build systems (CMake, Bazel) and package management

Computational Geometry & Mathematics

• Deep understanding of computational geometry algorithms and data structures
• Strong foundation in linear algebra, differential geometry, and numerical methods
• Experience implementing geometric algorithms (convex hulls, spatial decomposition, nearest neighbour search)
• Knowledge of computational complexity and algorithm optimisation
• Understanding of floating‑point arithmetic and numerical stability

Geospatial & DGGS Expertise

• Solid understanding of coordinate systems, projections, datums, and transformations
• Experience with Discrete Global Grid Systems (H3, S2, or OGC DGGS standards)
• Knowledge of spatial indexing techniques and hierarchical grid structures
• Understanding of geodesic computations and spherical geometry

Geometry Validation & Processing

• Experience validating geometry according to OGC Simple Features specifications
• Ability to detect and repair invalid geometries (self‑intersections, duplicate vertices, incorrect winding order)
• Knowledge of topology rules and spatial relationships
• Experience with geometry simplification, buffering, and overlay operations
• Proficiency with GeoJSON, WKT/WKB formats

OGC Standards & Data Formats

• Working knowledge of OGC Simple Features Access (SFA) specification
• Understanding of Well‑Known Text (WKT) and Well‑Known Binary (WKB) formats
• Familiarity with OGC web services (WMS, WFS, WCS, WMTS)
• Experience with modern columnar formats (Geo Parquet, Geo Arrow)
• Proficiency with Cloud‑Optimised GeoTIFF (COG) and raster processing

Cloud & Infrastructure

• Kubernetes experience for deploying and scaling geospatial services
• Large‑scale cloud compute management (AWS, GCP, Azure)
• E…