Senior Engineer Spatial Cloud Systems

About BigGeo BigGeo 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. The Opportunity 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. What You’ll Do 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 Required Qualifications 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 (pybind11, 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 (GeoParquet, GeoArrow) Proficiency with Cloud‑Optimised GeoTIFF (COG) and raster processing Nice to Have Cloud & Infrastructure Kubernetes experience for deploying and scaling geospatial services Large‑scale cloud compute management (AWS, GCP, Azure) Experience with distributed processing frameworks (Spark, Dask, Ray) Infrastructure as Code (Terraform, CloudFormation) Databases at Scale PostGIS competency for spatial database operations DuckDB experience for analytical geospatial queries Experience with distributed spatial databases and spatial indexing at scale Query optimisation for large geospatial datasets Python Geospatial Processing Advanced proficiency in GeoPandas, Shapely, Fiona, Rasterio, GDAL Experience creating Python bindings for C++ geospatial libraries Knowledge of Python performance optimisation (Cython, Numba) Advanced Technologies Experience with GEOS library, JTS algorithms, or CGAL Knowledge of OGC API standards and STAC Web development with WebGL, Deck.gl, Mapbox GL JS, or MapLibre Point cloud processing (LAS/LAZ, PDAL) Computational modelling and simulation frameworks Domain Experience Background in cartography, GIS, geodesy, or geomatics Experience with cadastral or parcel data systems Understanding of spatial statistics and geostatistics Familiarity with earth observation and satellite imagery processing Why Join BigGeo Shape an industry: Build solutions that change how organisations leverage real‑time geospatial data. See your work in action: Watch your contributions deliver measurable results in high‑impact, real‑world scenarios. Grow with a category leader: Be part of a venture‑backed company supported by Vivid Theory, a venture studio dedicated to building transformative technologies. Thrive in a high‑accountability culture: Work in an environment where autonomy and ownership are the standard, and results matter most. If you want to be part of a team that is rewriting what’s possible in geospatial intelligence, and you have the drive to build, scale, and innovate, BigGeo is where you can do the most meaningful work of your career. #J-18808-Ljbffr