The OpportunityWe'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 DoDesign 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 optimize 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 QualificationsProgramming & 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 optimization, and multi-threading Proficiency in Python with experience creating FFI bindings (pybind11, ctypes, CFFI) Experience building production-grade libraries with clean APIs 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 Experience with build systems (CMake, Bazel) and package management Computational Geometry & MathematicsDeep 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 neighbor search) Knowledge of computational complexity and algorithm optimization Understanding of floating-point arithmetic and numerical stability Geospatial & DGGS ExpertiseSolid 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-Optimized GeoTIFF (COG) and raster processing Nice to HaveKubernetes experience for deploying and scaling geospatial services 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 optimization 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 optimization (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 Computational modeling 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 BigGeoShape an industry: Build solutions that change how organizations 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