Backend Geospatial Engineer

Backend Geospatial Software Engineer Chesapeake Technology, Inc. | Remote — US About Chesapeake Technology Chesapeake Technology is a 25-year leader in marine survey software, developing SonarWiz — the industry-standard platform for processing sidescan sonar, sub-bottom profiler, bathymetry, and magnetometer data. We serve commercial survey companies, research institutions, government agencies, and defense customers worldwide. We are currently building a next-generation cloud-native platform that brings AI/ML-powered processing to the browser, along with edge computing capabilities for real-time AUV data analysis. The Role We're looking for a Backend Geospatial Software Engineer to architect and build the cloud processing engine powering our new platform. You'll work on large-scale geospatial data pipelines — ingesting, transforming, and serving sonar and bathymetric datasets — using modern Python-based scientific computing tools on AWS. You'll also help design lightweight edge processing solutions that run onboard autonomous underwater vehicles (AUVs) for real-time sensor analysis and decision-making. High-impact role on a small, focused team where your work ships directly to production. What You'll Do - Design and implement scalable backend services for cloud-based geospatial data processing - Build distributed data pipelines using Dask and Xarray to process large multi-dimensional sonar datasets - Architect and optimize AWS infrastructure (S3, Lambda, ECS/EKS, Step Functions, SQS) for compute-intensive workloads - Develop edge computing pipelines for onboard AUV data analysis, enabling real-time target detection and adaptive survey planning - Design systems that bridge edge and cloud — syncing, validating, and enriching AUV-collected data post-mission - Develop APIs that serve processed geospatial data to the web-based frontend - Integrate ML/AI models for automated bottom tracking, target recognition, and data classification - Optimize data storage, compression, and retrieval for large raster and point-cloud datasets - Contribute to infrastructure-as-code and CI/CD pipelines What We're Looking For Required - 3+ years of backend software engineering experience with Python - Strong hands-on experience with AWS (S3, EC2/ECS, Lambda, Step Functions, or equivalent orchestration) - Production experience with Dask for distributed/parallel computing - Production experience with Xarray for multi-dimensional array data - Solid understanding of geospatial data formats and CRS (GeoTIFF, NetCDF, shapefiles, WGS84, UTM) - Experience building RESTful or GraphQL APIs - Comfort with containerized deployments (Docker, Kubernetes) Preferred - Experience with edge computing or embedded processing on resource-constrained platforms (ARM, NVIDIA Jetson, or similar) - Familiarity with AUV/UUV systems, robotics middleware (ROS/ROS2), or real-time sensor data processing - Experience with marine survey, hydrographic, or oceanographic data - Familiarity with sonar data processing (sidescan, multibeam, sub-bottom profiler) - Experience with GDAL/OGR, Rasterio, or similar geospatial libraries - Background in scientific computing or numerical methods - Experience with ML/AI pipelines (TensorFlow, PyTorch, or similar), including model optimization for edge deployment - Familiarity with Zarr, Cloud-Optimized GeoTIFF (COG), or other cloud-native data formats - Experience with infrastructure-as-code (Terraform, CloudFormation, CDK) - Active or ability to obtain a U.S. security clearance Why Chesapeake - High impact — your code processes real-world ocean data used by navies, researchers, and survey companies worldwide - Cloud + edge — work across the full spectrum, from scalable cloud infrastructure to real-time processing onboard AUVs - Greenfield platform — built from the ground up with modern tools, no legacy constraints - Small team, big ownership — direct influence on architecture decisions and product direction - Domain expertise — 25 years of sonar processing knowledge; you'll learn a fascinating domain - Flexible work — fully remote within the US with a collaborative, low-bureaucracy culture Compensation & Benefits Competitive salary commensurate with experience. Benefits include health insurance, flexible PTO, and professional development opportunities. Originally posted on Himalayas