Chesapeake Technology, Inc. | Remote — US
About Chesapeake TechnologyChesapeake 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 RoleWe'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 DoDesign 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
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
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
Competitive salary commensurate with experience. Benefits include health insurance, flexible PTO, and professional development opportunities.
Skills Required
- 3+ years of backend software engineering experience with Python
- Strong hands-on experience with AWS, including S3, EC2/ECS, Lambda, Step Functions, or equivalent orchestration
- Production experience with Dask for distributed or parallel computing
- Production experience with Xarray for multidimensional array data
- Understanding of geospatial data formats and coordinate reference systems, including GeoTIFF, NetCDF, shapefiles, WGS84, and UTM
- Experience building RESTful or GraphQL APIs
- Experience with containerized deployments using Docker and Kubernetes
- Experience with edge computing or embedded processing on resource-constrained platforms such as ARM or NVIDIA Jetson
- Familiarity with AUV or UUV systems, ROS or ROS2, or real-time sensor data processing
- Experience with marine survey, hydrographic, or oceanographic data
- Familiarity with sonar data processing, including sidescan, multibeam, or sub-bottom profiler data
- Experience with GDAL/OGR, Rasterio, or similar geospatial libraries
- Background in scientific computing or numerical methods
- Experience with ML/AI pipelines such as TensorFlow or PyTorch, including model optimization for edge deployment
- Familiarity with Zarr, Cloud-Optimized GeoTIFF, or other cloud-native data formats
- Experience with infrastructure-as-code using Terraform, CloudFormation, or CDK
- Active U.S. security clearance or ability to obtain one
What We Do
Chesapeake Technology develops SonarWiz, marine survey software for acquiring, processing, interpreting, and reporting sonar data. Its platform supports sidescan, sub-bottom, bathymetry, single-beam, and magnetometer systems, helping military, academic, geological, environmental, archaeological, pipeline, and marine-construction organizations conduct geophysical and hydrographic surveys. The company focuses on making sonar-data collection and interpretation easier through accessible tools, workflow automation, customer-driven innovation, and worldwide support.
