Backend Geospatial Software Engineer

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

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

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Posted Yesterday Remote Hiring Remotely in United States Mid level Remote Hiring Remotely in United States Mid level Build scalable Python backend services and distributed geospatial data pipelines for sonar and bathymetric datasets. Architect AWS cloud infrastructure, APIs, storage, and edge-processing systems for AUVs. Integrate AI/ML models for target detection and data classification, optimize cloud-native geospatial formats, and contribute to containerization, infrastructure-as-code, and CI/CD. The role bridges real-time onboard processing with post-mission cloud analysis. The summary above was generated by AI, 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.