Software Developer – Geospatial, GIS

Responsibilities

• Develop and integrate Large Language Model (LLM) systems for use in geospatial analysis.
• Develop geospatial software solutions including applications which leverage the Open Data Cube (opendatacube.org).
• Develop solutions within the Amazon Web Services (AWS) ecosystem.
• Create Jupyter notebooks and web applications to support remote sensing analysis in various domains (including agriculture, water quality, urbanization).
• Design, build, and evolve software solutions in a distributed team environment using source control and sound software engineering principles.
• Work in a globally distributed, dynamic, highly collaborative environment with scientists and engineers.

Requirements

• BS (or higher) in Computer Science, GIS, Engineering, or related field.
• Experience with geospatial data management and analysis technologies: Python, Jupyter notebooks, web development, databases, cloud computing.
• Experience using and deploying Large Language Model (LLM) systems.
• Demonstrated experience developing customer-focused software for analysis.
• Experience developing geospatial software applications for remote sensing/GIS analysis.
• Experience with Python and other programming languages.
• Experience performing data science with Jupyter notebooks.
• Experience with machine learning.
• Knowledge of remote sensing concepts.
• Can work with and understand a wide range of geospatial data formats.
• Experience with optical/radar remote sensing datasets (including Landsat, Sentinel, etc.).
• Experience with web development technologies, relational & non-relational databases in Unix/Linux environments.
• Experience developing scalable cloud-based solutions (AWS, Azure, Google).
• Demonstrated competency in the use of software engineering principles applied to the entire SDLC.
• Ability to travel domestically and/or internationally, interfacing with users and external clients.

Qualifications

Desired qualifications include:

• Experience with geospatial data management and analysis technologies: Python, Jupyter notebooks, web development, databases, cloud computing.
• Experience using and deploying Large Language Model (LLM) systems.
• Demonstrated experience developing customer-focused software for analysis.
• Experience developing geospatial software applications for remote sensing/GIS analysis.
• Experience with Python and other programming languages.
• Experience performing data science with Jupyter notebooks.
• Experience with machine learning.
• Knowledge of remote sensing concepts.
• Can work with and understand a wide range of geospatial data formats.
• Experience with optical/radar remote sensing datasets (including Landsat, Sentinel, etc.).
• Experience with web development technologies, relational & non-relational databases in Unix/Linux environments.
• Experience developing scalable cloud-based solutions (AWS, Azure, Google).
• Demonstrated competency in the use of software engineering principles applied to the entire SDLC.
• Ability to travel domestically and/or internationally, interfacing with users and external clients.

Benefits

Benefits offered by AMA include:

• Paid personal and federally recognized holiday leave.
• Salary deferrals into a 401(k)-matching plan with immediate vesting.
• Tuition reimbursement.
• Short/long term disability plans.
• A variety of medical, dental, and vision insurance options.

Pay

The salary range for this position is $68k - $90k.

Schedule

This position is remote or located in Hampton, VA.