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Junior​/Mid Software Engineer

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Gatewaygeo
Full Time position
Listed on 2025-11-29
Job specializations:
  • Software Development
    Software Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Location: St. Louis

Are you passionate about cutting-edge technology and solving complex problems? Join Gateway Geospatial Group (G3) as a Software Engineer and be part of an exciting new initiative. G3 is a dynamic startup specializing in geospatial technology, modern application development, cloud services, and data analytics. As a Software Engineer, you will have the opportunity to work on innovative architectures and contribute to the development of advanced applications using data modeling, machine learning, and data visualization techniques.

Be part of our agile team and shape the future of geospatial technology.

Responsibilities:
  • Take ownership of the application, including the user experience and creating sharp and responsive features.
  • Develop an existing application capable of supporting tens of thousands of map data points and multiple configurable data sources.
  • Collaborate to make open source capabilities available to restricted network users.
  • Contribute to the design, development, testing, and integration of the application to achieve mission goals.
Qualifications:
  • Active Top Secret clearance with SCI eligibility.
  • Experience in developing and implementing software enhancements for mission systems.
  • Ability to work collaboratively in a team-oriented environment.
  • Adaptability and willingness to learn new technologies.
  • Experience in writing or contributing to end development and deployment instructions.
  • Proficiency in Agile-based software development methodologies.
  • Ability to develop innovative solutions.
Desired

Qualifications:
  • Experience with cloud services and technologies, particularly in the geospatial domain.
  • Knowledge of geospatial technologies and data visualization techniques.
  • Experience with Dev Ops practices and tools for continuous integration and deployment.
  • Understanding of data modeling, machine learning, and artificial intelligence concepts.
  • Certifications in relevant programming languages or frameworks.
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