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The Geospatial Enterprise Open Data Store (GEODS) contract provides integration, design, development, and sustainment for data services in support of the Federal Government. Developers on GEODS routinely design and implement new custom features that solve unique problems, optimize legacy capabilities, and deliver enterprise-level data services. In this role, you will directly shape the evolution of the GEODS Catalog ecosystem and drive integration of advanced AI/ML solutions to enhance discovery, classification, and accessibility of mission-critical data.
Job Responsibility
Manage the full software release lifecycle, from preparation and build to deployment and post-release monitoring
Participating in code reviews and sprint planning meetings
Attending daily stand-up meetings to discuss progress and roadblocks
Write clean, well-documented code
Write unit and integration tests to ensure code quality
Contribute to technical documentation
Implement new features based on specifications
Analyze existing application processes and recommend improvements to enhance efficiency and effectiveness
Collaborate with developers, testers, and operations teams to prepare and produce timely and reliable releases of software components
Develop and execute test plans, support formal testing and resolution of defects
Provide technical support and consultation for application and infrastructure defects and questions
Requirements
Bachelor’s degree plus 2 years’ experience, Associate’s degree plus 4 years’ experience, or a minimum of 6 years of experience, in a related field
Experience in Amazon Webservice Platform and Technologies including SDK’s and CDK
Familiarity with GitLab
Ability to clearly communicate, verbally and in writing, complex technical concepts and challenges/obstacles in a clear and direct manner
Experience designing scalable APIs and backend services
2 years' experience in either Java (preferred), Python, or Javascript
Nice to have
Cloud certification(s), preferably from AWS, OCI or Google Cloud
Demonstrate ability to identify opportunities to leverage AI to improve development processes or infrastructure
Experience integrating AI into enterprise catalog systems