Applied Full Stack Software Development Engineer

Full Stack Software EngineerVantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).This position requires an active U.S. Government Security Clearance at the TS/SCI level.Do you enjoy being an integral part of solving mission-critical, real-world problems? Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us! Our solutions require innovative approaches that integrate bespoke capabilities and tools to solve our customers most complex challenges. We're seeking an experienced full stack software engineer to support work across the full analytical workflow. Technical tasks include ELT, managing, analyzing, and enrichment of large geospatial data sets to extract meaningful knowledge with cloud-based processing technologies and emerging AI/ML techniques.We want a self-motivated engineer who is comfortable digging into data, trying innovative approaches, and isn't afraid to fail fast and move on to other techniques/ideas.Responsibilities:Design and implement efficient, flexible solutions that can scale for mission critical applications.Active in all aspects of the development lifecycle, including planning, requirements development, software design, implementation and build, documentation, testing, deployment and maintenance.Apply software standards and processes to produce high quality, extensible, and maintainable software solutions.Work with cloud tech stacks to perform data extraction, manipulation, transformation; visualization of geospatial-temporal data setsDevelop analytics/derivative data products to help users extract meaningful knowledgeProactive approach to trouble shooting and problem-solving issuesCollaborate with diverse teams of engineers, clients, and usersMinimum Requirements:US citizenship and a current TS/SCI clearance (with willingness to get a CI Polygraph).Bachelor's degree in Computer Science or related technology fieldsMinimum of 5 years demonstrated experience in software development, including design, development, and implementationProficiency in one multiparadigm programming language (Python, Java, Go, Rust, etc.)Experience with data extraction, manipulation, visualization, and analysis of large datasetsExperience designing and supporting cloud-based architectures, including AWS and C2S environmentsExperience developing and maintaining applications in cloud computing environmentsExperience working with containerization and orchestration technologies, including Docker and Kubernetes, in cloud or hybrid environmentsProficiency in Linux-based environmentsDemonstrated ability to lead small engineering teams and work both independently and collaborativelyStrong problem-solving mindset and adaptability, with the ability to leverage emerging technologies to solve mission challengesFamiliarity with modern software development tools, DevSecOps practices, and CI/CD pipelinesPreferred Skills:Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence and mission-critical insights.Experience working with NoSQL data stores such as Elasticsearch, MongoDB, or similar technologiesAbility to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneouslyExperience with a designing and implementing a wide variety of geospatial trajectory processing, analysis (e.g., forecasting), and visualization approachesExperience designing, developing, testing, and deploying AI/ML or CV models across diverse data types