Full Stack Software Development Engineer

Vantor•Herndon, VA

1d•$140,000 - $160,000

About The Position

Vantor 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. 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 a full stack software engineer to support work across the full analytical workflow. 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.

Requirements

U.S. citizenship and an active TS/SCI clearance (willingness to obtain a CI Polygraph)
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience)
2–5 years of professional software development experience
Experience with at least one modern programming language (e.g., Python, Java, Go, Rust, or similar)
Experience developing, testing, and maintaining software applications
Familiarity with Linux development environments
Working knowledge of cloud platforms such as AWS or AWS C2S
Exposure to containers and containerization technologies such as Docker; familiarity with Kubernetes is a plus
Experience working with data processing, analysis, or visualization
Familiarity with Git, CI/CD pipelines, and modern software development practices
Strong analytical and problem-solving skills, with the ability to learn new technologies quickly
Ability to work effectively both independently and as part of a collaborative engineering team

Nice To Haves

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 technologies
Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously
Experience with a designing and implementing a wide variety of geospatial trajectory processing, analysis (e.g., forecasting), and visualization approaches
Experience designing, developing, testing, and deploying AI/ML or CV models across diverse data types

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 sets
Develop analytics/derivative data products to help users extract meaningful knowledge
Proactive approach to trouble shooting and problem-solving issues
Collaborate with diverse teams of engineers, clients, and users