Senior Software Engineer (TS/SCI)

Maxaar•Herndon, VA

1d•Onsite

About The Position

Vantor is seeking an experienced full-stack software engineer to support work across the full geospatial intelligence analytical workflow. The role involves extracting, managing, analyzing, and enriching large geospatial datasets to produce meaningful knowledge using cloud-based processing technologies and emerging AI/ML techniques. The engineer will develop innovative capabilities and tools to address complex, mission-critical customer challenges and should be comfortable exploring data, experimenting with approaches, and quickly adapting when a technique does not work. This position requires U.S. citizenship and an active U.S. Government TS/SCI security clearance. Applicants without the required clearance are ineligible; employment is contingent on verification of clearance status. The successful candidate must be willing to obtain a CI polygraph. Certain duties may also be subject to U.S. export control laws. The listed salary range is $185,000–$220,000, with starting pay determined by job-related factors and location. The application window is three days from posting and remains open until a qualified candidate is identified.

Requirements

U.S. citizenship and a current TS/SCI clearance; willingness to obtain a CI polygraph.
Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technology field.
At least 3 years of experience leading design or architecture of new and existing systems, including design patterns, reliability, and scaling.
At least 5 years of experience with one or more general-purpose programming languages, such as Python, Java, Go, or Rust.
Experience extracting, manipulating, visualizing, and analyzing large datasets.
Experience designing and supporting cloud-based architectures, including AWS and C2S environments.
Experience with containerization and orchestration technologies, including Docker and Kubernetes, in cloud or hybrid environments.
Demonstrated ability to lead small engineering teams and work independently as well as collaboratively.
Strong problem-solving mindset and adaptability, including the ability to leverage emerging technologies to solve mission challenges.
Familiarity with modern software development tools, DevSecOps practices, and CI/CD pipelines.

Nice To Haves

Experience 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.
Experience designing and implementing geospatial trajectory processing, analysis (such as forecasting), and visualization approaches.
Experience designing, developing, testing, and deploying AI/ML or computer vision models across diverse data types.

Responsibilities

Design and implement efficient, flexible solutions that scale for mission-critical applications.
Participate in all stages of the development lifecycle, including planning, requirements development, software design, implementation and build, documentation, testing, deployment, and maintenance.
Apply software standards and processes to deliver high-quality, extensible, maintainable software.
Use cloud technology stacks to extract, manipulate, and transform data and visualize geospatial-temporal datasets.
Develop analytics and derivative data products that help users extract meaningful knowledge.
Troubleshoot and solve problems proactively.
Collaborate with diverse teams of engineers, clients, and users.
Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence and mission-critical insights.