Applied Full Stack Software Development Engineer

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.

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).

Please review the job details below.

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 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 

Minimum 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 fields 
• Minimum of 5 years demonstrated experience in software development, including design, development, and implementation 
• Proficiency in one multiparadigm programming language (Python, Java, Go, Rust, etc.) 
• Experience with data extraction, manipulation, visualization, and analysis of large datasets 
• Experience designing and supporting cloud-based architectures, including AWS and C2S environments 
• Experience developing and maintaining applications in cloud computing environments 
• Experience working with containerization and orchestration technologies, including Docker and Kubernetes, in cloud or hybrid environments 
• Proficiency in Linux-based environments 
• Demonstrated ability to lead small engineering teams and work both independently and collaboratively 
• Strong problem-solving mindset and adaptability, with the ability to leverage emerging technologies to solve mission challenges 
• Familiarity with modern software development tools, DevSecOps practices, and CI/CD pipelines 

Preferred 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 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 

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Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire.  If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. 

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.