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.

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).

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 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.  

 

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 Qualifications:

• 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

Preferred Qualifications:

• 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: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings.  The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:

$140,000.00 - $160,000.00

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.