Full Stack Software Engineer SME

National Security Sector combines technology-enabled services and mission software capabilities in the areas of cyber, logistics, security operations, and decision analytics to support our defense and intel customers' mission to defend against evolving threats around the world. Our team's focus is to ensure our customers have the right tools, technologies, and tactics to keep pace with an ever-evolving security landscape and succeed in their pursuit to protect people and critical assets.

The Intelligence Production Solutions Division (IPSD), part of the Decision Advantage Solutions Business Area, is seeking a highly experienced, versatile, and visionary Full Stack Software Engineer Subject Matter Expert (SME) for the Maru Program.

In this role, you will join our innovative software team, creating next-generation capabilities for GEOINT exploitation and analysis. The ideal candidate will possess a strong blend of software engineering expertise, deep understanding of cloud environments, extensive experience in the GEOINT domain, and proven leadership abilities on software projects. This pivotal role involves acting as a day-to-day technical visionary and point-person, guiding the team to consistently deliver meaningful and compelling capabilities. You will be instrumental in architecting and developing cutting-edge solutions, leading technical initiatives, and engaging with diverse stakeholders to drive project success. In addition to leading, this is a hands-on role where you will be expected to write high-quality code and contribute directly to the software development lifecycle.

Position may be performed in the following locations below.

• Gaithersburg, MD
• Alexandria, VA
• Chantilly, VA
  
  

Clearance Level Required:

Active TS/SCI and successfully pass a Polygraph exam.

Primary Responsibilities:

• Architect and Develop Software: You will be responsible for architecting, designing, and developing robust, scalable, and secure full-stack software applications across diverse platforms (cloud, on-prem, edge), specifically for the GEOINT mission. As a core individual contributor, you will design, develop, and deploy complex distributed systems and highly interactive user interfaces.
• Lead AI/ML and Data Initiatives: Lead the design and implementation of large-scale data management platforms, including AI/ML and Generative AI models, ensuring agnostic deployment capabilities for geospatial image processing. You will also automate analytical workflows using GenAI orchestration and Retrieval Augmented Generation (RAG) techniques.
• Provide Technical Leadership & Hands-On Mentorship: Provide technical leadership, tasking, and mentorship to engineering teams, fostering a culture of technical excellence and continuous improvement within an Agile (SAFe) DevSecOps framework. You will set a high technical bar for the team through hands-on code and architecture design reviews.
• Collaborate and Communicate: You will collaborate with project managers, engineering teams, and customers to define requirements and ensure on-time delivery of project deliverables, adhering to customer Software Way and CORE methodologies. You will regularly present innovative ideas, product demos, and technical solutions to a wide array of audiences, including customer staff, potential customers, and high-level IC/DoD leadership.
• System Maintenance and Optimization: Perform maintenance, troubleshooting, and improvement of secure cloud environments and mission-critical GEOINT software projects. Drive the adoption of modern industry standards for build and deployment processes and continuous integration/continuous delivery (CI/CD) pipelines.
  
  

Basic Qualifications:

• ship is required per contract.
• Education: Bachelor's degree in Computer Science, Software Engineering, or related field and 12-15 years of prior relevant experience or Master's with 10-13 years of prior relevant experience.
• Experience: Proven experience in designing, developing, and maintaining complex applications and leading technical initiatives. Must have at least 5-7 years of professional experience as both a hands-on developer and technical leader.
• Cloud & Software Engineering: Extensive experience architecting, deploying, and maintaining distributed systems and cloud environments, particularly AWS (commercial, gov cloud, secure environments). You must be proficient with Kubernetes/Microservice-based architecture (e.g., OpenShift, EKS, Docker), managed services.
• Languages and Frameworks: Expertise in common object-oriented and scripting languages, with primary skills in Java, Python, and React. Experience with OpenLayers, SQL, and GitLab CI/CD pipelines is also required.
• Geospatial Analytics: Proven experience with geospatial image processing platforms and analytics.
  
  

Preferred Qualifications:

• Advanced AI/ML Experience: A strong mathematical background and extensive AI/ML and Data Science experience. Experience in modeling dynamical systems, developing novel modeling techniques, and applying Agentic AI for workflow automation is highly valued.
• Data Visualization: Skills in creating dynamic, highly interactive dashboards and visualizations that can handle massive, real-time datasets. This includes strong skills in GIS, Mapping, and Data Visualization.
• Geospatial Knowledge: Knowledge of GEOINT data formats (e.g., NITF, GeoTIFF, Shapefiles, KML), Ostandards (e.g., WFS/WMTS), and NSG systems.
  
  

At Leidos, we don't want someone who "fits the mold"-we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, "what's next?" before the dust settles on "what's now."

If you're already scheming step 20 while everyone else is still debating step 2... good. You'll fit right in.

Original Posting:

October 31, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $126,100.00 - $227,950.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.