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Leidos · 1 day ago

Full Stack Software Engineer SME

Gaithersburg, MD

Full-time

Onsite

Senior Level, Lead/Staff

$131K/yr - $237K/yr

10+ years exp

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. They are seeking a highly experienced Full Stack Software Engineer Subject Matter Expert (SME) to create next-generation capabilities for GEOINT exploitation and analysis, guiding the team in delivering meaningful software solutions.

ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

Cloud environmentsGEOINT domain experienceAI/ML experienceFull-stack developmentJavaPythonReactKubernetesData visualizationTechnical leadershipCollaborationCommunication

Required

US citizenship 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

Active TS/SCI and successfully pass a Polygraph exam

Preferred

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), OGC standards (e.g., WFS/WMTS), and NSG systems