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Leidos

Senior Full Stack Software Engineer

Leidos, Burke, Virginia, United States, 22015

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Description The National Security Sector is at the forefront of integrating technology-enabled services and mission software capabilities to support defense and intelligence initiatives. Our team's mission is to equip our customers with cutting-edge tools, technologies, and tactics to effectively address the dynamic security landscape and protect critical assets. The Intelligence Production Solutions Division (IPSD) is looking for a highly skilled and innovative Senior Full Stack Software Engineer Subject Matter Expert (SME) to join the Maru Program. In this impactful role, you'll collaborate with a forward-thinking software team to develop next-generation solutions for GEOINT exploitation and analysis. The perfect candidate will have substantial software engineering experience, a deep understanding of cloud environments, a strong background in the GEOINT domain, and a history of providing technical leadership on software projects. You will be a key technical visionary, guiding the team to consistently deliver meaningful capabilities. As part of your role, you will also engage directly in writing high-quality code and contributing to the software development lifecycle. The primary work location for the program is Gaithersburg, MD, where all candidates will need to start/ramp-up before transitioning to other Leidos locations. Gaithersburg, MD Alexandria, VA Chantilly, VA Clearance Level Required: Active TS/SCI and the ability to successfully pass a Polygraph exam. Primary Responsibilities: Software Architecture and Development : You will architect, design, and develop robust full-stack software applications that cater specifically to the GEOINT mission, ensuring scalability and security across various platforms such as cloud, on-premises, and edge environments. Lead AI/ML Initiatives : You will spearhead the design and implementation of comprehensive data management platforms, including AI/ML and Generative AI models, ensuring versatile deployment capabilities for geospatial image processing while automating analytical workflows with GenAI orchestration. Technical Leadership & Mentorship : Provide technical guidance and mentorship to engineering teams, promoting a culture of technical excellence through hands-on reviews of code and architectural designs. Collaboration and Communication : Partner with project managers and engineering teams to define requirements and ensure timely deliverables aligned with NGA methodologies. You will also showcase innovative ideas and technical solutions to diverse audiences. System Maintenance and Optimization : Oversee maintenance and optimization of secure cloud environments and mission-critical GEOINT projects while modernizing build and deployment processes. Basic Qualifications: US citizenship is required per contract. Education : A Bachelor's degree in Computer Science, Software Engineering, or a related field with 12-15 years of experience, or a Master's degree with 10-13 years of experience. Experience : Proven track record in designing and developing complex applications, with a minimum of 5-7 years of experience as a developer and leader. Cloud & Software Engineering : Extensive experience with distributed systems and cloud environments, particularly AWS, and proficiency in Kubernetes/Microservice architecture. Languages and Frameworks : Expertise in object-oriented and scripting languages, primarily Java, Python, and JavaScript, as well as familiarity with OpenLayers, Cesium, SQL, and Git. Geospatial Analytics : Demonstrated experience with geospatial image processing and analytics. Communication Skills : Exceptional verbal and written skills, capable of conveying complex technical concepts clearly. Problem-Solving : Strong analytical and problem-solving skills in fast-paced environments. Team Collaboration : Proven ability to collaborate and contribute positively in a team-oriented culture. Continuous Learning : A commitment to staying updated with emerging technologies and best practices. Mentorship : Demonstrated experience in mentoring junior engineers and conducting code reviews for quality assurance. Preferred Qualifications: Advanced AI/ML Skills : In-depth knowledge of AI/ML principles, especially with TensorFlow and experience in dynamical systems. Data Visualization Expertise : Skills in building interactive dashboards and handling real-time datasets. Geospatial Knowledge : Familiarity with GEOINT data formats and relevant standards. Leadership in R&D : Experience in driving ideation and proof-of-concept developments within the GEOINT confluence. DevSecOps Experience : Knowledge of DevSecOps methodologies and tools. At Leidos, we're not looking for someone who simply fits the mold. We're seeking innovators who aspire to reshape it and contribute to something remarkable. If you thrive in a fast-paced environment and are excited to explore the future of technology, we want to hear from you! Pay Range:

Salary range is $126,100.00 - $227,950.00 The Leidos pay range for this job level serves as general guidance and is not a guarantee of compensation. Factors that influence offers include job responsibilities, experience, and internal equity.