Fullstack Software Engineer Sr. Staff - FULL TIME REMOTE

Lockheed Martin is partnering with major companies to deliver EMBERPOINT™, an initiative focused on transforming wildfire prevention and response across the United States. They are seeking experienced Software Engineers to support the Unified HMI team in building modern systems that integrate AI, real-time data, and cloud technologies.

Responsibilities:

• Build backend and middleware services to ingest and process real-time sensor, telemetry, and AI/ML data streams
• Develop and maintain cloud-native applications and integrations leveraging AWS services and modern software architectures
• Support DevSecOps activities including CI/CD pipeline development, automated testing, and deployment processes
• Develop unit, integration, and automation tests to validate functionality and system performance
• Participate in Agile and SAFe development activities including PI Planning, Scrum of Scrums, and System Demonstrations
• Collaborate with architects, AI/ML engineers, software developers, and stakeholders to ensure solutions support operational workflows and mission objectives
• Produce technical documentation including design specifications, API documentation, and implementation guidance

Requirements:

• B.S. in Computer Science, Software Engineering, Electrical Engineering, or related field (M.S. preferred)
• 8+ years professional software development
• Proficiency in C++ or C#, or Python
• Strong experience with React or Angular, UI-state management (Redux, NgRx), and WebGL/Three.js for 3-D visualizations
• Experience building and maintaining CI/CD pipelines (GitLab CI, Jenkins, Azure DevOps) and using static/dynamic security tooling
• Experience with Unit test frameworks and UI-automation
• Agile/SAFe execution, JIRA/Confluence, and ability to produce clear technical documentation
• Prior work on C2/Command‑and‑Control or operator console systems for aerospace, cyber‑defense, or critical infrastructure
• Hands‑on data integration experience with Kafka, MQTT, AWS Kinesis/AppSync, REST/GraphQL, and experience handling high‑velocity streaming data
• Experience with AWS services and Infrastructure‑as‑Code
• Familiarity with MBSE tools (Cameo → DOORS NEXT) and the ability to surface model‑derived data in the UI
• Background in AI/ML explainability visualizations integrated into the operator dashboard
• Experience with streaming real-time video
• Certifications: Microsoft Certified: Azure Developer Associate, AWS Certified Solutions Architect – Professional, IAAP CPACC (accessibility), or CISSP (security)