Backend Software Engineer Senior- FULL TIME REMOTE

Lockheed Martin is partnering with PG&E, Salesforce, and Wells Fargo to deliver EMBERPOINT™, an initiative designed to transform wildfire prevention, detection, and response across the United States. The role involves supporting the Unified HMI platform by building modern systems that integrate AI/ML insights and real-time operational data, while working across backend services and cloud integration.

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)
• 4+ years professional software development
• Proficiency in Python, Fast API, AWS, Oracle OCI, Kubernetes, Docker, Web Sockets, REST APIs, GitLab, and Linux
• 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
• Hands‑on data integration experience with Kafka, MQTT, AWS Kinesis/AppSync, REST/GraphQL, and experience handling high‑velocity streaming data
• Experience with micro services development
• 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)