Backend Software Engineer Senior- FULL TIME REMOTE

Lockheed Martin•Colorado Springs, AL

1d•Remote

About The Position

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. EMBERPOINT integrates artificial intelligence, advanced sensing technologies, real-time mission data, and cloud-based command-and-control capabilities to help detect fires earlier, improve operational coordination, and accelerate response and recovery efforts. To support this mission, Lockheed Martin Rotary and Mission Systems is seeking experienced Software Engineers to join our Unified HMI team within the Digital Production Environment. This effort is part of a unique Cross Business Area campaign that reflects our commitment to the OneLM strategy and the development of next-generation operational platforms. This position supports a full-time REMOTE telework arrangement, allowing employees to perform their work schedule remotely outside of a Lockheed Martin designated office or job site. As a Software Engineer supporting the Unified HMI platform, you will help build modern, mission-focused systems that fuse AI/ML insights, real-time operational data, and cloud-native infrastructure into a cohesive operational environment. You will work across backend services, middleware, DevSecOps, cloud integration, and real-time data processing activities to support systems that enable the full Detection → Prediction → Response → Recovery workflow.

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.
Must be a US Citizen for consideration.

Nice To Haves

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).

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.