• Development and maintenance of Sofit View (fleet management SaaS): • Implement new features and enhance existing functionality in the system’s APIs and interfaces; • Fix bugs reported via internal tickets or identified through proactive monitoring; • Develop ad-hoc scripts for operational tasks or bulk corrections. • Monitor the health and performance of Sofit View APIs and databases; • Collaborate to identify and resolve performance bottlenecks; • Use tools such as CloudWatch, New Relic and MongoDB logs for investigation and diagnostics. • Participate in the team’s agile ceremonies, including dailies, plannings, retrospectives and refinements; • Collaborate on code reviews to ensure development best practices and maintainability; • Work closely with the product team and other developers to continuously evolve the application.

• Build integrations with healthcare and financial systems • Automate end-to-end data ingestion and delivery pipelines, with a strong focus on observability and data quality • Build GenAI features and chat to solve real problems and build user confidence, backed by rigorous evaluation loops and guardrails • Design high-throughput, low-latency systems where performance is a mission-critical requirement • Be the glue between our PhD-level Data Scientists and Front-end Engineers, taking raw outputs and building the APIs that drive a full, impactful product

Role Description SAIC has an immediate need for a Software Safety Engineer for the Precision Fires (PF) projects for performance of risk analyses and hazard analyses on integrated systems forming part of advanced weapons systems for the DoD. This position will be remote and support the team in Huntsville, AL. - Development of software safety targets and software safety requirements. - Execute hazard analyses required to support identification of software safety requirements in accordance with business standards and program/product objectives. - Development of specific application, generic application and generic product safety cases. - Document and communicate results of technical data generated to internal and external customers. - Co-ordinate the timely production of the necessary design safety documentation, especially the relevant safety cases and related documentation for approval milestones. - Conduct/facilitate PHA, FMEA, Fault Tree Analysis and other safety studies with Engineering groups. - Develop and maintain Hazard Tracking Log. Company Description SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. - We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. - We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. - SAIC is an Equal Opportunity Employer. - Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. - For more information, visit saic.com . - For ongoing news, please visit our newsroom .

Role Description FTI Defense is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments. Responsibilities - Software Design & Development - Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications. - Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular. - Write clean, testable, and maintainable code following secure coding and software engineering best practices. - Build and integrate modular microservices to improve scalability, maintainability, and interoperability. - Cloud & Containerized Environments - Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent). - Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management. - Contribute to secure deployments across hybrid or disconnected environments (IL4–IL6, AWS GovCloud, or on-prem). - Systems Integration & Distributed Computing - Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis. - Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases. - Collaborate with system engineers and architects to ensure interoperability across software ecosystems. - Data & Analytics Integration - Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships. - Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems. - Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML. - Security, Testing & Sustainment - Write, test, and deploy software within secure or classified environments. - Automate testing and monitoring to ensure performance, reliability, and repeatable deployments. - Support the transition of prototypes to operational systems, focusing on maintainability and observability. Qualifications - Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed. - 6-10+ years of professional software engineering experience. - 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments. - Strong full-stack or systems engineering background. - Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular. - Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines. - Complete understanding of distributed systems and message buses (Kafka, Redis, etc.). - Experience developing or integrating analytics and AI models into production systems. Preferred Qualifications - Experience deploying code in IL4–IL6 or edge/disconnected environments. - Familiarity with databases such as PostgreSQL, MongoDB, or graph databases. - Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK). - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field. - Active Secret clearance preferred; ability to obtain one is required.