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Develop, deploy, and maintain production AI/ML and Generative AI models on GCP for defense operations. Build MLOps infrastructure, RAG and multi-agent systems, LLM capabilities, secure model endpoints, CI/CD pipelines, evaluation frameworks, governance, and explainable AI controls. Optimize models and infrastructure for HPC, TPU, GPU, and edge environments while advising mission stakeholders and coaching teams on cloud ML integration.

Develop and maintain cloud-native Java and JavaScript applications supporting situational awareness and collaboration. Responsibilities include microservices development, full software lifecycle participation, testing, code reviews, Agile collaboration, system architecture, and technical initiative leadership. The role also involves mentoring junior developers, contributing to continuous improvement, and working with modern cloud and container technologies in a mission-critical environment.

Develops and executes software test and evaluation plans for data transport systems supporting intelligence and federal partners. Responsibilities include performance analysis, modeling and simulation, statistical analysis, event-level testing, data collection, configuration management, risk assessment, and creation of evaluation and T&E reports. Collaborates with software, systems, platform, administration, and test engineering teams to validate development and maintenance activities.

Designs, builds, and maintains cybersecurity log collection, management, and SIEM environments across on-premises and cloud systems. Responsibilities include configuring data pipelines, troubleshooting data flow, storage, and display issues, performing root cause analysis, maintaining uptime and versions, improving processes with automation, documenting systems, training team members, and supporting customers. The role requires occasional on-call work and collaboration across project phases.

Engineer and maintain mission-relevant data ingest and distribution pipelines across multiple networks. Configure ETL workflows, COTS/GOTS applications, databases, cloud systems, and CI/CD infrastructure. Troubleshoot production systems, hardware, protocols, and network connectivity while ensuring data reliability, low latency, and integrity. Collaborate with software developers, systems administrators, external providers, users, and stakeholders. Maintain system documentation, diagrams, monitoring, and operational workflows in an agile environment.

Designs, builds, and maintains secure, scalable cloud-native software tools and microservices on GCP. Leads subsystem architecture, API development, infrastructure deployment, CI/CD, monitoring, vulnerability remediation, and secure coding practices. Collaborates with data scientists, DevSecOps engineers, and mission owners, while mentoring junior engineers, conducting code reviews, and establishing technical standards and documentation.

Develops statistical and machine learning models to analyze complex operational datasets, identify trends, detect anomalies, and generate mission insights. Cleans and transforms heterogeneous data, validates predictive models, and collaborates with AI/ML engineers to operationalize solutions in multi-level security cloud environments. Works with data stewards on lineage, quality, and releasability; presents findings to technical stakeholders and senior leadership; and applies responsible AI principles, including bias detection, explainability, and fairness.

Design, build, test, and maintain secure, scalable cloud-native software tools and microservices on GCP. Develop APIs, integrate AI/ML outputs, manage GKE infrastructure using IaC, support CI/CD pipelines, monitor systems, address vulnerabilities, participate in code reviews, and document solutions. Collaborate with data scientists, DevSecOps engineers, security teams, and mission owners in a DoD intelligence environment.

Advise Air Force financial operations by reviewing budget requirements, translating business needs into functional requirements, testing system enhancements, analyzing root causes, documenting processes, supporting users, improving workflows, and ensuring compliance with DoD and Air Force regulations. The role requires expertise in federal budgeting, fiscal law, FIAR standards, DoD financial regulations, data analysis, business-process mapping, and Tier 2 system support.

Designs, implements, tests, and transitions secure endpoint solutions across physical, virtual, and cloud environments. Responsibilities include enterprise MDM, profile management, encryption, patching, automation, VDI troubleshooting, configuration compliance, architecture analysis, technology evaluations, documentation, and engineering-to-operations transition. The role supports modernization of classified IT infrastructure for the Defense Intelligence Agency and requires collaboration with operations teams and government stakeholders.