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Maintain and operate a DevSecOps platform supporting secure software delivery. Build and troubleshoot CI/CD pipelines, automate builds/tests/security scans, manage infrastructure-as-code, integrate security gates, monitor pipeline health, manage artifacts and source control, and document operational procedures across AWS with some Azure support.

Lead design and delivery of production AI/ML services and MLOps infrastructure for defense missions. Define standards, architect automated pipelines and model-serving platforms, ensure monitoring, governance, security, and scalability, and mentor engineering and data science teams.

The Solutions Architect will design and implement cloud-based platforms, support architecture decisions, and collaborate with teams to deliver technical solutions for mission-critical systems.

Lead API strategy, architecture, and governance for a Department of War modernization effort. Define API standards, security patterns, gateway configuration, versioning, monitoring, and reusable integration patterns using Apigee/Gravitee. Guide implementation across cloud-native, microservices, and event-driven systems while mentoring engineers and ensuring alignment with DoW policies and security requirements.

Lead design and implementation of Databricks-based lakehouse and scalable data pipelines using Python, PySpark, SQL, and Delta Lake. Define engineering standards, ensure data quality, governance, CI/CD, and security, optimize Spark workloads across cloud platforms, and mentor engineers for mission-critical DoW analytics and AI/ML workloads.

Design and govern secure, scalable RESTful APIs and integration patterns for enterprise distributed systems. Develop API specifications (OpenAPI/Swagger/JSON Schema), manage API gateways (Apigee/Gravitee), create governance and lifecycle processes, collaborate with engineering and cybersecurity teams to enforce security controls, monitor API performance, and ensure alignment with DoW reference architectures and mission requirements.

Design, build, and maintain Databricks-based lakehouse data pipelines and products. Develop ETL/ELT (batch and streaming) using Python, PySpark, Spark, SQL, and Delta Lake; manage notebooks, jobs, clusters, and CI/CD; implement data quality, monitoring, lineage, governance, and security to support analytics and AI/ML for mission-critical defense workloads.

Design, build, and maintain production AI/ML services and MLOps pipelines for defense missions. Develop model training, validation, deployment, monitoring, and serving capabilities; ensure security, scalability, reproducibility, and governance. Collaborate with engineers, scientists, and cybersecurity teams to operationalize models and troubleshoot production systems.

Lead design and delivery of scalable production data pipelines and data products (Spark/Python/SQL) on Databricks; integrate diverse federal health systems, define reusable ingestion patterns, ensure data quality/governance, mentor engineers, and troubleshoot/optimize production workflows.

Lead planning and delivery for a federal health data platform modernization effort. Coordinate across customers, partners, and technical teams; translate priorities into roadmaps, backlogs, milestones, and user stories; facilitate Agile ceremonies; manage scope, schedule, risks, dependencies, and reporting; support account management and business development activities.