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Lead GCP operations and architecture for a mission-critical aviation platform. Provide day-two operational expertise, Tier 3 troubleshooting, Terraform and DevSecOps guidance, runbook and release-management support, and operational readiness improvements while working with Google advisors and customer teams to ensure platform reliability, resiliency, and secure near-real-time data exchange.

Design, implement, and maintain secure CI/CD pipelines, Infrastructure-as-Code (Terraform), and containerized cloud services. Integrate security throughout the SDLC, support deployment and operation of cloud-native data pipelines, manage vulnerabilities and secure configurations, implement cloud security controls and IAM, monitor system performance and compliance, and produce documentation and runbooks while collaborating with cross-functional teams in regulated environments.

Build and scale AI/ML-enabled features across frontend, backend, and data pipelines. Productionize ML models, deploy MLOps workflows, integrate inference APIs, optimize data models, ensure reliability, and collaborate with cross-functional teams for mission-critical analytics.

Design, build, and maintain secure, scalable cloud infrastructure and platform services (primarily in GCP) to support near real-time ingestion, processing, and analysis of high-volume time-series data. Implement containerized workloads, IaC (Terraform/Deployment Manager), CI/CD pipelines, cloud networking, IAM, and Zero-Trust controls. Troubleshoot production systems, collaborate with architects and stakeholders, produce documentation and runbooks, and ensure mission compliance in highly regulated environments.

Lead technical architecture and delivery of a Google Cloud-based, containerized, near real-time data platform. Design scalable, secure distributed systems, guide CI/CD and event-driven integrations, support engineering teams, produce architecture documentation, and liaise with mission stakeholders in a DoW environment requiring active clearance.

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.

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 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 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.

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.

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.

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.