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Architect, implement, secure, and optimize scalable AWS cloud infrastructure across multiple classification domains. Lead cloud governance, automation, monitoring, risk management, and architecture efforts while translating requirements into solutions. Mentor cloud engineers, troubleshoot complex infrastructure issues, prepare operating instructions and training, and collaborate with technical and non-technical stakeholders. The role requires extensive AWS expertise, infrastructure-as-code, cloud security, containerization, scripting, and active TS/SCI clearance with CI Polygraph.

Design, implement, and improve integrated NOC/SOC capabilities. Monitor enterprise infrastructure and security using Microsoft Sentinel, Defender, Azure Monitor, and SIEM tools. Lead incident investigation, triage, and response. Develop detection rules, dashboards, runbooks, and automated SOAR workflows using PowerShell, Python, KQL, and Azure Logic Apps. Maintain SOPs, KPIs, compliance with NIST RMF, and collaborate with stakeholders to resolve operational and security issues.

The Sr. Director of Homeland Strategy & Growth leads growth strategies in National Security, builds relationships with key stakeholders, manages opportunities, and collaborates with teams for successful outcomes.

Administer and optimize PostgreSQL databases across on-premises and cloud environments. Manage performance tuning, backups, replication, recovery, high availability, disaster recovery, security controls, auditing, schemas, indexes, and permissions. Support Kubernetes clusters, containerized operations, CI/CD automation, and production reliability for mission-critical federal applications. Communicate risks and recommendations while participating in Agile delivery and maintaining operational continuity.

Serves as chief technologist for enterprise software architecture, AI/ML systems, data, and integration. Owns technical baselines, roadmaps, architecture decisions, design control, and modernization initiatives. Leads MLOps, model lifecycle, evaluation, risk management, cloud migration, deployments, and enterprise integration while ensuring security, reliability, interoperability, and compliance. Authors technical artifacts, drives proofs of concept and assessments, mentors engineers, and coordinates technical goals within a SAFe Agile environment.

Own enterprise technical strategy, architecture baselines, roadmaps, and design governance across software, AI/ML, data, cloud, and integrations. Lead MLOps and model lifecycle patterns, modernization, cloud migration, interoperability, security-by-design, IV&V, deployments, and technical assessments. Author architecture and compliance artifacts, establish performance and reliability targets, mentor senior engineers, and coordinate technical goals with program and release train leadership in a SAFe Agile environment.

Leads enterprise software architecture and AI/ML integration strategy, defining technical baselines, roadmaps, reference architectures, guardrails, and architecture decisions. Develops MLOps and model lifecycle patterns, oversees cloud migration, APIs, data pipelines, security-by-design, interoperability, deployments, IV&V, and compliance artifacts. Chairs design and change control, conducts proofs of concept and technical assessments, mentors senior engineers, and coordinates technical delivery with program and release leadership in a SAFe Agile environment.

Serve as the Salesforce architectural authority for a large-scale modernization program. Define platform architecture, configuration and development standards, integration and data strategies, security governance, and DevSecOps practices. Design multi-cloud Salesforce solutions spanning Service, Experience, Data Cloud, and AI capabilities. Lead solution design sessions, code reviews, and technical deep dives while contributing hands-on to Apex, LWC, OmniStudio, Flow, integrations, and data models. Guide AI-enabled engineering using Einstein and Agentforce.

Act as the primary customer-facing business analyst for a portfolio of applications: gather and translate requirements into user stories, work closely with developers, map and optimize processes, document system requirements, perform testing, and support federal customers through agile delivery.

Build and maintain embedded camera systems and on-device software for video intelligence products. Responsibilities include embedded Linux bring-up, camera drivers and capture pipelines, synchronized video, audio, and sensor telemetry, resilient data delivery, sensor integration, fieldable device prototyping, power and thermal management, documentation, testing, and communicating design decisions to engineering teams, leadership, and customers.