Experience
Support Services Systems Lead
L3Harris Technologies - GCCS | Jul 2026 - Present
Lead the GEO Cloud Compute Subsystem (GCCS) Support Services Systems organization across observability, infrastructure, shared services, and security under NOAA's Geostationary Ground Sustainment Services contract, whose original $275.2 million ceiling has increased to $545.9 million in base and options. Own the supporting systems that enable reliable and timely delivery of processed NOAA products.
- Manage more than 12 direct reports and over 30 engineers across the observability, infrastructure, shared-services, and security teams.
- Own the supporting-system strategy and delivery required for GCCS data operations to process and distribute products on schedule.
- Coordinate technical direction and execution across Amazon EKS, S3, EC2, ECR, RDS, IAM, and CDK-based infrastructure.
- Align cross-team security, platform reliability, and shared-service priorities with operational delivery commitments.
Skills: Amazon CloudWatch, Amazon DynamoDB, Amazon EC2, Amazon ECR, Amazon EFS, Amazon EKS, Amazon EventBridge, Amazon Inspector, Amazon Kinesis, Amazon RDS, Amazon S3, Amazon SNS, Amazon SQS, Amazon VPC, AWS, AWS Backup, AWS CloudTrail, AWS Config, AWS IAM, AWS KMS, AWS Secrets Manager, AWS Security Hub, AWS Systems Manager, Bash, CDK, Docker, Elastic Load Balancing, Git, Helm, Jest, Kubernetes, Node.js, PostgreSQL, PowerShell, Python, STIGs, System Architecture, System Hardening, TypeScript, Unit Testing, YAML
Financial context: Geostationary Ground Sustainment Services — $545.9 million in base and options, GOES-R Ground System — up to $1.833 billion
Additional information: NOAA SOLAR-1 mission
Infrastructure Team Lead
L3Harris Technologies - GCCS | Jun 2025 - Jul 2026
Led the nine-person GEO Cloud Compute Subsystem (GCCS) infrastructure team and owned the AWS foundation for migrating capabilities from the GOES-R ground system, developed under a contract valued at up to $1.833 billion, to the cloud. Delivered this work under NOAA's Geostationary Ground Sustainment Services contract, whose original $275.2 million ceiling has since increased to $545.9 million in base and options, while expanding the platform to distribute NOAA SOLAR-1 data.
- Managed nine direct reports and set implementation direction, schedules, and delivery priorities for the GCCS infrastructure team.
- Directed completion of the AWS infrastructure required to migrate operational GOES processing from the existing ground system to GCCS.
- Expanded the cloud platform to support distribution of real-time SOLAR-1 space-weather data alongside GOES products.
- Supported the formal transition of GCCS into operations and the Service Transition Readiness Review completed on June 24, 2026.
Skills: Amazon CloudWatch, Amazon DynamoDB, Amazon EC2, Amazon ECR, Amazon EFS, Amazon EKS, Amazon EventBridge, Amazon Inspector, Amazon Kinesis, Amazon RDS, Amazon S3, Amazon SNS, Amazon SQS, Amazon VPC, AWS, AWS Backup, AWS CloudTrail, AWS Config, AWS IAM, AWS KMS, AWS Secrets Manager, AWS Security Hub, AWS Systems Manager, Bash, CDK, Docker, Elastic Load Balancing, Git, Helm, Jest, Kubernetes, Node.js, PostgreSQL, PowerShell, Python, STIGs, System Architecture, System Hardening, TypeScript, Unit Testing, YAML
Financial context: Geostationary Ground Sustainment Services — $545.9 million in base and options, GOES-R Ground System — up to $1.833 billion
Additional information: NOAA SOLAR-1 mission
Cloud Infrastructure Engineer and Deputy Lead
L3Harris Technologies - GCCS | May 2024 - Jun 2025
Designed and implemented the cloud foundation for the GEO Cloud Compute Subsystem (GCCS), migrating capabilities from the GOES-R ground system developed under a contract valued at up to $1.833 billion. Served as deputy infrastructure lead and alternate lead under NOAA's Geostationary Ground Sustainment Services contract, whose original $275.2 million ceiling has since increased to $545.9 million in base and options.
- Designed and implemented the complete AWS cloud infrastructure in TypeScript with AWS CDK, including Amazon EKS clusters, S3 buckets, EC2 instances, ECR repositories, RDS databases, and IAM controls.
- Built the platform within an isolated cloud environment accessible only through controlled government interfaces while preserving the services required to process GOES data.
- Completed infrastructure work estimated at three months in less than one month, accelerating availability of the cloud processing environment.
- Served as deputy infrastructure lead and alternate team lead, supporting technical decisions, implementation coordination, and delivery continuity.
Skills: Amazon CloudWatch, Amazon DynamoDB, Amazon EC2, Amazon ECR, Amazon EFS, Amazon EKS, Amazon EventBridge, Amazon Inspector, Amazon Kinesis, Amazon RDS, Amazon S3, Amazon SNS, Amazon SQS, Amazon VPC, AWS, AWS Backup, AWS CloudTrail, AWS Config, AWS IAM, AWS KMS, AWS Secrets Manager, AWS Security Hub, AWS Systems Manager, Bash, CDK, Docker, Elastic Load Balancing, Git, Helm, Jest, Kubernetes, Node.js, PostgreSQL, PowerShell, Python, STIGs, System Architecture, System Hardening, TypeScript, Unit Testing, YAML
Financial context: Geostationary Ground Sustainment Services — $545.9 million in base and options, GOES-R Ground System — up to $1.833 billion
Additional information: NOAA SOLAR-1 mission
Senior Cloud Software Engineer
L3Harris Technologies - RFIMS | Sep 2021 - May 2024
Provided part-time reach-back support for the Radio Frequency Interference Monitoring System (RFIMS) while working at AWS, spanning completion of the development contract valued at up to $148.4 million and transition to a follow-on Operations, Maintenance and Sustainment contract valued at up to $49.0 million. Helped sustain security authorization, strengthen cloud-security practices, and keep customer delivery activities on schedule.
- Evaluated each deployed system against applicable NIST controls and supported the evidence and remediation work required to maintain Authorization to Operate.
- Trained internal team members on AWS and cloud tooling that streamlined investigation and resolution of security findings.
- Created internal technical and operational documentation that formed a reusable knowledge repository and accelerated onboarding for future team members.
- Supported customer meetings, communicated technical and security progress, and helped keep site-delivery schedules on track.
Skills: Ansible, AWS, Bash, Git, NGINX, NIST Risk Management Framework, POA&M Management, Presentation Proficiency, Python, STIGs, System Hardening, Work Instructions, YAML
Financial context: RFIMS Development — up to $148.4 million, RFIMS Operations, Maintenance and Sustainment — up to $49 million
Additional information: L3Harris spectrum-monitoring overview
Software Development Engineer
Amazon Web Services - Marketing Technology | Aug 2021 - May 2024
Developed a self-service marketing platform that helped AWS teams measure campaign impact, iterate faster, and create more precise customer communications. Improved the product's usability and extensibility while becoming the team's subject-matter expert for React and its internal CI/CD system.
- Led major UI and UX refactoring efforts and served as the team's subject-matter expert for React and the internal CI/CD system, guiding implementation and delivery practices across the team.
- Integrated the platform with an internal budget-approval system to connect campaign planning with financial authorization.
- Integrated customer-segment selection into the workflow, enabling marketers to build more precise campaign audiences.
- Built and tested Java and TypeScript features using AWS CDK, React, and Cypress.
Skills: Agile Scrum, Amazon API Gateway, Amazon Athena, Amazon CloudWatch, Amazon DynamoDB, Amazon EventBridge, Amazon Kinesis, Amazon OpenSearch Service, Amazon S3, Amazon SNS, Amazon SQS, AWS, AWS CodeBuild, AWS CodePipeline, AWS Glue, AWS IAM, AWS Lambda, AWS Step Functions, AWS WAF, CDK, Code Coverage, Continuous Integration, CSS, Cypress, Git, Integration Testing, Java, JavaScript, Jest, JUnit, Mockito, Node.js, Python, React, React Testing Library, TypeScript, UI/UX, Unit Testing, YAML
Chief Software Engineer
L3Harris Technologies - RFIMS | Jun 2019 - Aug 2021
Led an eight-person software team focused on turning the reusable Radio Frequency Interference Monitoring System (RFIMS) baseline from the original development effort, valued at up to $148.4 million, into an operational system. Owned technical direction, execution planning, security authorization, and deployment of the embedded collection and AWS classification system to operational sites.
- Directed the engineering work required to turn the development baseline across embedded collection systems and AWS GovCloud into an operational capability.
- Managed the software budget, schedule, and execution plan for an eight-person team using EVMS and Agile Scrum.
- Worked through NIST security controls and audit evidence to obtain Authorization to Operate for deployed systems.
- Coordinated internal teams and customer stakeholders to deliver software capabilities to operational sites.
- Resolved cross-team technical blockers while providing hands-on implementation support for high-priority work.
Skills: Agile Scrum, Amazon EC2, Amazon RDS, Amazon Route 53, Amazon S3, Amazon VPC, Ansible, AWS, Bash, Code Reviews, Elastic Load Balancing, EVMS, Factory Acceptance Testing, Git, HCL, JavaScript, MariaDB, NGINX, NIST Risk Management Framework, Node.js, POA&M Management, Python, React, Site Acceptance Testing, SQL, STIGs, System Architecture, System Hardening, Terraform, TypeScript, Unit Testing, YAML
Financial context: RFIMS Development — up to $148.4 million, RFIMS Operations, Maintenance and Sustainment — up to $49 million
Additional information: L3Harris spectrum-monitoring overview
Lead Software Engineer
Harris Corporation - RFIMS | Jul 2018 - Jun 2019
Led an 11-person team building the reusable, extensible Radio Frequency Interference Monitoring System (RFIMS) baseline under a development contract valued at up to $148.4 million. Designed the cloud architecture for radio-frequency data analysis across embedded collection systems and AWS, establishing a foundation that could be extended for future operational deployments.
- Designed major system components in MagicDraw and coordinated an 11-person team around a modular baseline intended for reuse in future operational deployments.
- Built the AWS architecture around EC2, Route 53, and RDS to host data-classification and workflow services.
- Replaced a Groovy workflow engine that could not meet throughput needs with a JavaScript and Node.js backend designed to scale more easily.
- Developed the JavaScript and React frontend used to operate and monitor processing workflows.
- Automated cloud infrastructure with Python and Ansible and established continuous integration for the project.
Skills: Agile Scrum, Amazon EC2, Amazon RDS, Amazon Route 53, Amazon S3, Ansible, AWS, Bash, Code Reviews, Continuous Integration, Git, Groovy, Integration Testing, JavaScript, MagicDraw, MariaDB, Mocha, NGINX, Node.js, POA&M Management, pytest, Python, React, SQL, STIGs, System Architecture, System Hardening, TypeScript, Unit Testing, YAML
Financial context: RFIMS Development — up to $148.4 million
Additional information: L3Harris spectrum-monitoring overview
Software Engineer
Harris Corporation - GWSAS | Sep 2016 - Jul 2018
Enhanced the Geostationary Weather Satellite Antenna Systems (GWSAS) operational weather-product processing under NOAA's $24.6 million Ground Readiness Antennas award and overhauled its deployment process. Reduced upgrades from a full day of engineering effort to less than an hour while diagnosing a customer-site data corruption issue that helped motivate the later RFIMS program.
- Automated deployments and configuration with Ansible, Bash, and YAML, reducing deployment time from a full day to less than one hour.
- Enabled customer teams to perform upgrades that had previously required direct engineering support.
- Traced corrupted weather products to radio-frequency interference at the receiving antenna.
- Connected the interference finding to spectrum overlap near GOES frequencies, helping establish the operational need for RFIMS.
Skills: Ansible, Bash, C, Code Reviews, Factory Acceptance Testing, Flask, Git, HDF5, netCDF, Python, RabbitMQ, Site Acceptance Testing, STIGs, System Hardening, Unit Testing, XML, YAML
Financial context: GWSAS Ground Readiness Antennas — up to $24.6 million
Software Engineer
Harris Corporation - GOES-R | Apr 2016 - Sep 2016
Led a performance-improvement study for NOAA's Geostationary Operational Environmental Satellites (GOES), specifically the GOES-R Series ground system developed under a contract valued at up to $1.833 billion. Prototyped a segmentation approach for its Oracle Coherence data grid that reduced average CPU utilization by a factor of 10 and demonstrated a path to support additional algorithm processing on existing infrastructure.
- Profiled CPU and memory utilization in the Oracle Coherence-based Data Fabric.
- Prototyped data segmentation by query name to reduce the amount of data held by each segment.
- Reduced average CPU utilization by a factor of 10 in the prototype, as documented in the GOES-R algorithm study.
- Established an implementation path for adding processing capacity without expanding the existing infrastructure.
Skills: ClearCase, Git, Java, Oracle Coherence, Performance Optimization
Financial context: GOES-R Ground System — up to $1.833 billion
Additional information: GOES-R algorithm study poster
Software Engineer
Harris Corporation - WxConnect | Jan 2014 - Apr 2016
Owned the system management, monitoring, and data-processing components of WxConnect, a direct-receive environmental satellite system deployed across 10 customer sites. Built the distributed services and space-packet assembly pipeline needed to control the system and process a 31 Mbps real-time stream producing approximately 1.8 TB of data per day, establishing capabilities that later evolved into the GWSAS project.
- Owned the management and monitoring component that reported system status and exposed centralized operational controls.
- Used Flask and RabbitMQ to connect distributed elements to a unified monitoring and control dashboard, and automated deployments and configuration with Ansible, Bash, and YAML.
- Owned the codebase that assembled incoming space packets from two 15.5 Mbps streams into a 31 Mbps processing pipeline.
- Processed approximately 1.8 TB of satellite data per day across 10 sites for a government customer.
- Implemented GOES and Himawari data-recovery workflows that produced netCDF files and helped establish the processing foundation for the later GWSAS project.
Skills: Ansible, Bash, C, Code Reviews, Flask, Git, HDF5, netCDF, Python, RabbitMQ, STIGs, System Hardening, XML, YAML
Software Engineer
Harris Corporation - Internal Research and Development | Jul 2013 - Dec 2013
Developed a Java prototype to determine whether Harris' service-based architecture, originally created for GOES-R, could support radar-data processing. The work redirected the architecture toward the next generation of GOES-R processing and ultimately contributed to the WxConnect program.
- Integrated the Advanced Radar Processing system with Harris' service-based architecture platform to evaluate whether it could support radar-data processing workflows.
- Used Ansible and YAML to automate prototype deployments and manage system configuration.
- Helped pivot the research toward improving the architecture for next-generation GOES-R data processing.
- Contributed prototype work that evolved into the WxConnect program.
Skills: Ansible, Code Reviews, Git, Java, YAML
Additional information: GOES-R service-oriented architecture paper
Research Assistant
Professor Charles Killian - TCP Keep-Alive Research | Sep 2012 - Dec 2012
Researched TCP keep-alive behavior across operating systems to understand how distributed applications detect silent node and network failures. Built C client-server test software, evaluated failure scenarios, and submitted the findings and implementation to the supervising professor.
- Implemented a C client and server to exercise TCP keep-alive behavior under controlled failure scenarios.
- Tested failures by interrupting client and server network connectivity after establishing active connections.
- Found that silent server failures could leave clients sending data without receiving a socket failure across multiple Linux distributions.
- Documented the results and submitted the test implementation to the supervising professor.
Skills: C, Distributed Systems, Network Testing, OS Programming, Software Testing, TCP/IP
Intern / Project Manager / Developer / Business Analyst
Boston Scientific - Clinical Study Data Migration | May 2012 - Aug 2012
Led the design and proof of a clinical-study migration process spanning project management, business analysis, and Perl development. Migrated several thousand records between Electronic Data Capture systems, established a production-ready approach, and supported a recommendation estimated to save tens of millions of dollars.
- Developed Perl tooling and migrated several thousand clinical-study records to prove the approach.
- Created work instructions and design documentation so the team could operate the migration process after the internship.
- Reviewed vendor solutions and built a cost-savings analysis estimating benefits in the tens of millions of dollars.
- Presented the recommended approach to the CIO and saw it adopted for production use.
- Continued providing technical guidance to the team after the internship as they operated the solution.
Skills: Code Reviews, Cost Savings Analysis, Design Documentation, Perl, Presentation Proficiency, SQL, Work Instructions