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Thaddeus Lee-Tyson

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Using my extensive DevOps experience to optimize AWS cloud environments | Ex-Capital One
Washington, District of Columbia, United States
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Résumé

Jobs verified_user 0% verified
  • Exostar
    DevOps Engineer
    Exostar
    Nov 2025 - Current (9 months)
  • Booz Allen Hamilton
    Senior DevOps Engineer
    Booz Allen Hamilton
    Sep 2022 - Nov 2025 (3 years 3 months)
    - Mentored a team of 7 engineers in automating AWS infrastructure with CloudFormation templates, reducing deployment time by 30% across environments - Encrypted and securely managed secrets in Amazon EKS (Elastic Kubernetes Service) using AWS Secrets Manager, ensuring secure retrieval of credentials for containerized applications connecting to RDS databases - Automated multi-region failover in AWS using Route 53, ensuring high availability and rapid disaster recovery by dynamically rerouting traffic to healthy regions during outages or infrastructure failures - Optimized Dockerfiles to cut down on image size, allowing for faster builds and deployments, and minimizing CPU and RAM usage on underlying EC2 instances by 30% Created CloudWatch mo
  • Novo
    DevOps Engineer
    Novo
    Apr 2022 - Sep 2022 (6 months)
    - Reduced mean time to detection (MTTD) by 40% by configuring Datadog agents across various AWS services (EC2, RDS, S3, Lambda) to monitor metrics such as CPU utilization, disk I/O, and network throughput - Utilized AWS Trusted Advisor to analyze and right-size EC2 instances, reducing monthly cloud spend by $2,000 - Defined and deployed AWS resources—including VPCs, EC2 instances, ECS clusters, IAM roles, and S3 buckets—using Terraform modules for reusable, maintainable infrastructure - Set up CloudWatch alarms and Datadog monitors for historical analysis of CPU throttling and memory leaks, enhancing infrastructure reliability and cutting mean time to recovery (MTTR) by 35% - Streamlined incident responses by automating alerts in Datadog w
  • Capital One
    DevOps Engineer
    Capital One
    Aug 2019 - Apr 2022 (2 years 9 months)
    - Automated build and deployment with Jenkins, reducing human error and improving deployment speed into production by 50% - Built Python Lambda functions to securely ingest and encrypt proprietary data in RDS, ensuring protection and scalability in compliance with PCI - Leveraged AWS Distributed Load Testing to simulate high traffic spikes and assess the performance of EC2 instances, ensuring optimal scalability and readiness for increased demand during peak traffic periods - Transitioned monolithic applications to microservices by building and deploying 20+ custom Docker containers and published to internal image registry - Created and managed IAM roles for secure access to critical enterprise cloud resources - Streamlined Infrastructure a
  • NFM Lending
    IT Intern
    NFM Lending
    May 2018 - Aug 2018 (4 months)
  • D
    Service Desk Technician
    Division of IT Help Desk University of Maryland
    Aug 2017 - Jun 2019 (1 year 11 months)
    • Work in a team of 30 in order to manage incoming help desk requests • Complete an average of 450 tickets per month with an average satisfaction rating of 4.2 stars • Troubleshoot technical issues, corroborate with knowledge base, and resolve issues.
Education verified_user 0% verified
  • University of Maryland
    Bachelor of Science - BS, Information Science
    University of Maryland
    Jan 2015 - Dec 2019 (5 years)