Máté Módos
The project entailed a strategic shift from traditional server-based architectures to a serverless computing model for a mid-sized fintech company looking to reduce operational overhead and increase scalability. This transition aimed to leverage cloud services to automatically manage the scaling and provisioning of resources, enabling the company to focus more on core product development and less on infrastructure management.
January 2023 - October 2023
Led the successful migration of over 50 distinct services to serverless computing, achieving a reduction in infrastructure costs by 55%.
Engineered solutions that improved system scalability, handling up to 1,000,000 concurrent users without the need for manual intervention in scaling.
Reduced latency by 40% for end-user transactions by utilizing edge computing capabilities provided by the serverless framework.
Pioneered a shift in the company culture to embrace cloud-native and serverless-first approaches for future development initiatives.
Optimized resource utilization, eliminating idle server time, and aligning operational costs directly with actual usage.
AWS Lambda, Amazon API Gateway, Amazon DynamoDB (Serverless Services)
Amazon S3, AWS CloudFront (Storage and Content Delivery)
AWS CDK, AWS CodePipeline (Deployment and Operations)
Python (Function Development)
Amazon CloudWatch, AWS X-Ray (Monitoring and Tracing)
AWS CDK (Infrastructure as Code)
The migration to serverless computing marked a pivotal transformation for the fintech company, directly aligning its operational capabilities with its ambitious growth targets. My multifaceted role in architectural design, team leadership, and hands-on software development was pivotal in the project’s on-time and under-budget completion, proving the value of serverless models in driving efficiency and innovation.