David KavanaghBackend Engineer

Engineering lead for the Payments team, responsible for the development and maintenance of the company's payment related systems. Spearheading the development of cloud-native applications on AWS, leveraging Rust for performance-critical components and TypeScript for seamless front-end and server-side logic.

• Leading the development of new payment features and integrations, ensuring seamless adoption by clients and internal teams
• Managing the team's technical roadmap and driving improvements in API functionality to enhance performance and developer usability
• Mentoring and guiding the team's engineers while establishing best practices for system reliability and security
• Utilizing Terraform to automate infrastructure provisioning and ensure scalability in dynamic production environments

Played a central role in developing a next-generation Authentication and Cardholder Verification System (ACS) tailored for secure and frictionless eCommerce transactions. Focused on delivering robust features using TypeScript and AWS, ensuring system security, performance, and scalability.

• Led the design and development of key system features, leveraging TypeScript and AWS to create a scalable and secure architecture
• Successfully spearheaded a migration project transitioning the codebase from JavaScript to TypeScript, improving code maintainability and robustness
• Collaborated with cross-functional teams to deliver mission-critical milestones on tight deadlines, balancing feature development with technical excellence
• Enhanced system reliability and performance through continuous optimization and rigorous testing

Contributed to the seamless integration of Salesforce's suite of tools into Slack, focusing on the development of user-centric Slack apps and robust backend systems. Leveraged TypeScript for building interactive Slack apps and Java/Spring for backend services, ensuring a cohesive experience for users.

• Developed highly interactive Slack applications using TypeScript, enabling intuitive user interactions with Salesforce services
• Built and maintained backend integrations using Java and Spring, ensuring reliability and performance across the system
• Implemented and managed infrastructure using AWS, Jenkins, and Terraform to streamline CI/CD pipelines and optimize deployment processes
• Provided technical leadership within the team, mentoring junior engineers and promoting best practices in coding and architecture

Specialized in maintaining and enhancing a distributed microservices architecture for Workday's integration runtime platform, focusing on high availability and performance. Actively contributed to the development of new features and the improvement of system reliability across large-scale deployments.

• Improved system reliability and performance by implementing key optimizations in the integration runtime platform, reducing latency and downtime
• Led the initiative to create comprehensive Scala onboarding materials, streamlining knowledge transfer for new team members and promoting efficient ramp-up
• Resolved high-priority production support issues, ensuring minimal disruption to clients and maintaining system SLAs
• Participated in architectural planning discussions, offering insights to shape scalable and maintainable solutions for complex problems

Engaged in research and development projects focused on creating proof-of-concept solutions for efficient data ingestion and indexing. Explored and implemented advanced techniques for handling real-time data streams and big data processing pipelines.

• Worked extensively with real-time data stream processing technologies to handle large volumes of incoming data with low latency
• Acquired hands-on experience in big data processing, focusing on scalability and performance optimization
• Developed and demonstrated prototypes utilizing Apache Spark for distributed data processing and Kafka for real-time data streaming