Daniel Maas is a Principal Engineer specializing in web platforms and distributed systems with 11+ years of experience building scalable services for enterprises like Salesforce and Target. He blends domain-driven design and pragmatic tool-choice across a broad stack (Kotlin, Java, TypeScript, Go, Kafka, CockroachDB, etc.) to design authentication/authorization, microservices, and high-throughput APIs. Known for lifting teams and architectures—leading multi-team efforts at Target to migrate monoliths to microservices and scale cart APIs to tens of thousands of RPS—he now architects OIDC auth servers and lead-generation platforms at Salesforce. An active open-source contributor, he has added RxJava support to the popular async-http-client and integrated Ratpack support into resilience4j, showing deep backend and framework-level expertise. Clients and peers rely on his systems-thinking: he moves beyond code to data modeling, CI/CD, performance testing, and measurable reliability improvements. Outside work he balances hands-on implementation with thoughtful design—“some doing, but mostly thinking”—which surfaces in both consulting engagements and widely used OSS contributions.
11 years of coding experience
16 years of employment as a software developer
MS Software Engineering, MS Software Engineering at University of Minnesota
B.S Computer Engineering and Computer Science, B.S Computer Engineering and Computer Science at University of Wisconsin-Madison
Resilience4j is a fault tolerance library designed for Java8 and functional programming
Role in this project:
Back-end Developer
Contributions:30 commits, 32 PRs, 79 comments in 3 years
Contributions summary:Daniel contributed significantly to the `resilience4j/resilience4j` project by adding support for the Ratpack framework. Their work included implementing annotation-based support for time limiters, circuit breakers, retries and rate limiters, demonstrating a solid understanding of the library's integration with the Ratpack framework. The user's contributions also involved enhancements like event handling and configuration options, and providing sample code. The user also worked on general configuration issues and added documentation.
Contributions:39 commits, 43 PRs, 94 comments in 4 months
Contributions summary:Daniel contributed to the `clouddriver` project, which involves read and write operations across cloud providers. Their commits focused on implementing operations related to Openstack instances, specifically instance termination, reboot, and registration with load balancers. The user also addressed bug fixes, validation improvements, and refactored server group operations to utilize LBaasV2. Their work included the use of Groovy for testing and implementation within the Openstack ecosystem.
gcpproviderscloudcloud-providersazure
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