Software Development Engineer, Workday

• You’re a hands-on engineer who enjoys solving real-world problems with distributed systems
• You’ve worked with large-scale platforms before or are eager to and you're comfortable making practical trade-offs in performance, reliability, and complexity
• You care about writing clean, maintainable code and building systems that other engineers can trust and understand
• 5+ years of professional experience in software development engineering
• 3+ years working on distributed systems or data infrastructure
• Proficiency in one or more of: Java, Scala, Python, or Go
• Solid understanding of concurrency, multithreading, and performance tuning on Linux
• Experience with container orchestration (e.g., Kubernetes) and cloud-native infrastructure
• Familiarity with resource scheduling, autoscaling, or workload management in compute-intensive systems
• A collaborative mindset—someone who enjoys working across team boundaries and sharing ownership

Desirable

• We’re building a scalable, multi-tenant data platform that supports Apache Spark on both Kubernetes and YARN, serving diverse workloads across private and public clouds
• You’ll work on distributed systems that support massively parallel data processing, with a focus on performance, reliability, and simplicity at scale
• Design, build, and debug distributed software systems that run across multiple platforms and environments
• Develop tools and services that support efficient resource management, scheduling, and concurrency
• Work with technologies like Apache Spark, Kubernetes, and container-native infrastructure
• Balance system design trade-offs
• Collaborate across teams to deliver infrastructure that’s resilient, observable, and easy to operate
• Support large-scale data workloads with strong focus on performance, cost, and customer experience