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$160,100 – $285,100
Listed on Workday’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role focuses on designing and optimizing high-performance distributed systems that power Workday's core platform, handling mission-critical workloads at enterprise scale. It suits experienced engineers who excel at both architectural design and hands-on optimization, comfortable diving deep into profiling and performance tuning across the full stack from code to cloud infrastructure.
Our summary, not Workday’s wording. The full posting is on their site.
Skills this role names
- Amazon CloudWatch
- Amazon Web Services (AWS)
- Apache JMeter
- C++
- Datadog
- Go
- Grafana K6
- Java
- Memcached
- Microservices
- New Relic
- NoSQL
- OpenTelemetry
- Python
- Redis
- SQL
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What they ask for
Required
- Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
- 8+ years professional software development writing production-grade code in Python, Go, Java, or C++
- 4+ years designing and building scalable distributed microservices architectures
- Proven track record diagnosing and resolving complex performance issues including memory leaks and CPU bottlenecks
- Hands-on experience with profiling, tracing, and APM tools
- Strong expertise in database optimization, SQL/NoSQL queries, indexing, and multi-tier caching
Nice to have
- Understanding of how application code interacts with cloud infrastructure (AWS or GCP)
- Experience establishing micro-benchmarking, load testing, and stress testing practices in CI/CD pipelines
- Deep understanding of asynchronous programming, multi-threading, memory management, and distributed systems
- Demonstrated ability to drive design reviews and mentor mid-level engineers
- Strong analytical and problem-solving skills collaborating with platform and product teams