Principal, Performance And Capacity Engineer (infrastructure & Platform)
Workday
Fully remote
12+ years software engineering experience
5+ years distributed system architecture design
8+ years java python or go programming
Workday is seeking a Principal, Performance and Capacity Engineer to lead the design and architecture of scalable frameworks for their infrastructure and platform, ensuring high performance and reliability for their services. The ideal candidate will have extensive experience in distributed systems, technical leadership, and performance optimization, along with a collaborative mindset. This fully remote position offers a supportive culture focused on growth and innovation
Job Summary
This role involves designing cutting-edge frameworks for capacity engineering to ensure Workday's critical services can scale rapidly.
The team fosters an environment of open communication, mutual support, and continuous learning where every member's contribution is valued.
Candidates will provide senior technical leadership, mentoring engineers, and guiding the team on best practices for building scalable distributed systems.
Matching Summary
Match Score: 85
Workday is seeking a Principal, Performance and Capacity Engineer to lead the design and architecture of scalable frameworks for their infrastructure and platform, ensuring high performance and reliability for their services. The ideal candidate will have extensive experience in distributed systems, technical leadership, and performance optimization, along with a collaborative mindset. This fully remote position offers a supportive culture focused on growth and innovation.
Skills & Requirements
Must-have
12+ years software engineering experience
5+ years distributed system architecture design
8+ years Java Python or Go programming
Deep Kubernetes production expertise
JVM internals and performance tuning knowledge
AWS and GCP cloud platform experience
Nice-to-have
Mentoring senior engineers and technical leadership
Continuous learning mindset for emerging tech
Cross-functional collaboration with product teams
Strong communication of complex concepts
Experience with cost optimization frameworks
Key Requirements
Bachelor's degree in Computer Science or related field
Master's degree strongly preferred
Proven track record of high availability system deployment