Principal, Performance And Capacity Engineer (infrastructure & Platform)
Workday
Hybrid (at least 50% of the time in-office or field)
12+ years software engineering experience
Distributed system architecture design
Kubernetes production environment expertise
Workday is seeking a Principal, Performance and Capacity Engineer to lead the design and architecture of scalable frameworks for their core services, ensuring high performance and reliability. The role emphasizes hands-on technical leadership, innovation, and collaboration across teams, requiring extensive experience in distributed systems and cloud architecture
Job Summary
This role involves designing cutting-edge frameworks for capacity engineering to ensure Workday's critical services can scale rapidly across private and public clouds.
The successful candidate will provide senior technical leadership, mentoring engineers and guiding the team on best practices for building scalable, resilient distributed systems.
Workday offers a flexible work approach combining in-person and remote time, requiring at least half of the time each quarter to be spent in the office or with customers.
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 core services, ensuring high performance and reliability. The role emphasizes hands-on technical leadership, innovation, and collaboration across teams, requiring extensive experience in distributed systems and cloud architecture.
Skills & Requirements
Must-have
12+ years software engineering experience
Distributed system architecture design
Kubernetes production environment expertise
JVM internals and performance tuning
AWS and GCP cloud platforms
High availability system deployment
Nice-to-have
Mentoring senior engineers
Cross-functional collaboration skills
Continuous learning mindset
Cost optimization frameworks
Innovative problem-solving approach
Key Requirements
Bachelor's degree in Computer Science or related field
Master's degree strongly preferred
8+ years programming experience in Java, Python, or Go
5+ years designing complex distributed architectures