Principal, Performance And Capacity Engineer (infrastructure & Platform)

Japan Match Job

Chennai, India
Hybrid (50% in-office, 50% remote)
Designing and scaling distributed systems
Jvm internals and performance tuning
Kubernetes in production environments
The job posting seeks a Principal, Performance and Capacity Engineer for Workday, a Fortune 500 company specializing in AI platforms. The role focuses on designing scalable frameworks and enhancing system performance, requiring extensive experience in distributed systems and architecture

Job Summary

  • The Capacity Engineering team is dedicated to driving capacity engineering to meet the continuous scalability requirements of the Workday stack, ensuring our resiliency and reliability are continuously strengthened.
  • As a Principal Technical Architect on the Capacity Engineering team, you'll be a pivotal leader, shaping the very foundation of Workday's scalability and reliability.
  • This is a unique opportunity to make a profound impact on Workday's core infrastructure, directly influencing the experience of millions of users and ensuring our platform remains world-class in performance and reliability.

Matching Summary

Match Score: 85

The job posting seeks a Principal, Performance and Capacity Engineer for Workday, a Fortune 500 company specializing in AI platforms. The role focuses on designing scalable frameworks and enhancing system performance, requiring extensive experience in distributed systems and architecture.

Skills & Requirements

Must-have

  • designing and scaling distributed systems
  • JVM internals and performance tuning
  • Kubernetes in production environments
  • cloud-native patterns on AWS and GCP
  • capacity planning and management

Nice-to-have

  • sun-drenched optimism and drive
  • courageous collaborators
  • continuous learning mindset
  • cross-functional teamwork

Key Requirements

  • 12+ years of experience in software engineering
  • 5+ years in designing complex distributed system architectures
  • 8+ years experience with Java, Python, or Go
  • Bachelor’s degree in Computer Science or related field
  • Deep understanding of Kubernetes
  • Expertise in distributed computing principles
  • Demonstrated technical leadership experience

Work Rights

Not specified

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