Principal, Performance And Capacity Engineer (infrastructure & Platform)

Evisort

Chennai, India
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Designing scalable frameworks
Technical leadership and guidance
System analysis and optimization
** Evisort is seeking a Principal, Performance and Capacity Engineer to lead technical efforts in ensuring the scalability and reliability of their infrastructure and platform. The role emphasizes architecture design for distributed systems and requires extensive experience in performance tuning and capacity management. **

Job Summary

  • 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.
  • Key responsibilities will include architecting scalable frameworks, providing senior technical leadership, conducting in-depth system analysis and optimization, cross-functional collaboration, and innovation & research.
  • 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: 75

** Evisort is seeking a Principal, Performance and Capacity Engineer to lead technical efforts in ensuring the scalability and reliability of their infrastructure and platform. The role emphasizes architecture design for distributed systems and requires extensive experience in performance tuning and capacity management. **

Skills & Requirements

Must-have

  • designing scalable frameworks
  • technical leadership and guidance
  • system analysis and optimization
  • Kubernetes in production environments
  • distributed computing principles
  • JVM internals knowledge
  • cloud-native patterns on AWS and GCP

Nice-to-have

  • curious minds and courageous collaborators
  • sun-drenched optimism and drive
  • continuous learning mindset
  • capacity planning frameworks
  • cost optimization frameworks

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
  • Proven ability to design technical architectures

Work Rights

Not specified

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