Added
27 days ago
Type
Full time
Salary
Salary not provided

Related skills

kubernetes distributed systems elasticsearch performance tuning information retrieval
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๐Ÿ“‹ Description

  • Architect, build, and optimize distributed systems capable of managing billions of documents and
  • Lead the evolution of the search platform by migrating legacy systems to modern architectures while
  • Establish robust engineering practices, including comprehensive monitoring, automated testing
  • Profile, diagnose, and resolve performance bottlenecks across infrastructure, databases, data
  • Design and improve data processing architectures that support real-time workloads, efficient
  • Strengthen system observability through effective monitoring, alerting, and reliability metrics to

๐ŸŽฏ Requirements

  • At least five years of experience building, deploying, and operating distributed systems in
  • Proven experience with large-scale data platforms, high-throughput systems, or infrastructure
  • Strong understanding of distributed systems fundamentals, including sharding, replication
  • Demonstrated ability to analyze and optimize performance, identify bottlenecks, and implement
  • Experience designing data pipelines, real-time processing systems, or database internals and
  • Proficiency in building observable, reliable systems with comprehensive monitoring, alerting, and

๐ŸŽ Benefits

  • The opportunity to own and influence a mission-critical search platform serving enterprise
  • Exposure to modern distributed systems, AI-driven market intelligence, and advanced information
  • Meaningful technical challenges involving billions of documents, high-throughput workloads
  • A collaborative environment with experienced engineers who value learning, knowledge sharing, and
  • The opportunity to drive architectural decisions, improve engineering standards, and make a
  • The chance to contribute to an innovative, internationally distributed technology organization
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