Senior Backend Engineer – High-Performance Data Engines

Celonis

San Francisco (CA)

Hybrid

USD 212,000 - 285,000

Full time

14 days+

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Benefits offered by this job

RSUs
Unlimited PTO
Hybrid work

Job summary

Celonis is seeking a Staff Software Engineer for the Backend team to build and optimize high-performance data processing systems. You will work on the core mining engine, implement new features, and improve the reliability and speed of existing components using C++17.

The role emphasizes designing scalable solutions for big data workloads, mentoring teammates, and contributing to a vibrant engineering culture in a hybrid work environment.

Qualifications

  • BS in Computer Science; Masters or Ph.D. preferred.
  • 8+ years of hands-on software engineering experience.
  • Significant background in database internals or building core components for large-scale data processing systems.
  • Proficiency in programming with C++ (17).
  • Analytical mind with strong data structures and algorithms understanding.

Responsibilities

  • Identify and implement novel query optimization, transaction management, or distributed data processing algorithms in the Core Mining Engine.
  • Analyze and understand performance and scalability bottlenecks and solve them.
  • Design and implement high-performance systems to handle increasing request rates on the database.
  • Write clean, testable code and provide feedback on peer designs.

Skills

C++17
Database internals
Big data processing
Analytical mindset
Curiosity

Education

BS in Computer Science
Masters or PhD preferred

Tools

ClickHouse
StarRocks

Job description

Celonis is seeking a Staff Software Engineer for the Backend team to build and optimize high-performance data processing systems. You will work on the core mining engine, implement new features, and improve the reliability and speed of existing components using C++17.

The role emphasizes designing scalable solutions for big data workloads, mentoring teammates, and contributing to a vibrant engineering culture in a hybrid work environment.

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