TL;DR

Performance Engineer (Backend): Building and optimizing performance analysis tools and automation for large-scale distributed systems with an accent on scalability, latency, and multi-tier application performance. Focus on designing efficient automation processes, debugging performance bottlenecks, and enhancing UI/mobile performance across diverse technology stacks.

Location: California - San Francisco, Los Angeles

Company

%hirify_global% is the #1 AI CRM company focused on innovation, workforce transformation, and driving customer success through AI-powered solutions.

What you will do

Analyze large-scale distributed environments to identify and optimize performance bottlenecks.
Develop and debug code to fix performance issues across multi-tier systems.
Enhance UI and mobile performance scalability to improve user experience.
Drive performance initiatives and evangelize best practices within engineering teams.
Design and build automation tools to repeat tests and detect regressions in production.

Requirements

3-7 years experience in performance engineering on large-scale systems
Proficient coding skills in Java, C, Python, Ruby on Rails, and modular design knowledge.
Deep understanding of JVM internals, GC mechanisms, and Java profiling tools.
Expertise in performance metrics including throughput, latency, memory, CPU, disk, and network.
Familiarity with NoSQL databases and transport systems like Spark, Storm, Cassandra, Kafka is a plus.
Location: California - San Francisco or Los Angeles

Nice to have

Strong knowledge of %hirify_global% products and platform features.
Experience using AI tools for automation and performance work.
Understanding of enterprise architecture principles.
Ability to explain technological and business concepts clearly.