Senior Staff Systems Engineer - Performance Engineer - JVM

Nubank

Hybrid

Quick summary

Work type
Hybrid
Location
Palo Alto, CA · Miami, FL · Washington, DC · Durham, NC
Posted
today

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How this pay compares to similar roles

Similar $170k
$108k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $142,400–$197,775.

Based on 240 similar postings.

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About Nubank

Nubank is one of the world's largest digital financial services companies, offering credit cards, personal loans, savings accounts, and insurance to tens of millions of customers across Brazil, Mexico, and Colombia.

Nubank currently has 11 open roles on FindRole.

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TL;DR · Senior Staff Systems Engineer - Performance Engineer - JVM

As a Senior Staff Systems Engineer at Nubank, you will join the Performance team within the Computing Squad to tackle systemic bottlenecks and optimize resource efficiency in one of the world’s largest JVM-based microservice architectures. Your daily tasks include leading deep-dive performance investigations, developing advanced diagnostic tools using eBPF, JFR, and Flamegraphs, and collaborating with the orchestration team to align infrastructure strategies. You will need expertise in JVM internals, GC algorithms (ZGC, G1), Linux kernel scheduling, memory management, and concurrency issues. Additionally, you should be familiar with AWS cloud platforms and Kubernetes environments, contributing to innovative solutions that enhance system scalability and efficiency.

What you'll do

  • Conduct high-level performance analysis to identify and resolve systemic bottlenecks.
  • Drive initiatives to reduce infrastructure costs and latency by fine-tuning JVM parameters.
  • Develop advanced observability tools using eBPF, JFR, and Flamegraphs for real-time insights.
  • Optimize thread scheduling and manage resource isolation within Kubernetes environments.
  • Design innovative infrastructure improvements addressing long-term performance challenges.
  • Provide technical mentorship on JVM internals and performance best practices.

What we're looking for

  • Expertise in JVM internals, including JIT compilation and class loading.
  • Extensive experience with GC algorithms (ZGC, G1) for massive heaps and low latency.
  • Deep understanding of Linux Kernel scheduling (CFS/EEVDF) and thread management.
  • Mastery of heap/off-heap memory management and diagnosing complex leaks.
  • Experience developing advanced observability tools using eBPF, JFR, Flamegraphs.
  • Extensive knowledge of resource isolation with cgroups in Kubernetes environments.

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