Lead Java Performance Architect for Fintech Payments

FIS

Jacksonville (FL)

Hybrid

USD 130,000 - 190,000

Full time

12 days ago
Application generator

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Benefits offered by this job

Impactful fintech work
Learning opportunities
Inclusive work environment
Community involvement

Job summary

FIS is seeking a Software Architect Lead in Jacksonville, FL, to own deep technical analysis of payment platforms under load and drive significant performance improvements. You will profile running systems, measure behavior and prove optimizations that boost throughput and reduce latency.

Join our Non-Functional Engineering team to shape architecture decisions, mentor engineers, and deliver fast, resilient systems at scale.

Qualifications

  • Strong hands-on software engineering with deep Java/JVM expertise.
  • Proven experience in performance engineering for complex systems.
  • Solid understanding of concurrency, memory management and I/O behavior.

Responsibilities

  • Profile Java applications end-to-end to identify hot paths and bottlenecks.
  • Analyze thread dumps and optimize locks, thread pools and contention.
  • Use metrics and logs to drive performance improvements across layers.
  • Prototype and validate optimization ideas for throughput and latency.
  • Provide architecture guidance for scalable, resilient platforms.
  • Collaborate with product and engineering teams to implement changes.

Skills

Java/JVM expertise
Performance engineering
Concurrency & GC understanding
Profiling & diagnostics
Clear technical communication

Tools

Java Flight Recorder
async-profiler
JProfiler

Job description

FIS is seeking a Software Architect Lead in Jacksonville, FL, to own deep technical analysis of payment platforms under load and drive significant performance improvements. You will profile running systems, measure behavior and prove optimizations that boost throughput and reduce latency.

Join our Non-Functional Engineering team to shape architecture decisions, mentor engineers, and deliver fast, resilient systems at scale.

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