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Senior Staff Performance Engineer

17 minutes ago
Ireland
Lead
QA Engineer
Software Development
Kubernetes
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Description

  • Lead deep performance investigations across distributed services, multi-region systems, and large-scale production environments.
  • Analyze latency, throughput, saturation, concurrency, and failure modes across data and control planes.
  • Partner with platform and infrastructure teams to improve runtime behavior, networking efficiency, container orchestration, and resource utilization.
  • Define performance standards, benchmarking strategies, and system-level expectations across engineering organizations.
  • Influence architectural and technical decisions that improve scalability, resiliency, and operational efficiency.
  • Design and evolve AI-assisted performance workflows that enable repeatable performance validation across systems and teams.
  • Develop scalable and cost-efficient performance testing frameworks that model real-world customer workloads.
  • Mentor engineers and raise the technical bar through collaboration, coaching, and engineering leadership.
  • Drive a culture of ownership, transparency, continuous learning, and operational excellence.

Requirements

  • 8+ years of software engineering experience with deep expertise in distributed systems and large-scale infrastructure.
  • Strong understanding of networking, concurrency, caching, replication, data structures, and scaling patterns.
  • Proven track record of identifying and resolving performance bottlenecks in complex production environments.
  • Experience designing and executing performance testing strategies for highly distributed systems.
  • Expertise with observability, profiling, tracing, benchmarking, and performance analysis tools.
  • Strong systems-level thinking with the ability to balance reliability, scalability, and cost efficiency.
  • Ability to influence technical direction across teams without direct authority.
  • Excellent communication and collaboration skills in highly cross-functional environments.
  • Willingness to learn and adopt cutting-edge technologies and AI-assisted engineering workflows.
  • Aptitude for solving ambiguous and highly complex technical challenges.
  • Experience optimizing cloud-native platforms running on Kubernetes or similar container orchestration systems (preferred).
  • Familiarity with performance engineering in financial technology or highly regulated industries (preferred).
  • Experience building AI-assisted engineering workflows or agent-driven validation systems (preferred).
  • Background working with multi-region architectures and globally distributed services (preferred).

Benefits

  • Competitive compensation details were not specified in the posting.
  • Opportunity to work in a fast-moving, creative, progressive environment with cutting-edge tools such as Claude Code and Cursor.
  • Work on high-impact platform and infrastructure challenges at a company building a modern system of record for investment managers.
  • Collaborative, high-performing culture that emphasizes ownership, transparency, continuous learning, and resilience.
  • Headquartered in Lake Tahoe with offices in New York, Reno, and the Bay Area.
  • Community-minded, discrimination-free equal opportunity workplace.

Interested in this position?

Apply directly on the company website

Apply Now

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