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ALO

Software Engineer - Performance Engineering

Beverly Hills, California, United States

Location
Beverly Hills, California, United States
Work
Not stated
Employment
Not stated
Level
Not stated
Function
Engineering
Pay
$90K – $120K a year (read from the ad)
Posted
6 weeks ago

About the role

WHY JOIN ALO?

Mindful movement. It’s at the core of why we do what we do at ALO—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.

OVERVIEW

We are seeking a Software Engineer, Performance Engineering to join a team focused on improving the speed, scalability, and reliability of our web and mobile platforms. This is a fully hands-on technical role responsible for designing, executing, and scaling performance engineering practices across frontend and backend systems.You will work closely with digital, application, platform, and data teams to identify performance bottlenecks, implement measurable improvements, and embed performance best practices into development workflows.

RESPONSIBILITIES

  • Design, implement, and execute performance testing strategies, including load, stress, spike, endurance, and benchmarking tests for web, mobile and backend systems.
  • Use and maintain performance testing tools such as k6, Gatling, JMeter, Locust, and related frameworks to build reproducible and scalable test suites.
  • Analyze, Improve and resolve performance bottlenecks across the stack, including frontend rendering, APIs, services, databases, caching layers, networking, and distributed systems.
  • Drive backend and infrastructure performance improvements, focusing on latency, throughput, resource utilization, and system efficiency.
  • Integrate performance testing and regression detection into CI/CD pipelines, ensuring performance is continuously measured and protected.
  • Design and build profiling, tracing, and telemetry solutions, using observability tools.
  • Partner with engineering teams to identify and solve performance challenges, providing deep technical guidance and hands-on support.
  • Develop and lead adoption of performance engineering best practices across multiple teams, helping embed performance considerations early in design and development.
  • Design experiments, analyze performance data, and provide actionable recommendations, ensuring improvements are measurable and sustainable.

QUALIFICATIONS

  • 5+ year of experience in software engineering with strong focus on performance optimization, scalability, or observability.
  • Strong understanding of distributed systems concepts (caching, concurrency, queuing, resource contention, etc.).
  • 4+ years of hands-on experience with performance testing tools (e.g., k6, Gatling, JMeter, Locust) and familiarity with Core Web Vitals and frontend performance monitoring.
  • Experience working with metrics, logging, and tracing systems.
  • Strong debugging, profiling, and systems-level problem-solving skills.
  • Experience collaborating with frontend and backend engineering teams and supporting high-scale or consumer-facing platforms.

The base salary range for this position is $90,000-$120,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

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Source

Posted by ALO on their own hiring page, boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 02:00 UTC; the original is the reference.

View the original ad ↗

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