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Remote Performance Engineer Jobs in Austin, TX (NOW HIRING)

ARM

Principal CPU uArch Exploration Engineer

Austin, TX · On-site +1

$241.10K - $326.10K/yr

The CPU Performance team is part of Arm's worldwide CPU development group. This diverse ... We offer a hybrid approach to remote, and office working and strive to provide an adaptable ...

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How much do remote performance engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote performance engineer in Austin, TX is $59.58, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $67.45 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Performance Engineer, and why are they important?

To excel as a Remote Performance Engineer, you need a strong background in software engineering, performance testing, and systems analysis, often supported by a degree in computer science or a related field. Familiarity with tools such as JMeter, LoadRunner, New Relic, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valuable. Exceptional problem-solving skills, attention to detail, and effective remote communication are critical soft skills for this role. These abilities ensure optimal system performance, efficient troubleshooting, and successful collaboration across distributed teams.

How does a Remote Performance Engineer typically collaborate with cross-functional teams to address system bottlenecks?

Remote Performance Engineers frequently work alongside developers, QA analysts, and operations teams to identify and resolve system performance issues. Collaboration is often facilitated through virtual meetings, shared dashboards, and ticketing systems, allowing for real-time discussion of bottlenecks and potential solutions. Engineers may be responsible for presenting their findings, recommending optimizations, and guiding implementation while ensuring all stakeholders are aligned on priorities. Effective communication skills and proactive documentation are essential to succeed in this remote, collaborative environment.

What are Remote Performance Engineers?

Remote Performance Engineers are specialized IT professionals who work from remote locations to monitor, analyze, and optimize the performance of software applications, systems, or networks. Their main goal is to ensure that digital products run efficiently and can handle user demand without slowdowns or outages. They utilize various tools and methodologies to identify bottlenecks, conduct testing, and recommend or implement solutions to improve overall system performance. These engineers often collaborate with development, operations, and QA teams to maintain high standards of reliability and speed for end users.

What is the difference between Remote Performance Engineer vs Remote QA Engineer?

AspectRemote Performance EngineerRemote QA Engineer
Required CredentialsBachelor's in Computer Science, experience with performance testing toolsBachelor's in Computer Science, experience with testing frameworks
Work EnvironmentDevelops and analyzes system performance, works closely with development teamsTests software quality, executes test plans, reports bugs
Employer & Industry UsageTech companies, software firms, e-commerce platformsSoftware companies, app developers, tech firms
Search & Comparison IntentPerformance optimization, system testing rolesSoftware testing, quality assurance roles

Remote Performance Engineers focus on optimizing system performance and analyzing bottlenecks, while Remote QA Engineers concentrate on testing software quality and identifying bugs. Both roles require technical skills and often work in similar tech environments, but their core responsibilities differ in focus and objectives.

What are the most commonly searched types of Performance Engineer jobs in Austin, TX? The most popular types of Performance Engineer jobs in Austin, TX are:
What are popular job titles related to Remote Performance Engineer jobs in Austin, TX? For Remote Performance Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Performance Engineer jobs in Austin, TX look for? The top searched job categories for Remote Performance Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Performance Engineer jobs? Cities near Austin, TX with the most Remote Performance Engineer job openings:
Remote Performance Engineer jobs near you
Infographic showing various Remote Performance Engineer job openings in Austin, TX as of May 2026, with employment types broken down into 85% Full Time, 5% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,920 per year, or $59.6 per hour.

Senior Data Performance Engineer (ETL developer with Performance tuning experience)

Argyle Infotech

Austin, TX • Remote

$138.70K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Senior Data Performance Engineer (ETL Developer With Performance Tuning Experience)

Location: Austin TX (Remote) Hire Type: Contract

Client Name: LPL Financials/Altimetrik

Key Skills to Evaluate – Ability to write complex SQL queries, DB query tuning questions, strategy/process to optimize large data volume processing time, ETL

Skill and Experience Required

  • Experience in consuming large data volume
  • Advance SQL skills
  • Optimize strategy process for data handling for aggregation tables (Minimize processing time for large data volume)
  • Experience in data loading with complex model for data and batch orchestration
  • Throughput understanding, monitoring for efficient data loading
  • Identifying bottlenecks and resource investigation
  • Experience in periodic ETL code maintenance and setting up SLA for cross functional team
  • Implementing necessary techniques to improve ETL performance in both DB and Application
  • Improving query performance by turning ad re-evaluating data model
  • Identifying dependency impact on both data and Application

Duties and Responsibilities

  • Performance analysis and documenting factors (bottleneck, memory handling and inefficiency area which needs improvement)
  • Identifying and documenting execution benchmarks and metrics
  • Optimization on application and database
  • Validation techniques for data and orchestration
  • Documentation for optimization and operations
  • Implementation alert mechanism in case of potential impact to downstream
  • Collecting and documenting the metrics for each ETL application

Apply