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Performance engineer skills for your resume and career

Updated January 8, 2025

5 min read

Quoted expert

Junping Sun Ph.D.

Below we've compiled a list of the most critical performance engineer skills. We ranked the top skills for performance engineers based on the percentage of resumes they appeared on. For example, 16.2% of performance engineer resumes contained java as a skill. Continue reading to find out what skills a performance engineer needs to be successful in the workplace.

15 performance engineer skills for your resume and career

1. Java

Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.

Here's how performance engineers use java:

Prepared and executed functional test through SilkTest and Mercury QuickTest on Java application.
Developed enhancements to a Java based performance automation framework.

2. Linux

Linux is a Unix-like operating system. Just like Windows, Mac OS, and IOS, Linux is an operating system used by millions across the globe. Android itself is powered by the Linux operating system. Linux manages all the hardware resources that are associated with your computer. The software is famous because of the protection it grants from viruses, malware, and crashes. The Linux operating system is entirely free and is an open-source software meaning it can be altered by those equipped with the knowledge to code.

Here's how performance engineers use linux:

Developed system RAM usage profiling utility for an embedded Linux platform.
Aided in developing custom Linux distributions.

3. Performance Issues

The failure to meet the basic requirements of a job is called a performance issue. These issues are measured based on policies company culture and job objectives. Performance issues can broadly fall into either one or more categories quantity of work, quality of work, inappropriate behavior, and resistance to change.

Here's how performance engineers use performance issues:

Developed and coordinated implementation of client-approved action plans to address network performance issues and capacity concerns.
Provided valuable and timely feedback early in development cycle to identify potential performance issues.

4. Performance Analysis

Performance analysis is a discipline that involves methodical observations to boost performance and enhance decision making, largely delivered through objective statistical and data analysis.

Here's how performance engineers use performance analysis:

Produced production and development batch job activity and turnaround for daily and monthly reporting, performance analysis and service level agreements.
Create process documents for the production issue root-cause analysis from the Business monitoring dashboards to Production support dashboards and performance analysis

5. Profiling

Here's how performance engineers use profiling:

Developed application and system profiling strategies.
Install and configure diagnostic tools (HP Diagnostics and DynaTrace Diagnostics) and send profiling information to development teams for tuning.

6. JMeter

Here's how performance engineers use jmeter:

Involved in setting up the JMETER tool on various environments.
Based on business/functional specification execution of automated tools using Jmeter.

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7. CPU

Here's how performance engineers use cpu:

Identified and analyzed system bottlenecks like CPU utilization and Memory utilization with the help of DynaTrace.
Identified and analyzed system bottlenecks like CPU utilization and Memory utilization.

8. Splunk

Here's how performance engineers use splunk:

Used Splunk to look at errors in server logs and communicated those errors to technical team and developers.
Used Splunk for searching different events, exceptions from web logs and created dashboard for monitoring.

9. Test Results

Here's how performance engineers use test results:

Define limits for performance related system tests and review system development/qualification test results to validate the design analysis.
Created comprehensive performance test results report, and participated in meeting to certify application for production readiness.

10. Dynatrace

Here's how performance engineers use dynatrace:

Monitored and analyzed system performance during load tests using SiteScope and DynaTrace.
Performed front-end testing using Firebug and DynaTrace browser agents.

11. Unix

UNIX is a computer operating system that was first created in the 1960s and has been constantly updated since then. The operating system refers to the set of programs that enable a machine to function. It is a multi-user, multi-tasking device that works on computers, laptops, and servers. UNIX systems also have a graphical user interface (GUI), similar to Microsoft Windows, that makes it simple to use.

Here's how performance engineers use unix:

Provide statistical and impact analysis for new and existing business in Stratus VOS and Sun and IBM Unix Systems.
Maintained unattended performance test automation and reporting systems using Python, TCL, Perl and various Unix Shells scripts.

12. Debugging

Here's how performance engineers use debugging:

Involved in Performance testing, debugging, executing, analyzing complex applications using HP LoadRunner and HP ALM Performance Center.
Read and understand the Log files to verify the processes for debugging and/or test data verification purposes.

13. Test Data

Here's how performance engineers use test data:

Test data preparations and developing utilities to automate the data conditioning process.
Executed drive testing and perform optimization activities by analyzing drive test data.

14. Capacity Planning

Capacity planning is the process or method that balances the available hours of team members against the project or program that they need to accomplish. It comprises the resources to do the work or project and the necessities to complete a particular task. Capacity planning assesses the resources and the skill of the team to decide whether to hire or purchase additional resources, defer or delay the project, push through with it or cancel the project.

Here's how performance engineers use capacity planning:

Supported project management office in Technical Design decision making by providing application and environment performance and analysis and capacity planning.
Make recommendations related to capacity planning for network systems and customer connectivity* Act as point-of-escalation and contact for leadership as needed

15. Web Services

A web service is software that is available on the internet and uses a specific messaging system. A web service is a kind of service that is not bound to any specific programming language or operating system. Web services help every device to communicate over the world wide web.

Here's how performance engineers use web services:

Designed and developed Web Services for integrating with Common Origination and Disbursement system.
Performed functional testing of web service using the SOAPUI in a single test environment and directly used WSDL from the developers.

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What skills help Performance Engineers find jobs?

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What performance engineer skills would you recommend for someone trying to advance their career?

Junping Sun Ph.D.

Professor, Nova Southeastern University

Computer Science and its applications in various fields are very dynamic and constantly evolving, and anyone in the fields needs to prepare to be adaptive by lifelong learning.

Do you want to know more?

List of performance engineer skills to add to your resume

The most important skills for a performance engineer resume and required skills for a performance engineer to have include:

Java
Linux
Performance Issues
Performance Analysis
Profiling
JMeter
CPU
Splunk
Test Results
Dynatrace
Unix
Debugging
Test Data
Capacity Planning
Web Services
QA

Visualization
Test Scripts
Performance Bottlenecks
SQL Server
Test Scenarios
Jenkins
Azure
Test Cases
Ruby
Macro
Load Test
DB
JVM
UI
Jira
Web Application

XML
Test Execution
I/O
J2EE
Test Strategy
Stress Tests
End User Experience
Endurance
SLA
Regression
Virtualization
IIS
Citrix
Http
HTML

Updated January 8, 2025

Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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