Quality Assurance Engineer II (Performance)

Role Overview

Quality Assurance Engineer II (Performance) focused on identifying and debugging application performance issues, validating systems across infrastructure configurations, and automating performance testing.

Responsibilities

• Identify low to moderate priority performance issues in complex application environments (debug errors; parse logs and stack traces).
• Reproduce complex issues by determining clear, step-by-step reproduction sequences.
• Collaborate with other divisions (e.g., support, sales engineering) to stay current on Ignition performance and learn common customer setups across industries.
• Debug multiple parts of the tech stack, including:
  • Web browser
  • Java applications
  • Mobile applications
• Analyze resource usage and performance bottlenecks.
• Use Wireshark for traffic filtering and packet analysis to troubleshoot network-related performance issues.
• Use virtualization and infrastructure tooling to simulate production-like environments:
  • Docker, Vagrant, Terraform
• Set up and query SQL databases (MS SQL Server, MySQL) to analyze data integrity and query performance.
• Maintain proficient testing coverage across relevant Ignition product areas.
• Collaborate with Developers, Product Managers, and QA Generalists to clarify requirements and provide feedback on functionality, usability, and performance.
• Identify, document, and track defects via issue tracking tools, ensuring clear communication and resolution.
• Keep testing approaches current with industry trends, tools, and technologies.

Requirements

• Bachelor’s degree in Computer Science/Engineering, or at least 4 years of related experience.
• 2+ years of experience in a performance-focused test automation engineering role.
• Performance testing experience with at least one of:
  • JMeter
  • K6
  • Gatling
• Experience with APM tools such as:
  • Grafana
  • Prometheus
• Strong understanding of HTTP/HTTPS and REST APIs.
• Strong programming knowledge in at least one language (including basic OOP, conditionals, functions), such as:
  • Python, Java/JavaScript, or C++
• Strong troubleshooting skills: logs/stack traces, performance issue isolation, reproducible steps.
• Experience coding in a modern IDE (Eclipse, IntelliJ IDEA, or PyCharm).
• Familiarity with the SDLC and its phases.
• Proficiency with Git and common source control workflows.
• Experience setting up and querying SQL databases (MS SQL Server, MySQL, or similar).
• Familiarity with Windows, Linux (Ubuntu), and macOS; debugging via command line and services.
• Experience deploying and debugging using:
  • VMWare, Docker Desktop, Kubernetes
  • Creating images, debugging containers
  • Working with persistent data (volumes)
• Experience with bug tracking systems and writing clear bug reports.

Nice to Have

• Experience using agentic AI (not required).