Software Engineer, Test – Infrastructure III

Vail Systems

Quality Assurance Engineer developing automated test platforms and frameworks at Vail for voice interaction technology. Collaborating with engineering teams and providing technical leadership to improve software quality.

Posted 7/22/2026full-timeGreater Chicago Area • Illinois • 🇺🇸 United StatesMid-LevelSenior💰 $113,450 - $132,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable automation frameworks, optimizing CI/CD pipelines, and executing performance testing strategies. Proven ability to lead technical initiatives, mentor engineers, and enhance software testing through innovative solutions.

Highest-signal resume keywords

Automation Framework DevelopmentCI/CD Pipeline OptimizationPerformance Testing StrategyTechnical LeadershipDistributed Systems Understanding

ATS Keywords

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Hard Skills

RubyJavaC#/.NETC++PerlPythonJUnitTestNGSeleniumSQL

Soft Skills

Problem SolvingCollaborationMentoring

Tools & Technologies

JenkinsDockerKubernetesPyTestRSpecCucumber

Industry Keywords

Test AutomationQuality EngineeringAgileMicroservicesTelecommunications

Tech Stack

Tools & technologies

Distributed SystemsDockerJavaJenkinsJUnitKubernetesLinuxMicroservices.NETNoSQLPerlPythonRSpecRubySeleniumSQL

About the role

Key responsibilities & impact

Lead Automation Development: Design, develop, and maintain scalable, reusable automation frameworks that improve reliability, maintainability, and engineering efficiency across multiple products.
Own Complex Test Automation: Build and maintain automation for functional, integration, regression, and performance testing across distributed applications, APIs, and telecommunications platforms.
Advance Test Infrastructure: Enhance internal automation tools, testing libraries, and CI/CD workflows that improve quality, reduce manual effort, and accelerate software delivery.
Strengthen CI/CD Pipelines: Design and optimize automated test execution within Jenkins and containerized environments, ensuring dependable and repeatable validation throughout the software development lifecycle.
Analyze and Resolve Complex Issues: Investigate failures across applications, services, databases, and infrastructure using logs, metrics, and diagnostic tools to identify root causes and improve automation resiliency.
Lead Performance Validation: Develop and execute performance, load, and stress testing strategies that accurately model production workloads and identify system bottlenecks before release.
Collaborate Across Engineering: Partner with Software Engineering, Product Management, DevOps, and Operations to improve system quality, release readiness, and overall testability.
Provide Technical Leadership: Mentor engineers through code reviews, automation design discussions, and troubleshooting while promoting engineering best practices across the QA organization.
Drive Continuous Improvement: Lead initiatives that expand automation coverage, improve framework architecture, increase test reliability, and elevate engineering productivity.

Requirements

What you’ll need

Bachelor's or Master’s degree in Computer Science/Engineering or a related field, or equivalent experience
Experience: Typically, 4–7 years in software development, test automation, or QA infrastructure engineering.
Programming Skills: Strong proficiency in one or more of Ruby, Java, C#/.NET, C++, Perl, or Python.
Automation Frameworks: Experience designing, building, and maintaining scalable automation frameworks using JUnit, TestNG, PyTest, RSpec, Selenium, Cucumber, or equivalent technologies.
CI/CD & Containers: Experience developing and maintaining automated testing within Jenkins, Docker, Kubernetes, and modern CI/CD pipelines.
Distributed Systems: Strong understanding of distributed systems, REST APIs, microservices, Linux environments, and network fundamentals.
Performance Engineering: Experience developing and executing load, stress, and performance testing while analyzing application behavior under production-scale workloads.
Databases: Solid understanding of SQL and NoSQL databases for data-driven testing.
Problem Solving: Demonstrated ability to diagnose and resolve complex issues across multiple systems.
Technical Leadership: Experience mentoring engineers, leading code reviews, driving technical initiatives, and collaborating across Agile teams.
Preferred Qualification: Demonstrated experience leveraging AI technologies to enhance software testing, test automation, defect analysis, and engineering productivity, with the ability to drive AI adoption and best practices across a Quality Engineering team.

Benefits

Comp & perks

Multiple medical, dental, and vision plan options
Company-paid life insurance, short and long-term disability
401(k) savings plan with company match (50% on first 6% of employee contribution)
35 days total annual PTO
Annual Bonus Program
Paid maternity and paternity leave
Relocation allowance
Employee referral bonus
Gym membership
Technical and Professional Development stipend