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Software Qa Automation Engineer Jobs in Dallas, TX

Dallas, TX ---- Hybrid Duration: 12+ months Locals Only QA Automation Engineer with AI Required Qualifications 10+ years as an Automation Engineer , SDET, Software Engineer, or FullStack Developer.

New

We are seeking an experienced Senior QA Automation Engineer with 10+ years of experience in Quality Engineering, Software Testing, and Test Automation. The ideal candidate will have strong hands-on ...

We are seeking an experienced Senior QA Automation Engineer with 10+ years of experience in Quality Engineering, Software Testing, and Test Automation. The ideal candidate will have strong hands-on ...

QA Automation Engineer Location: Irving, TX ( 3 days a week) Contract : 24 months Visa (only w2 with 12 months of visa validity) Must have Skills : QA- Selenium, advance SQL, Joins, indexes ...

We are seeking an experienced Senior QA Automation Engineer with 10+ years of experience in Quality Engineering, Software Testing, and Test Automation. The ideal candidate will have strong hands-on ...

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Software Qa Automation Engineer information

See Dallas, TX salary details

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$51

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How much do software qa automation engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for software qa automation engineer in Dallas, TX is $51.10, according to ZipRecruiter salary data. Most workers in this role earn between $42.26 and $58.99 per hour, depending on experience, location, and employer.

What are some common challenges faced by software QA automation engineers during test automation projects?

Software QA Automation Engineers often face challenges such as keeping up with frequent application changes, which can require constant updates to test scripts. Managing flaky or unreliable tests due to timing issues or unstable environments is another common hurdle. Additionally, integrating automated tests into CI/CD pipelines and ensuring adequate test coverage while balancing speed and reliability are ongoing concerns. Collaboration with developers and manual QA testers is crucial to address issues quickly and maintain effective communication throughout the development lifecycle.

What is the difference between Software Qa Automation Engineer vs Software Tester?

AspectSoftware Qa Automation EngineerSoftware Tester
Primary FocusDeveloping and maintaining automated testing scripts to ensure software qualityExecuting manual or automated tests to identify bugs and issues
Skills & CertificationsProgramming skills, automation tools (e.g., Selenium), scripting languagesTesting methodologies, basic scripting, attention to detail
Work EnvironmentCollaborates with developers, uses automation frameworks, often in Agile teamsPerforms test cases, reports bugs, may work in manual or automated testing environments

In summary, Software Qa Automation Engineers focus on creating automated tests to improve efficiency, while Software Testers primarily execute tests to identify issues. Both roles are essential for ensuring software quality but differ in their approach and technical requirements.

What are the key skills and qualifications needed to thrive as a software QA automation engineer, and why are they important?

To thrive as a Software QA Automation Engineer, you need strong programming skills (often in languages like Java, Python, or JavaScript), a solid understanding of software testing principles, and typically a degree in computer science or a related field. Familiarity with automation frameworks (such as Selenium, Cypress, or Appium), CI/CD tools, and version control systems like Git is essential. Attention to detail, analytical thinking, and effective communication help QA engineers identify issues, collaborate with development teams, and document results clearly. These skills ensure efficient test automation, software quality, and rapid delivery in dynamic development environments.

What is a software QA automation engineer?

Software QA Automation Engineers are professionals who design, develop, and execute automated tests to ensure the quality of software products. They use specialized tools and programming languages to create scripts that test software functionality, performance, and reliability. Their work helps identify bugs and issues early in the development process, making software releases more efficient and dependable. In addition to technical skills, they collaborate closely with developers and manual testers to improve overall product quality.

What job categories do people searching Software Qa Automation Engineer jobs in Dallas, TX look for?

The top searched job categories for Software Qa Automation Engineer jobs in Dallas, TX are:

Infographic showing various Software Qa Automation Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $106,296 per year, or $51.1 per hour.

QA Automation Engineer

Kairos

Dallas, TX • On-site

Other

Posted 3 days ago

New


Job description

Location: Dallas, TX  ---- Hybrid

Duration: 12+ months

Locals Only  

QA Automation Engineer with AI

 

Required Qualifications

10+ years as an Automation Engineer , SDET, Software Engineer, or FullStack Developer.

Strong coding skills in Python or Java with production grade engineering experience.

Handson frontend development experience (React, Angular, Vue, or similar).

Handson backend development experience with APIs, microservices, and distributed systems.

Expertise in API testing, contract testing, and service level automation.

Experience building automation frameworks from scratch.

Strong understanding of CI/CD pipelines and automated quality gates.

Experience with AWS services (EC2, Lambda, S3, IAM, CloudFormation/Terraform).

Experience integrating or building solutions using LLMs or Amazon Bedrock.

Agentic AI Experience: Hands-on experience building and deploying production-ready agentic applications or multi-agent workflows.

AI Orchestration Frameworks: Deep familiarity with agentic frameworks such as LangChain, CrewAI, AutoGen, or LlamaIndex.

Advanced AI Patterns: Solid understanding of LLM reasoning patterns, retrieval-augmented generation (RAG), function calling/tool execution, and agent memory management.

Familiarity with containers (Docker) and orchestration (Kubernetes).

Experience with frontend automation tools (Playwright, WebdriverIO).

Experience with distributed tracing and observability tools (CloudWatch, Datadog, OpenTelemetry).

Knowledge of performance testing tools (k6, Gatling, Locust).

Experience with eventdriven architectures (Kafka, SNS/SQS).

Background in security testing or chaos engineering.

Contributions to internal or opensource testing frameworks.