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Software Testing Engineer Jobs in Texas (NOW HIRING)

Aquent

Software Developer Engineer Test

Austin, TX · On-site

$54 - $60/hr

Strong experience with API testing, UI automation, service validation, integration testing, end-to ... Experience as a Software Development Engineer in Test on an Agile Scrum, Kanban, or scaled Agile ...

3M

Sr. Application Security Testing Engineer

Austin, TX · On-site +1

$164K - $201K/yr

Sr. Application Security Testing Engineer Collaborate with Innovative 3Mers Around the World ... Three (3) years of experience in application security or secure software development in a private ...

3M

Sr. Application Security Testing Engineer

Austin, TX · On-site

$164K - $201K/yr

Sr. Application Security Testing Engineer Collaborate with Innovative 3Mers Around the World ... Three (3) years of experience in application security or secure software development in a private ...

Civic Canvas

Software Engineer

Houston, TX · Remote

$105K - $130K/yr

We are seeking a talented Software Engineer to join our engineering team and help design, build ... Experience with software testing practices, including unit and integration testing. Working ...

Lumiture

Test Automation Specialist

San Antonio, TX · On-site

$41.75 - $55.25/hr

Support the software development lifecycle through testing, documentation, defect tracking, and continuous improvement * Learn and apply best practices in automation engineering, quality assurance ...

Belcan

Junior Software Engineer

Frisco, TX · On-site

$75K - $110K/yr

Work alongside experienced engineers to support verification, validation and automated testing activities. * Contribute to software quality initiatives throughout the development lifecycle. * Gain ...

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All JobsSoftware Testing Engineer JobsSoftware Testing Engineer Jobs in Texas

Software Testing Engineer information

See Texas salary details

$9

$47

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How much do software testing engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for software testing engineer in Texas is $47.93, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $54.66 per hour, depending on experience, location, and employer.

What does a software testing engineer do?

A Software Testing Engineer is responsible for evaluating software applications to ensure they function correctly and meet specified requirements. They design and execute test plans, identify bugs or issues, and work closely with developers to resolve defects. Their role helps maintain software quality, reliability, and performance before the product is released to users. They may use both manual and automated testing methods to cover different aspects of the application.

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

To thrive as a Software Testing Engineer, you need a solid understanding of software development lifecycles, test design techniques, and programming or scripting languages, typically supported by a degree in computer science or related fields. Familiarity with automation tools (such as Selenium or JUnit), bug tracking systems (like Jira), and certifications like ISTQB are highly valued. Attention to detail, analytical thinking, and strong communication skills help you identify issues and collaborate effectively with development teams. These skills and qualities are crucial to ensure software quality, minimize defects, and deliver reliable products to end users.

What are some common collaboration practices between software testing engineers and developers during the software development lifecycle?

Software Testing Engineers frequently collaborate with developers through activities such as sprint planning, daily stand-ups, and code reviews. They often provide feedback on testability during requirements analysis and work closely with developers to understand new features and identify potential issues early. Effective communication ensures that defects are clearly documented, and joint debugging sessions are common to resolve complex bugs efficiently. This close collaboration helps maintain a high-quality product and fosters a culture of continuous improvement within the team.

What is the difference between Software Testing Engineer vs QA Analyst?

AspectSoftware Testing EngineerQA Analyst
CertificationsISTQB, CSTEISTQB, CSTE
Work EnvironmentDevelopment teams, testing labsQuality assurance departments, testing labs
Industry UsageSoftware companies, tech firmsSoftware companies, IT services
Primary FocusDesigning and executing test cases, automationTest planning, process improvement, documentation

While both roles focus on ensuring software quality, Software Testing Engineers often develop and execute test cases, including automation, whereas QA Analysts focus on testing processes, documentation, and quality standards. Both roles are essential in delivering reliable software products.

Are software testing engineers in demand in 2026?

Software testing engineers are expected to remain in demand in 2026 due to ongoing software development and the need for quality assurance. Skills in automation tools, scripting, and understanding of development processes will enhance job prospects in this field.

What are popular job titles related to Software Testing Engineer jobs in Texas?

For Software Testing Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Software Testing Engineer jobs in Texas look for?

The top searched job categories for Software Testing Engineer jobs in Texas are:

What cities in Texas are hiring for Software Testing Engineer jobs?

Cities in Texas with the most Software Testing Engineer job openings:

Software Testing Engineer jobs near you
Infographic showing various Software Testing Engineer job openings in Texas as of August 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 100% In-person job distribution, with an average salary of $99,700 per year, or $47.9 per hour.

Software Developer Engineer Test

Aquent

Austin, TX • On-site

$54 - $60/hr

Temporary

Medical, Dental, Vision, Retirement

Re-posted yesterday

Job description

Placement Type:
Temporary
Salary:
$54-60 Hourly
W2
Start Date:
Aug 28, 2026
Aquent is proud to partner with a leading enterprise in the financial services industry, a company dedicated to innovation and excellence in delivering robust, high-volume solutions that impact millions. This organization is at the forefront of redefining how software is built and tested, leveraging cutting-edge technology and responsible AI to enhance the reliability, performance, and security of critical applications that serve millions globally. This is an exceptional opportunity to join a team that is not just building software, but shaping the future of financial technology, and your contributions will directly influence the stability and innovation of platforms serving millions.
We are seeking a highly skilled and passionate individual to step into a pivotal role where your expertise in quality engineering and your passion for artificial intelligence will converge to drive significant impact. As a key contributor, you will be at the forefront of defining and executing technology-agnostic quality engineering practices across modern application stacks. This is your chance to lead the charge in applying AI-assisted SDLC practices responsibly, ensuring the highest standards of quality and innovation, elevating test automation, boosting release confidence, and enhancing engineering productivity across critical systems.
What You'll Do
  • Partner with product owners, developers, architects, and cross-functional teams to translate business and technical requirements into comprehensive test strategies, test cases, automation coverage, and release validation plans.
  • Design, develop, and maintain scalable automated test frameworks and test suites across various layers, including UI, API, service, integration, data, event-driven, end-to-end, regression, performance, and deployment validation.
  • Drive quality engineering best practices by integrating automated tests into CI/CD pipelines, significantly improving test reliability, reducing manual validation effort, and enabling faster, safer releases.
  • Validate distributed, high-volume, and event-driven systems, ensuring message flows, data integrity, service contracts, resilience, observability, operational readiness, and robust failure recovery scenarios.
  • Leverage AI-assisted engineering tools to enhance test design, accelerate automation development, improve test coverage, streamline documentation, bolster regression support, facilitate defect analysis, and troubleshoot efficiently, all while maintaining ownership for correctness and quality.
  • Apply prompt engineering, reusable instructions, spec-driven workflows, and agentic concepts to accelerate quality engineering activities in a responsible, reviewable, and measurable manner.
  • Create and maintain essential quality artifacts, including test plans, automation strategy, traceability matrices, defect analysis reports, validation evidence, release readiness summaries, and audit-ready documentation.
  • Collaborate with globally distributed teams, influencing quality outcomes across the entire SDLC through automation-first thinking, risk-based testing, engineering rigor, and a commitment to continuous improvement.

Must-Have Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent practical experience.
  • 8+ years of experience in software testing, test automation, software development, or quality engineering for enterprise applications in highly available, high-volume environments.
  • Hands-on experience designing, developing, and maintaining automated test frameworks using one or more modern programming languages and test automation ecosystems.
  • Strong experience with API testing, UI automation, service validation, integration testing, end-to-end testing, regression automation, test data validation, and release validation practices.
  • Experience validating cloud-native, containerized, distributed, or service-based applications deployed on leading enterprise platforms.
  • Experience with SQL or NoSQL databases, including test data creation, data validation, query-based verification, and quality checks across structured or semi-structured data.
  • Strong understanding of object-oriented programming, scripting, algorithms, data structures, debugging practices, service contracts, and automation design principles.
  • Experience with CI/CD pipeline integration, source control, work tracking, and collaboration tools on comparable enterprise platforms.
  • Working experience or exposure to messaging, streaming, or event-driven technologies, including cloud pub/sub services.
  • Experience applying BDD, TDD, ATDD, risk-based testing, shift-left testing, quality gates, and modern quality engineering practices across the SDLC.
  • Demonstrated hands-on experience using Generative AI coding assistants across SDLC workflows, including test generation, automation development, refactoring, unit testing, regression support, code reviews, scripting, troubleshooting, and documentation.
  • Practical familiarity with AI-assisted engineering tools in IDE, CLI, or workflow-based environments.
  • Working knowledge of Generative AI concepts, responsible AI-assisted engineering practices, prompt engineering, reusable prompts, custom instructions, and AI-augmented SDLC workflows.
  • Ability to use AI tools while maintaining strong engineering judgment, code review rigor, validation discipline, data protection awareness, and quality accountability.
  • Experience applying automation and AI-driven approaches to improve testing workflows, delivery processes, operational quality outcomes, and modernization initiatives.
  • Excellent problem-solving, critical thinking, communication, and decision-making skills, with the ability to work independently in a fast-paced, team-oriented environment.
  • Understands financial services domain capabilities and operations, with experience in the financial services industry.
  • Communicates clearly and effectively, with proven ability to guide and collaborate with engineers in a team-oriented environment.
  • Brings a collaborative mindset and bias for action, effectively partnering with developers, architects, product owners, and adjacent teams to drive outcomes.

Nice-to-Have Qualifications
  • Experience as a Software Development Engineer in Test on an Agile Scrum, Kanban, or scaled Agile team.
  • Experience with performance, reliability, resiliency, chaos, observability, or production-readiness testing for high-volume distributed platforms.
  • Experience in the brokerage, banking, wealth management, capital markets, or broader financial services domain.
  • Experience defining automation strategy, framework standards, coding guidelines, quality metrics, and release readiness criteria across multiple teams or platforms.
  • Proficiency in creating automation design documentation, functional and technical validation notes, test process documentation, runbooks, and production or test environment documentation.
  • Exposure to AI/ML implementation concepts, Large Language Models, agentic workflows, Retrieval-Augmented Generation, or AI-assisted quality engineering practices.
  • Experience mentoring engineers or influencing teams on quality engineering, test automation, AI-assisted SDLC adoption, and continuous improvement practices.

About Aquent Talent
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
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