ZipRecruiter

Log In

1

Hourly Regression Jobs in Texas (NOW HIRING)

Aquent

Software Developer Engineer Test

Austin, TX · On-site

$54 - $60/hr

Temporary Salary: $54-60 Hourly W2 Start Date: Aug 28, 2026 Aquent is proud to partner with a ... to-end, regression, performance, and deployment validation. * Drive quality engineering best ...

Codeforce 360

Manhattan Associates

Dallas, TX · On-site

Troubleshoot technical and functional problems, perform system and regression testing on any break/fix or new features released by the software vendors . * Work on system enhancements which result in ...

CVS Health

Quality Engineer

Richardson, TX · On-site

$72K - $144K/yr

Ability to translate QA, UAT and business scenarios into Automated Regression Test Cases. * Time ... hourly rate or base annual full-time salary for all positions in the job grade within which this ...

Body Rock Pilates

Reformer Pilates Instructor

Houston, TX · On-site

$30 - $50/hr

... regression options * Create well-structured, balanced, and dynamic class plans aligned with studio ... Competitive per-class rate or hourly pay (based on experience) * Flexible scheduling (morning ...

Aquent

.NET AI Developer

Austin, TX · On-site

$60.90 - $67.67/hr

Temporary Salary: $60.90-67.67 Hourly W2 Start Date: Aug 28, 2026 Partnering with Aquent, we are ... testing, regression support, code reviews, scripting, automation, troubleshooting, and ...

7-ELEVEN

Machine Learning Engineer II

Irving, TX · On-site

Generalized Linear Models (GLM), Linear Regression, and Logistic Regression. * Decision Trees and ... If an hourly or salary range is included in this ad it represents the range 7-Eleven in good faith ...

7-Eleven

Machine Learning Engineer II

Irving, TX · On-site

Generalized Linear Models (GLM), Linear Regression, and Logistic Regression. * Decision Trees and ... If an hourly or salary range is included in this ad it represents the range 7-Eleven in good faith ...

7-ELEVEN

Machine Learning Engineer II

Irving, TX · On-site

Generalized Linear Models (GLM), Linear Regression, and Logistic Regression. * Decision Trees and ... If an hourly or salary range is included in this ad it represents the range 7-Eleven in good faith ...

Eliassen Group

Mainframe Engineer

Westlake, TX · On-site

$55 - $60/hr

Execute thorough unit, functional, and regression testing. * Identify root causes of problems and ... The pay range provided in this posting reflects a W2 hourly rate; other employment options may be ...

Judge Group, Inc.

Quality Engineer

Plano, TX · On-site

$50 - $55/hr

Plano, TX Salary: $50.00 USD Hourly - $55.00 USD Hourly Description: Our client is currently ... Design and execute functional, regression, integration, end-to-end, and non-functional test plans ...

next page

Showing results 1-20

All JobsHourly Regression JobsHourly Regression Jobs in Texas

Hourly Regression information

What cities in Texas are hiring for Hourly Regression jobs?

Cities in Texas with the most Hourly Regression job openings:

Hourly Regression jobs near you
Infographic showing various Hourly Regression job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 53% Full Time, 39% Part Time, 1% Temporary, 4% Contract, and 2% Nights. Highlights an 97% Physical, and 3% Remote job distribution.

Software Developer Engineer Test

Aquent

Austin, TX • On-site

$54 - $60/hr

Temporary

Medical, Dental, Vision, Retirement

Posted 29 days ago

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.
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, directly influencing the stability and innovation of platforms serving millions. This is your chance to lead the charge in applying AI-assisted SDLC practices responsibly, ensuring the highest standards of quality and innovation, and elevating test automation, boosting release confidence, and enhancing engineering productivity.
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.
#LI-LP1

Apply