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Software Tester Jobs in Georgetown, TX (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 ...

ClifyX

POS Tester

Austin, TX · On-site

ClifyX is seeking a POS Tester to join their team. The role involves strong knowledge of API and service test automation, particularly with experience in POS testing and automation frameworks at ...

Saronic Technologies

Systems Software Engineer

Austin, TX · On-site

$171K - $203K/yr

... software testing and validation to ensure reliability and performance in real-world maritime ... environments • Participate in code reviews and maintain high coding standards, ensuring ...

Pointwest Technologies Corp

QA Tester

Austin, TX · On-site

... designing automated tests by creating scripts that run testing functions ... the software development life cycle and software development methodologies8RequiredAble to ...

Pointwest Technologies Corp

QA Tester

Austin, TX · On-site

... designing automated tests by creating scripts that run testing functions ... the software development life cycle and software development methodologies8RequiredAble to ...

IBM

Software Developer Intern

Austin, TX · On-site

$18.75 - $24.50/hr

Implement automated testing, CI/CD pipelines, and DevOps practices to improve software quality and delivery efficiency. * Stay current with emerging technologies and recommend improvements to ...

IBM

Software Developer Intern

Austin, TX · On-site

$18.75 - $24.50/hr

Implement automated testing, CI/CD pipelines, and DevOps practices to improve software quality and delivery efficiency. * Stay current with emerging technologies and recommend improvements to ...

Visa

Software Engineer

Austin, TX · On-site

$108K/yr

Write optimized, secure and scalable code that also follows best practices such as unit testing and ... Troubleshoot and debug software applications, identifying root causes and implementing effective ...

TerraFirma

Robotics Engineer - Embedded Software

Austin, TX · On-site

$130K - $171K/yr

Own the integration, calibration, and testing of sensors both for proof-of-concept prototypes and ... software and firmware development for embedded systems and microcontrollers * Demonstrated ...

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Software Tester information

See Georgetown, TX salary details

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How much do software tester jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for software tester in Georgetown, TX is $40.42, according to ZipRecruiter salary data. Most workers in this role earn between $31.06 and $48.70 per hour, depending on experience, location, and employer.

What is a software tester?

A software tester conducts the QA (quality assurance) testing phase of the project lifecycle. Responsibilities include examining software or websites as a user would—as it will be used post-release. During these test cases, the software tester records any issues (“bugs”) and reports them to the development team so they can be fixed. A software tester explores the software with a critical mindset, assesses the functionality and overall experience, and reports their findings.

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

To thrive as a Software Tester, you need a solid understanding of software development life cycles, attention to detail, and knowledge of testing methodologies, often supported by a degree in computer science or related certifications. Familiarity with testing tools such as Selenium, JIRA, and experience with automated and manual testing systems is typically required. Strong analytical thinking, effective communication, and problem-solving skills help testers identify, document, and resolve issues efficiently. These skills ensure software quality, minimize defects, and contribute to successful product releases.

What are some common challenges software testers face when collaborating with developers, and how can these be effectively addressed?

Software testers often encounter challenges such as communication gaps with developers, differences in understanding requirements, and tight deadlines for bug fixes. These issues can lead to misunderstandings about defect severity or unclear expectations regarding test coverage. Effective strategies include maintaining open, respectful communication, participating in agile ceremonies like daily stand-ups, and using collaborative tools to track issues and share feedback. Building strong professional relationships and fostering a culture of mutual respect greatly enhances teamwork and leads to higher-quality software.

What is the difference between Software Tester vs QA Analyst?

AspectSoftware TesterQA Analyst
CertificationsISTQB, CSTEISTQB, CSTE
Work EnvironmentTesting teams, development projectsQuality assurance teams, project management
Industry UsageSoftware companies, IT firmsSoftware companies, IT firms
Primary FocusExecuting test cases, finding bugsDesigning test plans, process improvement

While both Software Testers and QA Analysts work to ensure software quality, Software Testers primarily focus on executing test cases and identifying bugs. QA Analysts take a broader role in designing testing strategies and improving quality processes. Both roles require similar certifications and are integral to software development teams, but their responsibilities differ in scope and focus.

How much do software testers get paid?

Software testers' salaries vary based on experience, location, and industry, but the average annual pay ranges from $50,000 to $80,000. Entry-level testers typically earn less, while those with specialized skills or certifications can earn higher salaries, especially in competitive markets or with experience in automation tools.

Is a software tester a difficult job?

A software tester's job involves identifying bugs and verifying software functionality, which can be challenging depending on project complexity and deadlines. It requires attention to detail, knowledge of testing tools, and often involves repetitive tasks, but it can be manageable with experience and proper training.

Is software testing still in demand?

Software testing remains in demand as companies prioritize quality assurance and software reliability. Testers with skills in automation tools like Selenium and scripting are especially sought after, and the role is expected to grow with ongoing technological advancements.
More about Software Tester jobs

What are the most commonly searched types of Software Tester jobs in Georgetown, TX?

The most popular types of Software Tester jobs in Georgetown, TX are:

What are popular job titles related to Software Tester jobs in Georgetown, TX?

For Software Tester jobs in Georgetown, TX, the most frequently searched job titles are:

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The top searched job categories for Software Tester jobs in Georgetown, TX are:

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Cities near Georgetown, TX with the most Software Tester job openings:

Software Tester jobs near you
Infographic showing various Software Tester job openings in Georgetown, TX as of August 2026, with employment types broken down into 2% Internship, 70% Full Time, and 28% Contract. Highlights an 86% In-person, 8% Hybrid, and 6% Remote job distribution, with an average salary of $84,077 per year, or $40.4 per hour.

Software Developer Engineer Test

Aquent

Austin, TX • On-site

$54 - $60/hr

Temporary

Medical, Dental, Vision, Retirement

Re-posted 4 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. 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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