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Software Testing Engineer Jobs in Houston, TX (NOW HIRING)

Cimarron

Software Engineer (Mid-Level)

Houston, TX · On-site

$120K - $175K/yr

Posting/External Job Title Software Engineer (Mid-Level) Location Houston, TX 77058 US (Primary ... Proficiency in software testing methodologies. * Demonstrated ability to solve complex problems ...

Group Nine LLC

Testing Delivery Manager

Houston, TX · On-site

... software testing, including emerging trends, industry advancements, and potential areas of ... engineering solutions. • QA Tollgates design, implementation and rigorous application through ...

ATSER

Software Engineer

Houston, TX · On-site

... and testing, pavement design, engineering inspection and testing. ATSER offers these services ... Software Engineering firm is seeking experienced Senior Software Engineer to design, develop and ...

ATSER

Software Engineer

Houston, TX · On-site

... and testing, pavement design, engineering inspection and testing. ATSER offers these services ... Software Engineering firm is seeking experienced Senior Software Engineer to design, develop and ...

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Software Testing Engineer information

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$10

$49

$69

How much do software testing engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for software testing engineer in Houston, TX is $49.13, according to ZipRecruiter salary data. Most workers in this role earn between $40.19 and $56.01 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 Houston, TX?

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

What job categories do people searching Software Testing Engineer jobs in Houston, TX look for?

The top searched job categories for Software Testing Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Software Testing Engineer jobs?

Cities near Houston, TX with the most Software Testing Engineer job openings:

Software Testing Engineer jobs near you
Infographic showing various Software Testing Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution, with an average salary of $102,147 per year, or $49.1 per hour.

Lead Software Engineer - Python, Observability

Houston, TX • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

Other

Re-posted 20 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Risk Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
  • Build and maintain Python services, scripts, and pipelines for data/AI use cases.
  • Write efficient SQL for analysis, data validation, debugging, and performance tuning.
  • Rapidly triage incidents: reproduce issues, isolate root cause, and implement fixes.
  • Develop and iterate on AI applications (e.g., LLM-powered workflows, retrieval, evaluation).
  • Design and implement agentic systems (tool-using agents, orchestration, guardrails, memory patterns where appropriate).
  • Create monitoring/observability: logging, metrics, traces, and alerting for AI and data services.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Document system behavior, known failure modes, and support procedures
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • minimum of 8 years industry experience.
  • Strong Python engineering skills (data handling, APIs, concurrency basics, packaging).
  • Advanced understanding of agile methodologies such as s CI/CD, Application Resiliency, and Security
  • Must have working knowledge in in various observability tools such as OTEL, Grafana, Splunk and Dynatrace
  • Strong SQL skills (joins, window functions, query optimization, troubleshooting bad data).
  • Proven ability to debug quickly and work through ambiguous production issues.
  • Experience delivering production-grade software (testing, code reviews, version control).
  • Strong communication skills—can explain root cause and fixes clearly.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred qualifications, capabilities, and skills
  • Experience building AI solutions using LLMs (prompting, RAG, evaluation, safety/quality checks).
  • Experience with agent frameworks/orchestration patterns (tool calling, planning/execution loops).
  • Familiarity with data platforms/warehouses and pipelines (e.g., Airflow or similar schedulers).
  • Observability tooling experience (structured logging, metrics, tracing).
  • Performance tuning experience for Python services and SQL workloads.
  • Cloud/container experience (Docker, Kubernetes, or managed equivalents)
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