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Software Quality Analyst Jobs in Kansas (NOW HIRING)

Collaborate with a software development team to deliver high-quality, reliable systems that operate ... Write comprehensive unit and integration tests supported by static analysis and thoughtful test ...

Client Support Desk Analyst

Topeka, KS ยท On-site

$60K - $75K/yr

Support software QA testing and validation * Perform other duties as required Required ... Analytical and process oriented * Detailed and thorough * Excellent oral and written communication ...

... software releases meet business and technical specifications, are free of defects, and are ready for production deployment. This role requires strong analytical skills, a deep understanding of QA ...

Quality Control Technician

Manhattan, KS ยท On-site

$17 - $19/hr

Ability to work with Microsoft Suite of Business Software (Excel, Word, Teams, etc.) * Ability to ... Detail oriented with a demonstrable ability to fill out Quality Analysis paperwork * Ability to ...

... software, quality management systems, and data/AI-enabled predictive maintenance initiatives. This position combines strong business analysis, hands-on application support, requirements definition ...

Reporting directly to the Senior Director, Services Partner Quality Assurance, you'll be ... Comfort working with AIassisted analytics and data platforms to interpret project and partner ...

Conduct thorough root cause analysis, debug complex system-level deployment issues, and resolve ... Passion for clean coding, attention to detail, and a focus on software quality and maintainability.

Showing results 41-60

Software Quality Analyst information

See Kansas salary details

$13

$40

$57

How much do software quality analyst jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for software quality analyst in Kansas is $40.02, according to ZipRecruiter salary data. Most workers in this role earn between $32.60 and $48.65 per hour, depending on experience, location, and employer.

What does a software quality analyst do?

A Software Quality Analyst is responsible for ensuring that software products meet established quality standards before they are released to customers. They design and execute test plans, identify bugs or issues, and work closely with developers to resolve them. Their goal is to improve software reliability, usability, and performance by using a variety of testing methods, including manual and automated testing. Additionally, Software Quality Analysts document test results and help create processes to prevent future defects.

What are some common challenges faced by software quality analysts when working with cross-functional teams?

Software Quality Analysts often collaborate with developers, product managers, and other stakeholders, which can present challenges such as aligning on testing priorities, managing differing expectations, and ensuring clear communication of requirements and defects. It's important to establish effective communication channels and regularly participate in team meetings to stay updated on project changes. Proactively clarifying ambiguities and maintaining thorough documentation can help mitigate misunderstandings and contribute to a smoother workflow.

What is the difference between Software Quality Analyst vs Software Tester?

AspectSoftware Quality AnalystSoftware Tester
Primary FocusEnsures overall quality, process improvement, and defect preventionIdentifies bugs and verifies fixes through testing
ResponsibilitiesDevelops quality standards, analyzes processes, and collaborates with teamsExecutes test cases, reports defects, and validates fixes
Required SkillsKnowledge of QA methodologies, process analysis, and testing toolsStrong testing skills, attention to detail, and familiarity with testing tools
Work EnvironmentCollaborative, process-oriented, often involved in planningExecution-focused, primarily in testing phases

While both roles focus on software quality, the Software Quality Analyst takes a broader approach, emphasizing process improvement and quality standards, whereas the Software Tester concentrates on executing tests and identifying defects. Both roles are essential in delivering high-quality software products.

What are the key skills and qualifications needed to thrive as a software quality analyst?

To thrive as a Software Quality Analyst, you need a solid understanding of software testing methodologies, attention to detail, and typically a degree in computer science or a related field. Familiarity with testing tools like Selenium, JIRA, and test management systems, as well as relevant certifications such as ISTQB, is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with development teams and clearly report issues. These competencies ensure high-quality software releases, reduce defects, and enhance user satisfaction.
What are popular job titles related to Software Quality Analyst jobs in Kansas? For Software Quality Analyst jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Software Quality Analyst jobs in Kansas look for? The top searched job categories for Software Quality Analyst jobs in Kansas are:
What cities in Kansas are hiring for Software Quality Analyst jobs? Cities in Kansas with the most Software Quality Analyst job openings:
Infographic showing various Software Quality Analyst job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $83,243 per year, or $40 per hour.

Software Engineer

Relativity

Wichita, KS โ€ข On-site

Other

Medical, Retirement

Re-posted 19 days ago


Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting