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Quality Assurance Computer Science Jobs in Colorado

Bachelor's degree in computer science, Engineering, or equivalent experience. * 12+ years of experience in QA automation, software development, or test engineering, with significant hands-on ...

QA Automation Lead

Centennial, CO · On-site

$150K - $180K/yr

Bachelor's degree in computer science, Engineering, or equivalent experience. * 12+ years of experience in QA automation, software development, or test engineering, with significant hands-on ...

Headquartered in Orlando, FL, Kalera is a science and technology-driven company dedicated to ... The Quality Assurance Technician reports to the Quality Assurance Lead. Summary: The Quality ...

Headquartered in Orlando, FL, Kalera is a science and technology-driven company dedicated to ... The Quality Assurance Technician reports to the Quality Assurance Lead. Summary: The Quality ...

QA Engineer

Boulder, CO · On-site

$90K - $108K/yr

SUMMARY Leads and assists in Quality Assurance related projects and day-to-day quality activities ... MATHEMATICAL SKILLS Competence in scientific mathematical skills and statistics, including metric ...

Software Engineer I, QA

Denver, CO · On-site

$65K - $110K/yr

Bachelors degree in computer science or related field/equivalent education * 0-2 years experience in software qa/testing (internships included) * General understanding of software development ...

Overview For this role, we are seeking a qualified Quality Assurance Analyst to join Epsilon ... What you'll bring * BS in Computer Science or related technical discipline or equivalent practical ...

About Us ConexSmart's Engineering Technician is a dynamic team player who uses math and science to ... Communicate with external quality assurance officers during on-site inspections. * Appraise ...

About Us ConexSmart's Engineering Technician is a dynamic team player who uses math and science to ... Communicate with external quality assurance officers during on-site inspections. * Appraise ...

About Us ConexSmart's Engineering Technician is a dynamic team player who uses math and science to ... Communicate with external quality assurance officers during on-site inspections. * Appraise ...

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Quality Assurance Computer Science information

Are QA testers in demand in 2026?

Quality Assurance (QA) testers remain in demand in 2026 due to the ongoing need for software quality and user experience. Skills in automation tools, scripting, and understanding of development processes enhance job prospects in this field.

What are the key skills and qualifications needed to thrive as a Quality Assurance professional in Computer Science, and why are they important?

To thrive as a Quality Assurance (QA) professional in Computer Science, you need a solid understanding of software development, testing methodologies, and problem-solving, often supported by a degree in computer science or a related field. Familiarity with automated testing tools (such as Selenium or JUnit), bug tracking systems (like Jira), and quality management certifications (such as ISTQB) is highly valuable. Attention to detail, analytical thinking, and strong communication skills help QA professionals identify issues and collaborate effectively with development teams. Mastering these skills ensures the delivery of reliable, high-quality software products and smooth project workflows.

Is QA harder than coding?

Quality Assurance (QA) in computer science involves systematically testing software to identify bugs and ensure quality, which requires attention to detail, analytical skills, and understanding of testing tools. Coding focuses on writing and developing software, requiring programming skills and problem-solving abilities. The difficulty depends on individual strengths and the specific tasks involved in each role.

How does a Quality Assurance professional in Computer Science typically collaborate with developers during the software development lifecycle?

Quality Assurance (QA) professionals work closely with developers throughout the software development lifecycle by participating in planning meetings, reviewing requirements, and providing feedback on testability. They design and execute test cases based on specifications, report bugs, and retest fixes, ensuring software reliability and usability. Effective communication and collaboration are key, as QA often bridges the gap between development and product management to ensure a high-quality final product.

What is the difference between Quality Assurance Computer Science vs Software Tester?

AspectQuality Assurance Computer ScienceSoftware Tester
CredentialsBachelor's in Computer Science or related field, certifications like ISTQBSimilar certifications, often with a focus on testing methodologies
Work EnvironmentInvolves designing testing processes, developing automated tests, and ensuring software qualityPrimarily executing test cases, reporting bugs, and verifying fixes
Industry UsageUsed across tech companies, software development firms, and IT departmentsCommon in software companies, QA teams, and product development

While both roles focus on software quality, Quality Assurance Computer Science involves designing testing strategies and automation, whereas a Software Tester primarily executes tests and reports issues. Both roles require similar credentials and are integral to software development teams.

What are Quality Assurance roles in Computer Science?

Quality Assurance (QA) roles in Computer Science focus on ensuring that software and systems meet specified requirements and are free of defects. QA professionals design, implement, and execute tests, identify bugs, and work with development teams to resolve issues. Their goal is to maintain high standards of software quality through systematic testing, process improvement, and adherence to industry best practices. This role is crucial for delivering reliable, functional, and user-friendly software products.

Is QA replaced by AI?

Quality Assurance (QA) roles in computer science involve testing software to identify bugs and ensure quality. AI tools are increasingly used to automate repetitive testing tasks, but human oversight remains essential for complex testing, analysis, and decision-making, so QA jobs are evolving rather than being fully replaced by AI.

What is quality assurance in computer science?

Quality assurance in computer science involves systematic processes to ensure software products meet specified requirements and are free of defects. QA professionals develop testing plans, use tools like automated testing frameworks, and perform reviews to identify issues early in the development cycle, improving software reliability and user satisfaction.
What are popular job titles related to Quality Assurance Computer Science jobs in Colorado? For Quality Assurance Computer Science jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Quality Assurance Computer Science jobs? Cities in Colorado with the most Quality Assurance Computer Science job openings:

$150K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago


Job description

With over 40 years of innovation, Quantum's end-to-end platform is uniquely equipped to orchestrate, protect, and enrich data across its lifecycle, providing enhanced intelligence and actionable insights. Leading organizations in cloud services, entertainment, government, research, education, transportation, and enterprise IT trust Quantum to bring their data to life, because data makes life better, safer, and smarter. Quantum is listed on Nasdaq (QMCO). For more information, visit www.quantum.com.

As the QA Automation Lead, you will drive the strategy, design, and execution of automated testing across our primary storage engineering portfolio. You will lead a high-performing automation team, partner closely with development, product management, DevOps, and solution engineering, and ensure that automation frameworks, test coverage, and regression pipelines consistently meet the needs of modern, distributed storage systems.

This role blends hands-on technical leadership with people leadership. You will define the automation roadmap, architect next-generation test frameworks, and elevate overall product quality and release velocity.

Key Responsibilities

Leadership & Strategy:

  • Own and evolve the QA automation strategy for multiple product lines, aligned with organizational quality and release goals.
  • Lead, mentor, and grow a team of automation engineers; establish best practices, coding standards, and high-quality test development processes.
  • Advocate for automation-first quality culture across engineering teams, ensuring automation is integrated early in design and development.

Automation Framework & Tools:

  • Architect, extend, and maintain robust automation frameworks — primarily Python-based and containerized on Linux environments.
  • Ensure frameworks support unit, integration, system, performance, and stability testing across diverse storage and infrastructure components.
  • Evaluate emerging tools and frameworks; introduce innovative approaches to improve test reliability, coverage, and execution speed.

Collaboration & Cross-Functional Work:

  • Work closely with Software Engineering, Product, DevOps, Platform OS teams, and QE Regression teams to ensure seamless integration of automation into CI/CD pipelines.
  • Partner with internal and external stakeholders to define automation requirements, plan test coverage, and support release readiness.
  • Contribute to usability, architecture, and system design discussions to ensure testability is built into the product.

Execution & Quality Ownership:

  • Oversee automated test planning, development, execution, and triage for functional, performance, compatibility, and regression suites.
  • Lead root cause analysis efforts for automation failures; ensure solid tracking and follow-through with development teams.
  • Maintain a deep understanding of products under test to design optimal automated scenarios and tools.

Qualifications

Required:

  • Bachelor’s degree in computer science, Engineering, or equivalent experience.
  • 12+ years of experience in QA automation, software development, or test engineering, with significant hands-on automation work.
  • Strong scripting/programming background (Python required; familiarity with C, Shell, or similar languages a plus).
  • Proficiency testing complex distributed systems, storage technologies (NAS, iSCSI, Fibre Channel), or infrastructure products.
  • Experience developing automation frameworks, preferably Linux-based and containerized.
  • Experience with CI/CD pipelines, Git/GitLab, virtualization/hypervisors, and cloud/VM environments.
  • Willing and able to come into our Centennial, CO office during core business hours (10am - 4pm local) Tuesday - Thursday.

Preferred:

  • Experience with performance/IO tools (e.g., FIO, ElBencho, SPEC, IO500).
  • Familiarity with Agile/iterative development methodologies.
  • Exposure to backup applications (Veeam, NetBackup, Cohesity), cluster orchestration, or scale-out systems.
  • Hands-on with Jira, Confluence, or equivalent tools.

Soft Skills:

  • Strong leadership, team-building, and mentoring ability.
  • Excellent problem solving and root-cause analysis skills.
  • Clear communicator able to influence stakeholders across engineering functions. 
  • Ability to thrive in fast-paced environments with shifting priorities. 

Quantum provides a diverse portfolio of health plans for medical and prescription, dental, vision, life, disability, and supplemental medical insurance options. We also support our team members’ efforts to develop and maintain a healthy lifestyle through reimbursement and educational programs. Quantum offers a company-matched 401(k) plan to help employees save for retirement in a tax-advantaged way. We also have an Employee Stock Purchase Program for purchasing Quantum stock at a discounted rate.

Anticipated Salary Range: $150,000 to $180,000 for qualified applicants. 

The above pay range represents Quantum's good faith and reasonable estimate of possible compensation at the time of posting. Pay within the range will be based on a variety of factors, including but not limited to, relevant experience, knowledge/education, skills/abilities, internal equity, and budgetary considerations.

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