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Devop Automation Qa Engineer Jobs (NOW HIRING)

QA Analyst

Dallas, TX · On-site

$80K - $100K/yr

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Collaborate with the QA Lead to enhance and maintain automated GUI tests using our existing custom ... Develop automation scripts to validate key regression flows in the application covering multiple ...

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Collaborate with the QA Lead to enhance and maintain automated GUI tests using our existing custom ... Develop automation scripts to validate key regression flows in the application covering multiple ...

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Provide technical leadership, mentorship, and guidance to a team of automation QA engineers, fostering their technical growth, problem-solving skills, and adherence to best practices. • Cross ...

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As of Sep 13, 2026, the average hourly pay for devop automation qa engineer in the United States is $51.44, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $59.38 per hour, depending on experience, location, and employer.

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Infographic showing various Devop Automation Qa Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $106,997 per year, or $51.4 per hour.

Automation QA Engineer - Genomics / Bioinformatics - San Diego CA - Onsite Day One

Dallas, TX • On-site

Other

Medical, Life

Posted 18 days ago


Key responsibilities

  • Design, develop, and maintain automated test suites for genomics and life sciences applications.

  • Build and execute test plans, test cases, and regression suites to verify application outputs and data validation.

  • Validate software behavior against genomic science concepts and coordinate with lab teams to understand sample and data workflows.


Job description

Title: Automation QA Engineer – Genomics / Bioinformatics

Domain: Bioinformatics

Location: San Diego, CA - Onsite Day One

Duration: 6 Months

Job Description: We are hiring an Automation QA Engineer to test software systems used in genomics and life sciences workflows. This is a quality engineering role, not a bioinformatics pipeline development role: you will design, build, and execute automated and manual test coverage for platforms that process genomic and laboratory data, and you will validate that results align with real wet lab and dry lab processes. Strong Python-based test automation skills are essential; genomics/BioE domain knowledge is what separates a good tester on this platform from a great one.

Key Responsibilities
  • Design, develop, and maintain automated test suites (Python-based) for applications supporting genomics, sequencing, and life sciences data workflows.
  • Build and execute test plans, test cases, and regression suites covering functional, integration, and data‑validation testing — no pipeline‑building responsibility; the focus is verifying pipeline/application outputs, not authoring bioinformatics pipelines.
  • Validate software behavior against genomic science concepts (e.g., sequencing data types, variant calling outputs, sample-to-result traceability) to confirm results are scientifically and technically correct.
  • Coordinate directly with wet lab and dry lab teams to understand sample lifecycle, instrument outputs, and data handoffs, and translate that understanding into test scenarios.
  • Test integrations with LIMS (Laboratory Information Management Systems), ensuring sample tracking, chain‑of‑custody, and result reporting behave correctly end‑to‑end.
  • Identify, document, and track defects; partner with engineering and product teams on root‑cause analysis and resolution.
  • Contribute to test strategy for healthcare/life sciences compliance considerations (e.g., data integrity, audit trail, traceability) in partnership with QA leadership.
  • Continuously improve automation frameworks, CI/CD test integration, and test data management practices.
Required Qualifications

Education: Bachelor's or Master's degree in Computer Science, Bioinformatics, Bioengineering, or a closely related field.

Experience & Technical Skills
  • 3+ years of experience in QA / test automation, with hands‑on Python scripting for test frameworks (e.g., pytest, unittest, Robot Framework).
  • Working knowledge of genomics science fundamentals — sequencing concepts, sample-to‑data lifecycle, common file/data formats used in genomics.
  • Demonstrated experience in Life Sciences or Biotech software environments (not general enterprise QA alone).
  • Direct exposure to wet lab and/or dry lab environments, with the ability to coordinate testing activities against real lab processes and instrument/data outputs.
  • Experience testing or interacting with LIMS platforms.
  • Comfortable working without owning pipeline construction — this role validates genomics data/software outputs; it does not develop bioinformatics pipelines.
Preferred / Bonus Qualifications
  • Prior experience specifically as an Automation QE within a Bioinformatics organization.
  • Familiarity with cloud‑based genomics platforms or data lakes used in life sciences software.
  • Exposure to regulatory/compliance frameworks relevant to healthcare and life sciences software (e.g., HIPAA, CLIA, CAP, 21 CFR Part 11) — awareness level, not ownership.
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