Responsible for SW Quality assessment of SWS & cloud solutions. Identify deviations from stated product goals, standards, and processes.
Perform Software Quality Reviews, measure and monitor progress of programs under development.
Lead and conduct Product Release readiness reviews ensuring release criteria for software & device solutions are met and communicate all quality issues, risks, requirements gap prior to product approval.
Recommend latest technologies and new approaches to design and implementation of new technology
Should have strong knowledge of cause-and-effect relation between SW defects and potential customer impact use cases.
Instrument the product CI/CD pipeline and surface build-stage quality signal — code coverage trends, flaky-test detection, build stability, deployment frequency, and rollback rate — as a living engineering dashboard rather than a downstream report.
Experience with Software-as-a-Service development processes, release automation, observability tooling, and quality metrics for distributed cloud systems.
Knowledge of the SDLC, testing concepts, methodologies, metrics, automated SW testing frameworks
Experience in delivery and manage multi release projects in AGILE (Scrum, Scaled Agile) and knowledge of SW tools like JIRA, Confluence and Power BI
Guidance of the process, test methodologies, test strategy used in production of Zebra's NSI SW products and solutions including Software Stability, Stress, and performance strategies
Experience communicating cross-functionally and across management levels in formal and informal settings
Actively participate in SW Product and applications Risk Assessment and mitigation activities
Job Requirements
Bachelor's degree in an Engineering field (Software Engineering, Computer Science, or related).
Minimum of 10 years' experience in Software Engineering, with at least 5 years in site reliability, release engineering, or senior quality engineering roles on SaaS / cloud-native systems.
Hands-on experience with CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps), observability stacks (e.g., Datadog, New Relic, Splunk, Prometheus/Grafana), and release-automation tooling — able to instrument systems directly, not only interpret dashboards.
Demonstrated experience with modern test architecture across unit, integration, contract, and end-to-end layers; flaky-test triage; regression-suite design; and test-pyramid discipline applied to refactor-heavy codebases.
Software QA automation experience with technologies such as Java, Python, JavaScript / TypeScript, or comparable.
Knowledge of productivity and analytics tools such as issue trackers, knowledge-base / documentation systems, BI / dashboarding tools, and CRM platforms.
Effective verbal and written communication skills, including the ability to deliver an independent quality recommendation to an engineering team in which the engineer is embedded — without compromising the working relationship.
Preferred Qualifications
Production-incident and release-health fluency — comfortable leading post-mortems, building escape-defect feedback loops, and translating field signal into engineering priorities; credibility built from on-call experience.
Experience with multi-tenant enterprise SaaS domains and complex customer-facing platforms.
Experience working as an embedded quality / SRE partner inside a product engineering team, with demonstrated ability to maintain independent judgment while operating inside the team's day-to-day rituals.
Experience communicating cross-functionally and across management levels — including engineering leadership, customer success, and quality leadership — in formal and informal settings.
Ability to actively engage business and technology partners; present, defend, and challenge technical recommendations.
Ability to deal with ambiguity effectively and exercise sound judgment when evidence is incomplete.
Advocate for the customer and drive the highest standard of quality at every stage of the product lifecycle.
Instill best practices for software development, testing, and observability documentation.
Demonstrated ability to deliver high-quality work on tight schedules.
Strong analytical skills and a methodical, objective approach to problem-solving.
Benefits
We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.
Job Posting Statement
To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.
AI Technology Statement
Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.
