01Overview
Overview:
At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customers and partners needs and solve their challenges.
Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.
Youll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care aboutlocally and globally.
Come make an impact every day at Zebra.
What We're Looking For:
The Software Design Assurance Team is responsible for ensuring our software products meet quality, reliability, and release-readiness standards throughout the development lifecycle. The design assurance team supports Zebras promise of quality to our customers and is responsible for participating in design reviews, sprint refinement, build/release operations, and post-mortems, and process gap analysis to conduct release readiness assessment. This position works with a minimum level of supervision.
This position is hybrid based in Bengaluru, India.
Essential Duties and Responsibilities
Perform an analysis of SW Design Assurance for cloud-native SaaS Technology products and provide feedback for all the key Quality Metrics and deliverables executed by the functional teams, including:
- 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. .
