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Dell Technologies • pune, Maharashtra, India
Role & seniority: SDET / Software Engineer (technical lead level) with QA automation focus; 4–15 years of experience.
Stack/tools: Python or Go (or automation scripting); Linux, Docker/Kubernetes; distributed systems, clustering, high availability; automation frameworks (PyTest, JUnit, TestNG); CI/CD (Jenkins, GitLab CI); AI/ML in testing or observability (e.g., predictive analytics, anomaly detection, AI-assisted diagnostics).
Design and implement automated test frameworks for large-scale, distributed storage systems; develop and maintain test suites validating scale-out, clustering, HA, and resilience.
Architect and apply AI/ML–driven approaches for test selection, anomaly detection, failure analysis, and log analysis; simulate real-world workloads and failure scenarios including chaos experiments.
Integrate validation into CI/CD pipelines, partner with development/DevOps/PMs to improve observability, diagnose complex distributed issues, and drive continuous improvement in test coverage and signal quality.
4–15 years in SDET/QA automation or software engineering with demonstrated technical leadership.
Strong coding in Python, Go, or automation scripting; Linux experience; Docker/Kubernetes; networking fundamentals.
Experience with distributed systems, high-availability testing, and automation frameworks; CI/CD pipelines.
The Software Engineering team delivers next-generation software application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics — all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners. Join us to do the best work of your career and make a profound social impact as a Software Engineer on our Software Engineering Team in Bangalore/Pune What you’ll achieve As a SDET to join our PowerProtect Data Domain product team. In this role, you will design and implement advanced automation frameworks, develop scalable test solutions, and validate complex distributed storage and data protection systems. You will also lead the adoption of AI-driven quality engineering practices, working closely with developers, DevOps, and product managers to ensure our scale-out architecture delivers industry-leading reliability, performance, and customer experience. You will: Design and implement automated test frameworks for large-scale, distributed storage systems. Develop, execute, and maintain test suites to validate scale-out architecture, clustering, high availability, and system resilience. Architect and apply AI/ML-driven approaches for test selection, failure prediction, anomaly detection, and log analysis. Simulate real-world customer workloads and failure scenarios, including AI-assisted fault modeling and chaos experiments. Partner with development teams to embed testability and AI-friendly observability into feature design. Integrate advanced validation into CI/CD pipelines, including intelligent gating and risk-based testing. Analyze and debug complex distributed issues using traditional and AI-assisted diagnostics; file high-quality defects. Drive continuous improvement in test coverage, efficiency, and signal quality through innovation and best practices. Collaborate across geographies and functions (QA, DevOps, Support) to deliver end-to-end, AI-enhanced quality. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements 4- 15 years of experience in SDET, QA automation, or software engineering roles, with demonstrated technical leadership. Strong coding skills in Python, Go, or automation scripting languages. Deep experience with distributed systems, clustering, and high-availability testing. Hands-on expertise with Linux, containers (Docker/Kubernetes), and networking fundamentals. Proficiency in automation frameworks (PyTest, JUnit, TestNG, or similar). Strong experience with CI/CD pipelines (Jenkins, GitLab CI, or similar). Applied experience with AI/ML in testing or observability, such as: Intelligent test selection or prioritization,Anomaly detection on metrics, logs, or test results,Failure clustering and root-cause analysis using ML or LLM-based tools Desirable Requirements Experience testing scale-out storage systems (e.g., EMC, NetApp, Cohesity, Rubrik). Knowledge of cloud platforms (AWS, Azure, GCP). Exposure to chaos engineering, fault injection, and large-scale benchmarking. Experience integrating AI tools or platforms into engineering workflows (e.g., LLMs, predictive analytics, custom ML pipelines). Who we are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 31 March 2026 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here. Dell Technologies helps organizations and individuals build their digital future and transform how they work, live and play. The company provides customers with the industry’s broadest and most innovative technology and services portfolio for the data era.