Software Engineer 2

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 2 on our Software Engineering Team in Bangalore.

What you’ll achieve

As a Software Engineer (SDET), you will contribute to test automation and quality validation for our scale-out storage and data protection platform. In this role, you will also begin leveraging AI-assisted testing and automation techniques to improve test efficiency, coverage, and defect detection. This is an excellent opportunity for engineers interested in combining software engineering, quality, and applied AI while building strong fundamentals in distributed systems and CI/CD pipelines.

You will:

• Develop and maintain functional and regression automation scripts.

• Execute tests for clustering and high-availability workflows.

• Leverage AI tools for test generation, failure analysis, and insights.

• Analyze failures, collect logs, and file high-quality defects.

• Collaborate with developers in agile teams to validate features.

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

• Bachelor’s degree in Computer Science, Engineering, or equivalent.1–3 years of experience in QA automation, SDET, or entry-level software engineering roles.

• Working knowledge of at least one programming language (Python, Java, or Go).Basic understanding of Linux systems and command-line tools.Familiarity with automation/testing frameworks (e.g., PyTest, JUnit, TestNG).

• Foundational understanding of AI/ML concepts (e.g., supervised learning, anomaly detection, pattern recognition).

• Experience using or experimenting with AI-assisted development or testing tools (e.g., LLM-based code assistants, test generation, log analysis) is a plus.

• Exposure to CI/CD pipelines, Git, containers (Docker), and networking basics.

Desirable Requirements

•Experience with vRealize Orchestrator, vRealize Automation, Enterprise Storage, Atlassian products (JIRA, Confluence)