Software Testing Intern

Role overview

Responsibilities

• Understand product architecture, workflows, customer use cases, requirements, dependencies, and quality risks across the project lifecycle.
• Test applications for functionality, reliability, performance, usability, and integration behavior.
• Design, execute, and maintain manual and automated test cases; document results with evidence and traceability.
• Identify, reproduce, report, and track defects; support root-cause analysis and verify fixes with developers.
• Participate in functional, regression, integration, system, and exploratory testing.
• Contribute to test strategy, test plans, test data, test environments, and quality documentation.
• Explore automation tools and frameworks for UI, API, integration, and end-to-end testing.
• Integrate automated tests with Jenkins CI/CD pipelines and analyze results, logs, and failures.
• Prototype AI-assisted testing for test generation, execution, defect analysis, failure triage, and test maintenance.
• Contribute to agentic AI testing solutions with appropriate human review; measure automation effectiveness and recommend improvements.
• Apply testing methodologies, secure development practices, and quality engineering principles.

Required qualifications

• Currently pursuing or recently completed a bachelor's or master's degree in computer science, information technology, software engineering, artificial intelligence, data science, or a related field.
• Basic understanding of software development, debugging, software testing, SDLC, and STLC concepts.
• Working knowledge of at least one programming or scripting language, such as Python, Java, JavaScript, or TypeScript.
• Foundational understanding of test automation, APIs, databases, SQL, source control, and defect-tracking tools.
• Essential exposure to and conceptual understanding of LLMs, Generative AI, and Agentic AI, including practical use in software engineering or testing.
• Ability to understand systems end to end, learn unfamiliar technologies, analyze problems logically, and communicate findings clearly.
• Strong attention to detail, ownership, curiosity, collaboration skills, and willingness to experiment and learn.

Nice-to-have skills

• Familiarity with Jenkins or another CI/CD platform, including pipelines, build logs, test reports, and automated quality checks.
• Experience using Git-based workflows and environments such as GitHub, GitLab, or Azure DevOps.
• Exposure to prompt engineering, RAG, tool/function calling, AI-agent frameworks, or model evaluation techniques.
• Understanding of responsible AI practices, including data privacy, security, hallucination risk, output validation, and human-in-the-loop controls.

Workplace

• The posting includes an onsite designation.

About Shure