Software Quality Assurance Intern

About the Role

We are looking for curious, analytical, and self-driven individuals who enjoy solving problems, asking meaningful questions, and understanding software from both technical and business perspectives. At Spiralogics, we value curiosity over rote learning and encourage interns to ask "Why?", "How?", and "What if?", challenge assumptions, understand business requirements, and think beyond predefined test cases to deliver high-quality software.

Key Responsibilities

• Collaborate with cross-functional teams, including QA Engineers, Developers, Business Analysts, and Product Owners, in an Agile environment.
• Participate in requirement discussions, sprint activities, and QA team collaboration.
• Undertake individual assignments and real-world project tasks to apply acquired knowledge.

Requirements & Tech Stack

• Familiar with software testing, SDLC, and STLC.
• Basic programming knowledge in C#, Java, Python, JavaScript, C++, or similar.
• Basic understanding of Artificial Intelligence (AI), Large Language Models (LLMs), or Generative AI concepts.
• Knowledge of SQL, REST APIs, Git, or test automation concepts is preferred.
• Exposure to Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), or innovative college projects will have an added advantage.
• Academic projects involving Artificial Intelligence (AI), Large Language Models (LLMs), Machine Learning, or Generative AI will be an advantage.
• Participation in AI-related hackathons, research projects, internships, or open-source contributions is preferred.
• Practical exposure to industry-standard testing tools, bug tracking systems, API testing, databases, and AI-assisted testing tools.

Qualifications

• Bachelor's degree (completed or final semester) in Computer Science, Information Technology, Software Engineering, or a related field.
• Strong analytical and problem-solving skills with the ability to think beyond standard scenarios.
• Ability to identify edge cases and think creatively to improve software quality.
• Demonstrate strong analytical and critical thinking skills with the ability to solve problems from multiple perspectives.
• Think beyond expected scenarios and proactively identify edge cases, risks, and opportunities for improvement.
• Have a natural curiosity to understand the "why," "how," and "what if" behind business requirements rather than simply following instructions.
• Ask thoughtful questions to clarify requirements, challenge assumptions, and contribute to better software quality.
• Have a genuine interest in Artificial Intelligence (AI), Large Language Models (LLMs), and emerging technologies, and be eager to leverage them to improve software quality and testing efficiency.
• Good verbal and written communication skills.
• Strong attention to detail and willingness to learn.
• Communicate ideas, observations, and recommendations clearly and professionally.
• Be willing to learn and understand software from both technical and business perspectives.
• Willingness to learn and be coached.

Internship Program Details

• Dedicated mentorship from an experienced QA Engineer throughout the internship.
• Comprehensive onboarding to familiarize interns with the company's culture, values, and development workflow.
• A structured learning roadmap with defined weekly learning objectives and milestones.
• Hands-on training in Software Testing fundamentals, SDLC, STLC, Agile methodologies, and QA best practices.
• Opportunities to participate in requirement discussions, sprint activities, and QA team collaboration.
• Regular one-on-one mentoring sessions, technical discussions, and Q&A sessions to accelerate learning.
• Regular feedback through one-on-one mentoring sessions and weekly performance reviews.
• Exposure to enterprise software development and real client projects.
• A final performance evaluation based on technical skills, analytical ability, learning attitude, communication, teamwork, and overall contribution.
• Opportunity for full-time employment at Spiralogics based on performance, business requirements, and available positions.