Preparing for an interview at Hexagon Ab requires a balanced approach. You must demonstrate deep technical knowledge while remaining highly structured in your communication and problem-solving processes.

Role-Related Knowledge – You must show a deep understanding of QA standards, testing methodologies, and automation tools. Be ready to explain not just how you test, but why you choose specific testing strategies for different software architectures.

Problem-Solving & Logical Aptitude – Interviewers at Hexagon Ab place a strong emphasis on your cognitive abilities. Practice solving logical puzzles, basic geometry questions, and quantitative aptitude tests, as these are frequently used to gauge how you think under pressure.

System & Deployment Awareness – Be prepared to talk about how software is built, packaged, and deployed. Understanding the broader DevOps and release pipeline processes is highly valued, as QA engineers often need to collaborate closely with infrastructure and development teams.

The interview process for a QA Engineer at Hexagon Ab is designed to evaluate both your technical proficiency and your cognitive problem-solving capabilities. Candidates typically go through a multi-stage evaluation that tests theoretical QA knowledge, hands-on automation skills, logical reasoning, and cultural alignment. The process is thorough, and the expectations for structured, precise answers are high.

The journey generally begins with an HR screening, followed by technical assessments that may include written tests on quantitative aptitude, geometry, and basic coding. Subsequent rounds consist of technical panel interviews conducted over video platforms like Microsoft Teams or face-to-face. These sessions dive deep into your past projects, API testing strategies, database knowledge, and logical puzzles. The process concludes with a managerial or behavioral interview to assess your communication style, teamwork, and alignment with Hexagon Ab values.

This visual timeline outlines the typical sequence of stages you will navigate during the hiring process. Candidates should use this map to pace their preparation, ensuring they dedicate sufficient time to technical brush-ups, aptitude practice, and behavioral storytelling. While specific stages may vary slightly by team and location, this represents the standard progression.

To help you focus your preparation, we have broken down the primary evaluation areas that you will encounter during your interviews.

QA Methodologies & SDLC

This area tests your foundational knowledge of quality assurance. Interviewers want to see that you do not just follow instructions, but that you understand how to design an efficient, risk-based testing strategy from scratch.

Be ready to go over:

• Test Case Design – Writing clear, reusable, and comprehensive test cases using boundary value analysis and equivalence partitioning.
• Defect Management – Documenting bugs with precise steps to reproduce, severity levels, and expected vs. actual results.
• SDLC Integration – Knowing how QA fits into Agile, Scrum, or Waterfall environments, and how to collaborate with developers early in the cycle.
• Advanced concepts (less common) – Shift-left testing methodologies, risk-based testing frameworks, and managing test data environments.

Example questions or scenarios:

• "How would you prioritize your test cases if you were given a release with a very tight deadline?"
• "Walk me through the lifecycle of a bug from discovery to closure, highlighting potential bottlenecks."

Automation & API Testing

For modern QA roles, Hexagon Ab evaluates your ability to automate repetitive tasks and test backend services. They place a strong emphasis on your understanding of modern web architectures and database structures.

Be ready to go over:

• Object-Oriented Programming (OOP) – Core Java concepts, as Java is frequently used in their automation frameworks.
• API Testing – Validating endpoint responses, HTTP status codes, headers, and payloads using Postman or automated libraries.
• Database Verification – Writing SQL queries, validating data integrity, and understanding how to test stored procedures.
• Advanced concepts (less common) – Integrating test suites into CI/CD pipelines, mocking external dependencies, and performance testing APIs.

Example questions or scenarios:

• "Explain how you would design an automated test suite for a set of REST APIs using Postman."
• "How do you handle dynamic authentication tokens when automating API requests?"

Logical Aptitude & Problem Solving

Unlike many software companies that focus solely on coding, Hexagon Ab frequently incorporates traditional logical and mathematical puzzles into their technical rounds to assess spatial reasoning and analytical thinking.

Be ready to go over:

• Geometric Reasoning – Basic principles of lines, angles, triangles, and circles.
• Quantitative Aptitude – Solving mathematical problems involving ratios, percentages, and algebraic logic.
• Analytical Puzzles – Approaching abstract riddles with a structured, step-by-step methodology.

Example questions or scenarios:

• "If you have a line intersecting two parallel lines, how do you calculate the unknown angles?"
• "How would you solve a spatial puzzle involving placing physical items in a constrained layout?"

As a QA Engineer at Hexagon Ab, your day-to-day activities will revolve around maintaining the highest standards of software quality. You will be embedded within a product team, working closely with developers to understand new features and write comprehensive test suites.

Your primary responsibilities will include:

• Collaborating with product managers and system architects to analyze requirements and define acceptance criteria.
• Designing, writing, and executing detailed manual and automated test cases for desktop, web, or embedded software applications.
• Performing API testing, validating database schemas, and verifying complex backend systems.
• Monitoring build pipelines, identifying deployment issues, and collaborating with DevOps to ensure smooth environment configurations.
• Documenting software defects, tracking their resolution, and performing thorough regression testing.
• Participating in sprint planning, retrospectives, and daily stand-ups to advocate for quality best practices.

Successful candidates must demonstrate a strong technical foundation coupled with excellent analytical skills. While specific requirements can vary based on the team's focus, the core expectations remain consistent.

• Must-have skills – Strong understanding of software QA methodologies, tools, and processes. Hands-on experience with API testing tools like Postman. Solid understanding of database concepts and SQL. Proficiency in at least one programming language, preferably Java.
• Nice-to-have skills – Experience with test automation frameworks (e.g., Selenium, RestAssured). Knowledge of CI/CD concepts and build deployment pipelines. Familiarity with manufacturing, CAD, or geospatial software environments.
• Experience level – Typically requires 2+ years of professional experience in software testing, with a proven track record of testing complex, data-heavy systems.
• Soft skills – Exceptional communication skills, a highly analytical mindset, attention to detail, and the ability to collaborate effectively with cross-functional, global teams.