Intern QA Engineer

About the company Tabby builds financial products used by millions of users across the GCC. We work on high-load, security-critical systems with strict regulatory requirements. This internship is not educational by default. It is an engineering role with real responsibility. Context QA engineers at Tabby are responsible for product quality across multiple systems and platforms. This includes testing user-facing applications, backend services, APIs, integrations, and internal tools. QA at Tabby is engineering-driven and focused on reliability, automation, and system-level quality. The internship is designed for strong early-career engineers who want to grow as quality engineers, not manual testers only. Interns are embedded into real teams, work with production systems, and are expected to think system-wide about quality. This is not a helper or manual-only role. Interns work on real production tasks under senior review. - Participate in end-to-end testing of product features and system integrations - Perform manual testing where it makes sense and automate everything that should be automated - Contribute to automated test suites (API, integration, end-to-end) - Help maintain and extend existing test frameworks and test data - Validate interactions between services, clients, and external systems - Participate in release testing and regression cycles - Analyze bugs, verify fixes, and contribute to root-cause analysis - Work closely with engineers and product managers to improve testability Required - Knowledge of at least one programming language (Go preferred) - Familiarity with fundamental data structures and algorithms - Understanding of deterministic vs. state-dependent behavior in programs - Basic knowledge of SQL - Understanding of unit testing concepts and principles - Basic understanding of client–server architecture and familiarity with gRPC or RESTful API-based systems - Ability to read, understand, and analyze existing code - Comfortable with cross-team collaboration and networking - Comfortable working in POSIX/Unix-like environments Strong plus - Hands-on experience writing unit tests (any language or framework) - Familiarity with testing frameworks (e.g., Go testing package, JUnit, pytest) - Understanding of mocking and stubbing techniques - Knowledge of version control systems (Git or similar) - Understanding of SDLC and CI/CD pipelines (GitLab preferred) - Familiarity with Docker, Kubernetes, or any containerization technology Eligibility - Saudi nationals only - We welcome both current students and fresh grads - We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level. - Paid internship - Full integration into an engineering team - Distributed engineering team across multiple countries - Clear path to a junior QA engineer role based on performance This internship is intentionally demanding and designed for candidates aiming for fast professional growth in quality engineering.

Knowledge of at least one programming language (Go preferred). Familiarity with fundamental data structures and algorithms. Understanding of deterministic vs. state-dependent behavior in programs. Basic knowledge of SQL. Understanding of unit testing concepts and principles. Basic understanding of client–server architecture and familiarity with gRPC or RESTful API-based systems. Ability to read, understand, and analyze existing code. Comfortable with cross-team collaboration and networking. Comfortable working in POSIX/Unix-like environments. Strong plus: Hands-on experience writing unit tests (any language or framework). Familiarity with testing frameworks (e.g., Go testing package, JUnit, pytest). Understanding of mocking and stubbing techniques. Knowledge of version control systems (Git or similar). Understanding of SDLC and CI/CD pipelines (GitLab preferred). Familiarity with Docker, Kubernetes, or any containerization technology.