Middle C# QA Automation Engineer for Sport Team

What You’ll Be Driving:

• Creating, executing, and maintaining detailed test cases and scripts across functional, regression, and integration testing phases;
• Developing and maintaining automated test scripts or scenarios to improve efficiency and coverage;
• Identifying, documenting, and tracking software defects and ensuring timely resolution and verification;
• Collaborating with developers, product managers, and stakeholders to clarify requirements and ensure overall software quality;
• Updating and refining test plans to maintain comprehensive test coverage;
• Maintaining clear documentation of test cases, results, and testing procedures;
• Ensuring product quality by conducting thorough testing, validation, and issue analysis;
• Conducting performance and load testing to confirm the product meets performance expectations;
• Contributing to continuous improvements in QA processes, tools, and methodologies;
• Troubleshooting and resolving issues during testing while providing guidance to junior QA engineers.

What Makes You a GR8 Fit:

• 3+ years of experience in automation testing combined with strong background in system analysis and design, including work with functional and non-functional requirements;
• Solid knowledge of C# and .NET Core, strong OOP foundations, and confident use of SOLID principles and common design patterns;
• Knowledge of microservice, monolithic, and event-driven architectures, with ability to design resilient systems using patterns like circuit breaker and rate limiter;
• Experience with Git, CI/CD practices, and DevOps tools such as GitLab, Jenkins, Terraform, along with containerization and orchestration using Docker and Kubernetes;
• Proven track record working with large, scalable, multi-threaded applications and performing effective testing of REST APIs;
• Proficiency with SQL and NoSQL databases, understanding of data modeling, normalization, and experience with querying and database operations;
• Practical experience with messaging and queueing technologies such as Kafka, combined with understanding of networking fundamentals, SSL/TLS, authentication, authorization, and security principles;
• Familiarity with cloud computing models (IaaS, PaaS, SaaS) and major providers like AWS, Azure, or GCP, as well as strong understanding of Agile, Scrum, Kanban, and version control processes;
• Background in manual and mobile testing across iOS and Android, including functional, regression, load testing, and usage of test management and defect tracking tools;
• Strong analytical and communication skills, effective cross-team collaboration, and Intermediate English proficiency.