Green Castle Media

QA Engineer

• Design, develop, and maintain automated test scripts (UI, API, integration) using relevant frameworks and tools
• Create, maintain, and execute detailed test plans and test cases (manual + automated) based on business and technical requirements
• Conduct functional, regression, exploratory, smoke, performance, and UAT testing; contribute automation where appropriate
• Validate real-time odds changes, betting workflows, gaming mechanics, payment processing, and other platform functionalities
• Collaborate closely with cross-functional teams (developers, product managers, QA) to identify requirements, clarify acceptance criteria, anticipate risks, and ensure testability
• Identify, log, track, and verify bugs; work with engineering to reproduce, prioritize, and resolve issues
• Integrate automated tests into CI/CD pipelines and work to decrease feedback loops
• Support production deployment testing and post-release validation of features
• Stay up-to-date with automation tools, frameworks, infrastructure; propose improvements to tooling, processes, and test practices
• Mentor other QA team members in automation best practices.

QA Analyst – Automation

Data Engineer

• Design, develop, and maintain scalable batch and real-time data pipelines.
• Build ELT workflows to extract, transform, and load large datasets from multiple internal and external sources.
• Develop and maintain cloud-based data infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift.
• Implement orchestration and scheduling workflows using Apache Airflow or Amazon MWAA.
• Develop data transformations and modelling processes using SQL and dbt.
• Integrate streaming and large-scale processing solutions using technologies such as Apache Kafka and Apache Spark.
• Ensure the reliability, performance, and scalability of production data pipelines and infrastructure.
• Participate in a scheduled on-call rotation to monitor, troubleshoot, and resolve high-priority data pipeline issues, ensuring the reliability of the data platform during weekends and bank holidays.
• Support the integration of data into enterprise data warehouses such as Snowflake or Redshift.

QA Analyst – Automation

Cloud Data Engineer