Sr. Software Developer in Test (QA)

Key Features:

• Data Ingestion and Correlation: Essential report data is ingested and correlated into a data lake.
• Template Creation: Users can create pre-defined templates as well as custom templates for their reporting needs.
• Multiple Report Formats: Supports various report formats, including CSV, JSON, images, and PDF.
• High Availability and Auto-Scaling: The service supports high availability and automatically scales according to workload demands.

Responsibilities:

• Formulate testing strategies and execute detailed test cases.
• Lead the automation of test cases for Web UI and backend APIs.
• Direct the process of defect identification, tracking, and issue management.
• Manage system monitoring, performance, log, and metrics analysis.
• Collaborate closely with product managers, UX engineers, software architects and developers to devise effective testing strategies.
• Address customer issues promptly to support critical business operations.
• Develop and maintain the automation of CI/CD processes for services and solutions.
• Work with product development and support teams across multiple countries to ensure global coordination.
• Conduct compliance testing, such as vulnerability testing for PCI compliance requirements.
• Play a key role in the software product development cycle, participating in development activities as needed.

Qualifications:

• Advanced Python programming skills for developing automated test scripts independently.
• Experience in testing Docker, Kubernetes, microservices, and serverless applications.
• Proficiency in RDBMS, NoSQL, Data Lakes, and other cloud technologies in environments such as AWS, Microsoft Azure, and Google Cloud Platform (GCP).
• Familiarity with CI/CD processes, tools, and services, including Jenkins and Docker.
• Understanding of Continuous Integration (CI) and Continuous Deployment (CD) in DevOps contexts.
• Excellent communication skills for effective collaboration with global teams.
• Self-motivated with an agile mentality to adapt to changing requirements.
• Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent industry experience.