Develop new features, enhancements, and bug fixes for the Cognos Analytics platform, following best coding practices and design principles.
· Create and integrate User Interfaces, APIs, services, and data connectors that allow the system to interact with various data sources and third-party applications.
· Develop and manage database interactions, ensuring optimal performance and data retrieval processes.
· Implement and follow coding standards, code reviews, and quality control processes to ensure high-quality code.
· Participate in daily stand-ups, sprint planning, and retrospectives. Follow and contribute to Agile practices.
· Actively investigate, troubleshoot, and resolve issues or bugs within the application, including those reported by end-users or QA.
· Identify performance bottlenecks and optimize the performance of Cognos Analytics features.
· Develop and execute unit/integrations tests to ensure individual components of the system function correctly. Write integration tests for system-wide functionality.
· Work closely with other teams, such as product management, business analysts, UX/UI designers, DevOps, SRE, and data engineers, to ensure requirements are understood and solutions meet business needs.
· Bachelor’s degree in computer science or related field
· Excellent interpersonal and communication skills with ability to effectively articulate technical challenges and devise solutions
· 1-5 years of experience in automated quality engineering / software development / test automation.
· Proficiency in JavaScript, Java, Spring, SQL, RDBMS
· Proficiency in UI automation with Selenium
· Proficiency with shell/bash scripting and Linux/Unix command-line interface
· Proficiency in scripting on Microsoft Visual Studio Code Editor, etc.
· Experience or willingness to learn testing of cloud-native applications
· Understanding of agile development, test management, continuous integration, continuous development environment (CICD) with tools such as: GitHub, Jira, Jenkins etc.
· Other Tools: SSH clients, container technologies (ie: Docker, Podman).
· Ability to work independently in a large matrix organization.
· Troubleshoot and solve customer issues on production deployments
· Knowledge of Mobile App Testing and Automation frameworks and tools
· Knowledge of Performance Testing and Load Testing tools
· Proficiency in using automated API testing tools.
· Knowledge of programming using Go, C++, C# etc.
· Knowledge of software design patterns, microservices.
· Agile software development methodologies
· Knowledge of CI/CD, Openshift, Kubernetes etc.
· Ability to adapt to and learn new technologies
