Sr Quality Test Engineer II

Job Summary

Senior Quality Test Engineer-II

Do you enjoy improving quality and driving automation strategies in complex technology environments

Would you like to collaborate with cross-functional teams to deliver high-quality software products and data solutions

About the Team

This is a position in the Research Data Platform team responsible for performing functional testing and developing and executing performance and automation testing solutions for a platform built to support large-scale data transformation, processing, and analytics workflows. The team focuses on ensuring quality, scalability, and reliability across data-driven applications and distributed systems.

About the Role

This position works with the development team to develop functional testing, apply automation strategy and to plan and execute effective and efficient performance and automation testing to accomplish on-time and efficient delivery of high-quality software products and/or data.

Responsibilities

• Innovating process improvements that enable efficient delivery and maintenance with consistent direction.
• Researching available tools and lead or participate in initiatives to identify and implement those that will cost-effectively enhance testing capabilities and product quality
• Developing and execute automated and performance testing for assigned projects to enable delivery of high-quality software products and services successfully and consistently on time, on budget, and to specification
• Interacting with Product Management, Project Management, Engineering, and Operations teams to plan testing for delivery of products and enhancements and to assure products meet product requirements and quality standards.
• Reporting issues and results, researching and identifying root causes as appropriate, documenting accordingly
• Ensuring that testing addresses requirements as agreed with other stakeholders.
• Conducting project reviews, ensuring review criteria are defined, and implementing procedures for ensuring quality control of project deliverables
• Leading or participate in continuous improvement initiatives and implementation of best practices

Requirements

• Demonstrated ownership for overall product quality, driving quality practices across development and testing activities.
• Strong understanding of QA methodologies, software development lifecycle, and process improvement practices.
• Strong programming experience in Java with ability to design and maintain automation solutions.
• Solid, hands-on automation testing experience - building, maintaining, and scaling automated test suites across functional, integration, and regression testing
• Strong learning agility - comfortable picking up new tools and technologies on the job (e.g., Kafka, Databricks, Spark) with minimal ramp-up time if not already familiar
• Ability to define effective test strategies and design comprehensive test scenarios covering functional, integration, and edge-case conditions
• Experience testing micro services and distributed system architectures.
• Strong SQL knowledge.
• Working knowledge of AWS services or another cloud platform.
• Understanding of CI/CD integration (Github Actions or similar)
• Experience participating in PR reviews for test automation code quality, maintainability, and adherence to engineering standards
• Strong analytical, research, and root cause analysis skills, with a focus on continuous improvement
• Strong collaboration skills with cross-functional teams including Engineering, Product, and Operations
• Experience supporting end-to-end (E2E) and integration testing across multiple systems and domains

Nice to Have

• Experience testing event-driven systems using Kafka or similar messaging platforms
• Exposure to data engineering or data quality testing, and working with formats like Parquet, XML, JSON, or large-scale datasets
• Familiarity with schema validation approaches (e.g., SHACL or similar)
• Understanding of Spark jobs or distributed data processing environments such as EMR
• Hands-on experience with Databricks specifically (beyond SQL querying - e.g., notebooks, job orchestration)
• Experience monitoring applications and analyzing logs using tools such as New Relic or similar observability platforms
• Experience with Docker or other containerization technologies

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.