Senior QA Automation Engineer - Cloud & Data Platforms (AWS)Infojini • St Louis, Missouri, United States
Senior QA Automation Engineer - Cloud & Data Platforms (AWS)
Infojini
- St Louis, Missouri, United States
- St Louis, Missouri, United States
Über
Senior Quality Assurance Test Automation Engineer Location: Saint Louis, MO Experience Required:
12+ Years Notes: Location: Local candidates strongly preferred - onsite 4 days per week. If non-local, they will be required to come in for our PI planning cycles. Usually, every 2 months for 3 days. Client: Federal Reserve Bank - St. Louis, MO ABOUT THE ROLE We are seeking an experienced Senior Quality Assurance Test Automation Engineer to design, develop, and implement automated testing solutions for a cutting-edge, cloud-based big data analytics platform. You will report to a leader and be a part of an agile product team responsible for developing complex cloud-native data processing capabilities as part of an AWS-based data analytics platform. You will also work with engineers, data scientists, and end users, write complex database queries, perform end-to-end testing, and analyze data. Responsibilities Design, develop, and maintain test automation frameworks and test scripts for cloud-based applications using industry-standard experience, and troubleshoot complex data, using capabilities such as Python, R, Lambda, Glue, Redshift, EMR, QuickSight, SageMaker, and related AWS data processing visualization services. Create comprehensive test plans and strategies to validate cloud infrastructure, services, complex data, and applications across multiple environments. Monitor and analyze test results to identify patterns and areas for improvement in both product and testing methodology. Create reusable test data, test artifacts, and participate in scrum ceremonies for planning and estimation. Execute requirement validation, integration, regression, API, performance, and usability testing. Perform load, performance, and scalability testing of cloud applications for baseline and to identify enhancements based on results. Collaborate with team members to troubleshoot issues, validate fixes, and ensure quality throughout the development lifecycle. Provide technical thought leadership and collaborate with quality assurance team members, developers, data engineers, architects, operations, and data scientists on multiple projects to ensure the quality of applications and services. Perform other team contributions, such as peer test script reviews, defect remediation, and status tracking to ensure features meet requirements. Leverage skills to identify and enhance testing processes. Mentor quality assurance peers for continuous improvement of testing processes and cloud native test capabilities. Qualifications Bachelor's degree with a major or specialized courses in Information Technology or commensurate experience. 5+ years proven experience with a combination of the following: Write/analyze complex data queries and automation scripts for testing Relational SQL databases, especially Redshift Experience with Java, Selenium, Python, JupyterLab, and respective tools and technology, such as Jira and Xray AWS cloud services:
EC2, S3, RDS, Redshift, Glue, Lambda, Step Functions, SageMaker, QuickSight, Config, Security Hub, Inspector Proficient with performance and API testing tools like Postman and Gatling Knowledge of IaC tools Knowledge of security testing methodologies for cloud environments is preferred
Sprachkenntnisse
- English
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