Senior Quality Assurance Automation Engineer

Federal Reserve System•St. Louis, MO

1d•$110,000 - $145,000•Onsite

About The Position

The Federal Reserve Bank of St. Louis is seeking an experienced Senior Quality Assurance 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 Manager and be a part of an agile product team responsible for testing cloud-native big data processing capabilities to help reduce improper payments as part of an AWS-based application. You also will work with engineers, data scientists, write database queries, perform end to end testing, and analyze data. Relocation incentives are available. This position will work onsite in the 8th District and work out of our St. Louis, MO office. There is the potential to work from the Kansas City, Cleveland, Dallas, or Richmond Federal Reserve Bank office.

Requirements

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
Proficient experience with Java, Selenium, Python, Jupyter Lab, and respective tools and technology, such as Jira and Xray
Experience independently creating large sets of test data in various file and data formats
AWS cloud services: EC2, S3, RDS, Redshift, Glue, Lambda, Step Functions, SageMaker, Config, Security Hub, Inspector
Proficient with performance testing and API testing tools like Postman and Gatling
Knowledge of Infrastructure as Code (IaC) tools
Position requires US Citizen

Nice To Haves

Knowledge of security testing methodologies for cloud environments is preferred

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, lambda, Glue, Redshift, EMR, 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 methodologies.
Create reusable test data, test artifacts, and participate in scrum ceremonies for planning and estimation.
Develop and 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 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.

Benefits

Relocation incentives are available.
Medical (4 options), Prescription, Dental (3 options), and Vision Insurance with no waiting period
401k/Thrift Plan with generous employer match
Employer-funded Pension Plan
Paid Vacation/Sick Time and Holidays
Flexible Spending Accounts and Healthcare Spending Accounts
Life Insurance and Long Term Disability Insurance
Tuition Reimbursement (undergraduate and graduate)
Parental Leave
Free onsite 24/7 Fitness Center including training classes, and locker room / shower facilities
Onsite Coffee Shop
Additional Convenience Benefits, Discounts and More…