Senior Quality Assurance Automation Engineer

The Federal Reserve

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
St. Louis, MOKansas City, MOCleveland, OHDallas, TXRichmond, VA
Salary
$110,000–$145,000 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k
This role $128k
$99k $209k
below market most similar roles pay here above market

This role pays less than 83% of similar roles. Most pay $140,000–$198,037 — the blue band above. At the midpoint, this role pays about $128k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About The Federal Reserve

The Federal Reserve is the central bank of the United States—one of the world's most influential, trusted and prestigious financial organizations.

The Federal Reserve currently has 29 open roles on FindRole.

Listed pay typically runs $113,250–$158,300 across 14 roles with salary data.

Most-posted roles

View all roles at The Federal Reserve

At a glance

TL;DR · Senior Quality Assurance Automation Engineer

The Senior Quality Assurance Automation Engineer joins an agile product team to design, develop, and maintain automated testing solutions for a cloud-based big data analytics platform. This role focuses on testing cloud-native big data processing capabilities to reduce improper payments within an AWS-based application. Daily responsibilities include creating test plans, writing database queries, performing end-to-end, API, performance, and usability testing, and mentoring peers. The position requires proficiency in Java, Python, Selenium, Jupyter Lab, and Jira. You will utilize AWS services including EC2, S3, RDS, Redshift, Glue, Lambda, and SageMaker, alongside tools like Postman and Gatling. The work involves troubleshooting complex data, validating cloud infrastructure, and collaborating with data scientists and engineers to ensure high-quality application services and robust data processing.

What you'll do

  • Design, develop, and maintain test automation frameworks and scripts for cloud-based applications using Python and AWS services.
  • Create comprehensive test plans and strategies to validate cloud infrastructure, complex data, and applications across multiple environments.
  • Write and analyze complex data queries for testing relational SQL databases, specifically Amazon Redshift.
  • Perform load, performance, and scalability testing of cloud applications to establish baselines and identify necessary enhancements.
  • Execute requirement validation, integration, regression, API, and usability testing for big data processing capabilities.
  • Create reusable test data and artifacts to support automated testing and development cycles.
  • Mentor quality assurance peers and provide technical leadership to improve cloud-native testing processes.
  • Conduct peer test script reviews and perform defect remediation to ensure features meet requirements.

What we're looking for

  • Bachelor's degree in Information Technology or commensurate experience.
  • 5+ years of experience writing and analyzing complex data queries and automation scripts for Relational SQL databases, especially Redshift.
  • Proficient experience with Java, Selenium, Python, Jupyter Lab, Jira, and Xray.
  • Experience creating large sets of test data in various file and data formats.
  • Experience with AWS cloud services including EC2, S3, RDS, Redshift, Glue, Lambda, Step Functions, SageMaker, Config, Security Hub, and Inspector.
  • Proficient with performance testing and API testing tools like Postman and Gatling.
  • Knowledge of Infrastructure as Code (IaC) tools.
  • Knowledge of security testing methodologies for cloud environments (preferred).

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