Location: Atlanta. GA (Hybrid - need to come onsite 2-3 days a month)
Duration: 12 Months
No 3rd Parties / No C2C
Cannot sponsor or transfer a visa.
W2 only
This role offers the opportunity to apply your expertise in manual and automated testing while gaining hands-on experience with advanced AI tools like GitHub Copilot. You'll contribute to a project that supports law enforcement by analyzing geolocation data from cell phone pings, bank transactions, and public records, integrating insights across state lines.
Key Responsibilities:
Execute manual and automated testing for geolocation-based applications.
Validate and ensure functionality through cross-state data integration.
Collaborate with developers to optimize QA processes using AI tools.
Utilize BDD frameworks to enhance test coverage and efficiency.
Required Skills:
7+ years of QA experience with manual and automation testing (experience with reputable companies preferred).
Solid expertise with Selenium (modifications, not scripting from scratch).
Java knowledge to read and adjust code as needed.
Proficiency with Cucumber for BDD and light Gherkin scripting.
Experience with Karate for CI/CD testing.
Familiarity with tools like Jira for task tracking and SQL for querying databases.
Background in geolocation technologies is a strong plus (e.g., Uber, FedEx, UPS).