Job ID:
J51532
Job Title:
Junior Salesforce QA
Location:
SAN JOSE, CA
Duration:
8 Months + Extension
Hourly Rate:
Depending on Experience (DOE)
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later
Employment Type:
W-2, 1099, C2C
Job Description:
We're on the lookout for a talented individual who can develop, implement, and execute automated UI test scripts for Salesforce applications using Java and tools like Selenium and Playwright.
Should have at least 2 years of experience .
The ideal candidate should have strong proficiency in writing and maintaining automated tests for web applications, with a specific focus on Salesforce user interfaces.
Experience with automation frameworks such as Karate, Junit, TestNG, and Cucumber is crucial. Familiarity with test automation in a Continuous Integration/Continuous Deployment (CI/CD) environment using tools like Jenkins and GitLab would be a significant asset.
In addition to automation skills, the candidate should be skilled in writing and optimizing SQL queries to validate data in both Oracle and Salesforce databases, including complex joins and subqueries.
A solid understanding of functional, regression, and cross-browser testing is vital.
Experience with API testing (REST/SOAP) using tools like Postman, SOAPUI, or Insomnia is also necessary.
The candidate will be responsible for monitoring test execution, checking logs, logging issues, and collaborating closely with development teams to resolve defects.
Excellent problem-solving skills and the ability to analyze and troubleshoot issues in both UI and backend systems are necessary.
Strong communication and collaboration skills are essential for working effectively within an agile team environment.
Experience in financial systems, specifically with credit card and banking applications, is highly desirable.
Additionally, the candidate should have experience with test management and issue tracking using JIRA and Confluence, as well as familiarity with version control tools such as Git.
Familiarity with cloud-based systems like Amazon CloudWatch is a plus, and experience working with TSYS to validate credit card transactions would be an added advantage.
MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract