Quality Assurance Test Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Boise (ID); On-site; USD 55,000 - 96,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Boise, Idaho is seeking a Quality Assurance Test Engineer to design, develop, and maintain automated test scripts using Selenium and related frameworks, perform API and performance testing with JMeter, and conduct manual testing when needed.

You will write complex SQL queries (Oracle & MSSQL) for data validation, collaborate with developers and product teams, participate in Agile/SAFe ceremonies, and contribute to continuous QA process improvements.

Qualifications

• Currently employed in a Quality Assurance role.
• 5–7 years of prior, continual experience in Quality Assurance roles.
• Strong, approaching expert-level, proficiency in Selenium, JMeter, API Testing, SQL (Oracle & MSSQL), Manual Testing.
• Ability to determine when automation vs. manual testing is appropriate.
• Solid understanding of SDLC, Agile/SAFe methodologies, and testing best practices.
• Familiarity with Java for automation scripting.
• Excellent communication and collaboration skills.

Responsibilities

• Design, develop, and maintain automated test scripts using Selenium and related frameworks.
• Conduct API testing and performance testing using JMeter.
• Perform manual testing when automation is not suitable, ensuring comprehensive coverage.
• Write and execute complex SQL queries (Oracle & MSSQL) for data validation and backend testing.
• Collaborate with developers and product teams to identify, document, and resolve defects.
• Provide clear communication on blockers, level of effort, and testing progress.
• Conduct regression testing to confirm defect remediation.
• Generate and present test coverage reports as needed.
• Participate in Agile/SAFe ceremonies and contribute to continuous improvement of QA processes.
• Demonstrate knowledge of SDLC, Java programming, and modern web browsers during hands-on evaluations.

Skills

Selenium

JMeter

API Testing

SQL

Manual Testing

Tools

AppDynamics

Maven

Apache

Linux (RHEL)

Docker

Job description

Job Description

Job Overview

• Job ID: J52661
• Job Title: Quality Assurance Test Engineer
• Location: Boise, ID
• Duration: 16 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

Key Responsibilities

• Design, develop, and maintain automated test scripts using Selenium and related frameworks.
• Conduct API testing and performance testing using JMeter.
• Perform manual testing when automation is not suitable, ensuring comprehensive coverage.
• Write and execute complex SQL queries (Oracle & MSSQL) for data validation and backend testing.
• Collaborate with developers and product teams to identify, document, and resolve defects.
• Provide clear communication on blockers, level of effort, and testing progress.
• Conduct regression testing to confirm defect remediation.
• Generate and present test coverage reports as needed.
• Participate in Agile/SAFe ceremonies and contribute to continuous improvement of QA processes.
• Demonstrate knowledge of SDLC, Java programming, and modern web browsers during hands-on evaluations.

Required Qualifications

• Currently employed in a Quality Assurance role.
• 5–7 years of prior, continual experience in Quality Assurance roles.
• Strong, approaching expert-level, proficiency in:
  • Selenium (UI automation)
  • JMeter (performance/load testing)
  • API Testing
  • SQL (Oracle & MSSQL)
  • Manual Testing
• Ability to determine when automation vs. manual testing is appropriate.
• Solid understanding of SDLC, Agile/SAFe methodologies, and testing best practices.
• Familiarity with Java for automation scripting.
• Excellent communication and collaboration skills.
• Preferred Skills
• Experience with:
  • AppDynamics (application performance monitoring)
  • Maven, Apache
  • Linux administration (RHEL)
  • Docker container development and testing (containerization)
• Awareness of infrastructure dependencies and ability to design tests that reflect real-world usage scenarios.
• Ideal Candidate Profile
• Enjoys identifying problems and stress‑testing systems under realistic conditions.
• Understands application dependencies on infrastructure and incorporates this into test design.
• Creates tests that are easily deployable, maintainable, and executable by team members.
• Comfortable working as an individual contributor with ≥80% of their time spent on test case development, execution, and defect documentation.

Equal Opportunity Employer

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