Mainframe QA

MACHINE LEARNING TECHNOLOGIES LLC

Cincinnati (OH)

On-site

USD 55,104,000 - 82,656,000

Full time

14 days+

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Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Mainframe QA Consultant in Cincinnati for a contract role. The ideal candidate will have over 5 years of experience in Mainframe QA and must be proficient in COBOL, JCL, and database systems like DB2.

This position entails ensuring the quality of healthcare systems through various testing methods, including functional, regression, and UAT testing. Familiarity with HIPAA regulations and experience in the healthcare sector is crucial. The contract offers flexibility and opportunities for extension.

Qualifications

  • 5+ years of Mainframe QA / Testing experience.
  • Strong hands-on experience with COBOL, JCL, CICS, VSAM, DB2.
  • Experience in healthcare domain focusing on Claims and Eligibility.

Responsibilities

  • Perform manual testing of Mainframe healthcare applications.
  • Analyze healthcare business requirements and create test cases.
  • Execute functional, system, regression, and UAT testing.

Skills

Mainframe QA / Testing experience
COBOL, JCL, CICS, VSAM, DB2
Healthcare domain (Claims, Enrollment, Eligibility)
Strong SQL skills
Batch and online testing
Familiarity with HIPAA regulations
Agile or Waterfall environments

Tools

ALM
Quality Center
JIRA

Job description

Job Overview

  • Job ID: J52939
  • Job Title: Mainframe QA
  • Location: Cincinnati, OH
  • Duration: 12 months + extension
  • Hourly Rate: Depends 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 are looking for an experienced Mainframe QA Consultant to support healthcare applications for a contract engagement in Cincinnati.

The candidate will be responsible for ensuring the quality and accuracy of mainframe-based systems that support healthcare operations, claims, eligibility, and member data.

Key Responsibilities
  • Perform manual testing of Mainframe healthcare applications
  • Analyze healthcare business requirements and translate them into test cases and test scenarios
  • Execute functional, system, regression, and UAT testing
  • Validate batch processing, online transactions, and data feeds
  • Perform data validation using DB2 and SQL
  • Test claims processing, eligibility, enrollment, provider, and member data
  • Validate HIPAA‑compliant data handling
  • Identify, log, and track defects through resolution
  • Work closely with developers, business analysts, and healthcare SMEs
  • Prepare test execution reports and defect metrics
Required Skills
  • 5+ years of Mainframe QA / Testing experience
  • Strong hands‑on experience with COBOL, JCL, CICS, VSAM, DB2
  • Experience in Healthcare domain (Claims, Enrollment, Eligibility, Provider, Member systems)
  • Strong SQL skills for data validation
  • Experience with batch and online testing
  • Familiarity with HIPAA regulations
  • Experience working in Agile or Waterfall environments

Tools: ALM / Quality Center / JIRA.

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.

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