Demo

Solution Architect Tosca with Infor LN

Altezzasys
Chicago, IL Full Time
POSTED ON 4/25/2025
AVAILABLE BEFORE 6/25/2025

Job Details

Solution Architect Tosca with Infor LN @ Chicago, IL, 60661

  • Top 3 Skill Sets:
    1. Infor LN in Manufacturing(8 years critical)
    2. Tricentis Tosca Automation(strong experience needed)
    3. Automation Architecture Leadership(build/optimize test frameworks, lead team)
  • Required Education & Certification:
    • Bachelor s in Computer Science or IT (Master s preferred)
    • ISTQB Test Automation Certification (preferred)
  • Years of Experience:
    • 15 overall | 8 in Infor LN | 5 in automation

Job Description:

We are looking for a Solution Architect with strong hands-on experience in Tricentis Tosca and Infor LN ERP to join a leading manufacturing automation project. You ll be the go-to technical lead for setting up and optimizing regression and end-to-end test automation, working in a hybrid capacity and collaborating closely with development and QA teams.

This is an excellent opportunity to lead architecture, mentor a team, and shape testing strategy for a global enterprise client.

Must-Have Skills:

  • 15 years in software testing with at least 5 years in automation
  • 8 years working with Infor LN ERPin manufacturing environments
  • Tosca automation frameworkexpertise
  • Hands-on with QTestfor test management
  • Strong understanding of CI/CD, DevOps, SQL, and API testing

Nice-to-Have:

  • Experience with BAAN ERP
  • Knowledge of JMeter, LoadRunner
  • ISTQB or equivalent certification
  • Familiarity with AI-driven test tools or RPA

What You ll Be Doing:

  • Architecting automated regression test frameworks (Tosca QTest)
  • Leading strategy, governance, and CI/CD integration
  • Automating end-to-end test cases across Infor LN (Manufacturing, Supply Chain, Finance)
  • Managing and mentoring automation engineers
  • Driving testing excellence across Agile/DevOps teams

Work Setup:

  • Hybrid role: Onsite at Lisle, IL 3x per week is preferred
  • Travel: Covered if required
  • Local candidates preferred, but strong remote candidates will be considered

Education:

  • Bachelor s in Computer Science, Information Technology, or related field (Master s preferred)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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