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TOSCA Automation Engineer

2 weeks ago

Pune, Maharashtra, India Alphanext Technology Solutions Full time ₹ 9,00,000 - ₹ 12,00,000 per year
About Alphanext

Welcome to Alphanext, a leading provider of talent solutions headquartered in London, with operational bases in Pune and Indore. With a strong focus on the global technology community, we are dedicated to connecting exceptional talent with innovative organizations around the world.

Overview

We are seeking a skilled TOSCA Automation Engineer with 5-10 years of experience in automation testing and framework design using Tricentis TOSCA. The role involves building automation solutions across backend and frontend applications, implementing regression suites, and ensuring automation best practices throughout the SDLC and STLC. The ideal candidate will have strong technical expertise, Agile experience, and a willingness to continuously learn new tools and technologies.

Key Responsibilities
  • Design and implement automation frameworks using TOSCA for backend and frontend applications.
  • Develop regression suites and prepare test cases for release-based testing.
  • Execute automation scripts, analyze results, and ensure effective defect management.
  • Utilize Module Scanning, Test Case Design, and Test Data Management within TOSCA.
  • Create and manage RTBs, Recovery Scenarios, and Classes for automation.
  • Apply exception handling techniques in TOSCA to ensure test stability.
  • Collaborate in Agile development environments, participating in sprint ceremonies.
  • Support automation framework tailoring, extension, and continuous optimization.
Required Skills & Experience

Experience:

  • 5-10 years of experience in automation testing using Tricentis TOSCA.

Technical Expertise:

  • Hands-on with TOSCA automation frameworks across backend and frontend systems.
  • Strong knowledge of SDLC, STLC, and automation lifecycle phases.
  • Skilled in Module Scanning, Test Data Management, RTBs, Recovery Scenarios, and Exception Handling.
  • Proficient in automation execution, analysis, and reporting.

Attributes & Soft Skills:

  • Strong problem-solving and analytical abilities.
  • Good understanding of Agile methodologies and team collaboration.
  • Proactive learning mindset with adaptability to new tools and technologies.
Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.