Senior Automation Engineer

AlgoShack

Bengaluru

On-site

INR 600,000 - 900,000

Full time

14 days+

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Job summary

AlgoShack is seeking a Desktop Automation Test Engineer with 3–5 years of experience to automate Windows-based desktop applications. The role involves building automation frameworks using Python and TestComplete for scientific applications in imaging and microscopy. Responsibilities include designing automation scripts, handling UI workflows, and integrating tests into CI/CD pipelines. Candidates should have a strong background in automation, effective debugging skills, and the ability to improve test coverage across applications.

Qualifications

  • 3–5 years of experience in software test automation.
  • Strong experience in Python-based automation scripting.
  • Hands-on experience with TestComplete for desktop automation.

Responsibilities

  • Design, develop, and maintain automation scripts for Windows desktop applications using Python and TestComplete.
  • Automate complex UI workflows, imaging operations, and system-level scenarios in desktop environments.
  • Integrate automated tests into CI/CD pipelines to support continuous testing.

Skills

Python-based automation scripting
TestComplete
UI automation
Debugging automation failures
Version control systems (Git)
Strong analytical skills
Communication skills

Job description

We are seeking a Desktop Automation Test Engineer with 3–5 years of experience in automating Windows-based desktop applications. The role involves building and maintaining robust automation frameworks using Python and TestComplete to validate complex application workflows.

The candidate will work on highly specialized scientific desktop applications used in imaging and microscopy environments, requiring strong automation expertise, understanding of complex UI interactions, and the ability to handle multiple system configurations and device integrations.

The engineer will collaborate with product engineering teams, QA teams, and domain experts to design scalable automation solutions that improve test coverage, reliability, and productivity across releases.

Key Responsibilities
  • Design, develop, and maintain automation scripts for Windows desktop applications using Python and TestComplete.
  • Automate complex UI workflows, imaging operations, and system-level scenarios in desktop environments.
  • Develop reusable automation components and contribute to a scalable test automation framework.
  • Automate functional, regression, and integration test scenarios across multiple product modules.
  • Handle automation challenges involving device configurations, imaging workflows, and system variations.
  • Integrate automated tests into CI/CD pipelines to support continuous testing.
  • Analyze application logs, test results, and automation reports to identify failures and defects.
  • Collaborate with developers and product teams to improve testability and automation coverage.
  • Maintain test documentation, automation scripts, and execution reports.
  • Continuously enhance automation reliability, maintainability, and execution speed.
Required Skills & Experience
  • 3–5 years of experience in software test automation.
  • Strong experience in Python-based automation scripting.
  • Hands‑on experience with TestComplete for desktop automation.
  • Good understanding of automation framework design and reusable test architecture.
  • Experience in UI automation, object identification, synchronization handling, and test stability improvements.
  • Familiarity with version control systems (Git) and defect management tools.
  • Ability to debug automation failures and identify root causes.
  • Strong analytical and problem‑solving skills.
  • Good communication and collaboration skills.
Preferred Qualifications
  • Experience working with scientific imaging or microscopy‑related software applications.
  • Exposure to hardware‑integrated software environments involving cameras, imaging devices, or sensors.
  • Experience with CI/CD tools and automated test execution pipelines.
  • Knowledge of image validation, OCR‑based validation, or visual testing approaches.
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