Qa Automation Lead

Tekskills Inc.

Dadri

On-site

INR 600,000 - 1,000,000

Full time

14 days+

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Job summary

Tekskills Inc. is seeking a QA Engineer strong in Python, with Java familiarity a bonus, to join a dynamic team in India. The role focuses on AI-powered testing, building robust test frameworks, and ensuring quality across complex systems.

Ideal candidates will have solid SQL skills and a track record of working in established environments where fast upskilling and automation are valued. A proactive problem-solver who can adapt to legacy processes seeking improvement will thrive.

Qualifications

  • Strong QA engineer with Python and Java familiarity.
  • Experience building test frameworks and pipelines.
  • Proficient in SQL.
  • Experience with GenAI or AI-powered testing is a plus.

Responsibilities

  • Demonstrate strong Python QA skills; Java knowledge a bonus.
  • Leverage AI experience to develop GenAI or agentic solutions.
  • Build test frameworks running in a pipeline.
  • Utilize SQL skills in testing and data validation.
  • Navigate and accelerate testing in complex legacy landscapes.
  • Describe how you own testing in specific regions; regional takeover.
  • Improve processes to automate testing despite legacy manual steps.
  • Learn quickly and engineer solutions to identified problems.

Skills

Python
Java
AI experience
Test automation
SQL
Legacy handling

Job description

Role & responsibilities
  • QA Engineer strong in python, with Java familiarity a bonus
  • AI experience - where relevant and shows inventive & genuinely useful use of GenAI or agentic solutions.
  • Experience building test frameworks running on a pipeline.
  • Decent SQL skills.
  • Especially keen to hear how they have worked in a complex, established landscape - how do they handle it when there is massive amounts to learn and need to get up to speed fast.
  • Describe cases where they have stepped in and taken over testing for an area, in this case a specific region/region.
  • Good quality engineering talent who isn't afraid to deal with the legacy manual processes to accelerate AI-powered automation process.
  • Work hard to learn what's needed and then engineer their way out of problems.
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