Qa Automation Lead

Tekskills Inc.; Bengaluru; On-site; INR 700,000 - 1,100,000; Full time

Job summary

Tekskills Inc. is seeking a QA Engineer with strong Python skills and Java familiarity. The role emphasizes building test frameworks that run in CI/CD pipelines, applying AI techniques to automate testing, and delivering robust data validation with SQL.

The ideal candidate thrives in complex, established environments, can quickly learn large domains, and has experience stepping into testing ownership for specific regions while reducing reliance on manual processes through AI-powered automation.

Qualifications

• QA Engineer strong in Python, with Java familiarity a bonus.
• Experience building test frameworks running on a pipeline.
• Decent SQL skills.
• AI experience - where relevant and shows inventive & genuinely useful use of GenAI or agentic solutions.
• 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.

Responsibilities

• Role & responsibilities: QA Engineer with strong Python skills and familiarity with Java.
• Build and maintain test frameworks that run in CI/CD pipelines.
• Apply AI techniques to automate testing and improve coverage.
• Utilize SQL for data validation and data-driven tests.
• Navigate and test in complex, established landscapes with large data and legacy systems.
• Demonstrate proactive problem solving to accelerate automation with AI.

Skills

Python

Java familiarity

SQL

AI experience

Test frameworks

Automation

Legacy processes

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.