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QA Engineer
Telekom company
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QA Engineer

at Telekom company

Agency job
5 - 8 yrs
₹9L - ₹20L / yr
Gurugram
Skills
skill iconJava
Rest Assured
Karate
API
Large Language Models (LLM) tuning
Generative AI
Artificial Intelligence (AI)

Key Responsibilities

Core Engineering & Testing

  • Design and implement scalable, maintainable automation frameworks for API and backend systems.
  • Own end-to-end test strategy across functional, system, and integration layers.
  • Build robust API automation suites using Java (Rest Assured/Karate) and modern tooling.
  • Collaborate closely with developers, product managers, and DevOps teams in an agile environment to ensure high-quality releases.
  • Design and validate AI-generated test cases for APIs, including authentication flows, request chaining, and error handling.
  • Build and maintain QA agentic systems capable of:
  • Auto-generating test cases from requirements
  • Detecting coverage gaps across services
  • Suggesting missing edge cases and negative scenarios
  • Test AI-based applications (LLMs, copilots, intelligent services) for correctness, hallucination risks, and robustness across edge cases.
  • Define testing strategies for non-deterministic systems, including:
  • Prompt evaluation frameworks
  • Response validation heuristics
  • Dataset-driven testing

Quality Intelligence & Platform Thinking

  • Build tools that provide real-time visibility into test coverage, risk areas, and defect patterns.
  • Leverage AI/ML techniques for:
  • Defect clustering and root cause analysis
  • Test optimization and prioritization
  • Contribute to internal QA platforms such as API coverage mapping and intelligent test generation systems.

Mandatory Skills & Requirements

  • 5–8 years of experience in API testing and automation.
  • Strong programming skills in Java (preferred) or Python/Golang.
  • Hands-on experience with API automation frameworks such as Rest Assured, Karate, or similar tools.
  • Strong understanding of REST APIs, microservices architecture, request/response validation, and authentication flows.
  • Experience in test planning, strategy, and execution across multiple system layers.
  • Ability to analyze logs, debug failures, and collaborate with stakeholders for issue resolution.
  • Practical exposure to AI tools for test generation, with the ability to refine and productionize outputs.
  • Minimum 1 year of hands-on experience in AI projects involving RAG Models, Multi-Agent Systems, or Generative AI is mandatory.
  • Candidates should currently be working with Product-based companies only.


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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