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Looking For - Non-Functional Test NFT - Lead - 10+ Yrs. - Immediate

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Looking For - Non-Functional Test NFT - Lead - 10+ Yrs. - Immediate

Bounteous

Looking For - Non-Functional Test NFT - Lead - 10+ Yrs. - Immediate

Skills

AI

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

4 September 2026

What they need


Role & responsibilities

Non-Functional Test (NFT) Lead

Exp - 10 Yrs +

Notice period - Immediate joiner

Location - Bang/GGN/Chennai

Preferred candidate profile

Lead the non-functional testing capability across the domain performance, scalability, resilience, and security-related testing shifting NFT left into the delivery lifecycle and using AI to improve efficiency, analysis, and coverage.

Key Responsibilities

  • Own the domain NFT strategy: performance, load, stress, scalability, and resilience testing.
  • Shift NFT left — embed non-functional validation early rather than at end-of-cycle.
  • Leverage AI for test design, results analysis, bottleneck identification, and reporting.
  • Define NFT standards, entry/exit criteria, and non-functional acceptance thresholds.
  • Lead performance engineering activities, environment/test-data readiness, and tooling.
  • Analyse results, identify root causes (e.g. memory, latency, throughput), and drive remediation with engineering teams.
  • Provide clear NFT reporting and risk assessment to delivery and senior stakeholders.
  • Build and mentor the NFT team; grow non-functional capability across the domain.

Skills & Experience

  • Strong background in performance and non-functional testing at scale.
  • Hands-on with performance tooling and NFT frameworks; strong results analysis and root-cause skills.
  • Experience embedding NFT into CI/CD and shift-left delivery.
  • Practical use of AI to accelerate NFT analysis, reporting, or test creation.
  • Effective communicator able to translate NFT risk into business terms for leadership.

Success Measures

  • Non-functional risks identified earlier in the lifecycle.
  • Improved system performance, scalability, and resilience pre-release.
  • Efficiency gains in NFT execution and analysis through AI.
  • Consistent NFT standards and reporting adopted across teams.

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