QA - Agentic SDLC
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Key skills for this role
About the Role
We are seeking a QA professional to govern AI-driven development lifecycles by writing autonomous testing agents, engineering testing scenarios, and building governance frameworks.
Key Skills for This Role
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Overview
An Agentic SDLC QA (Quality Assurance) role focuses on governing AI-driven
development lifecycles rather than manually executing test scripts.
Professionals in this
space write autonomous testing agents, engineer testing scenarios, and build
governance frameworks to validate software built by AI coding tools.
Key Responsibilities
- Agent Orchestration: Design, configure, and manage autonomous AI agents
- (e.g., QA.tech, Test IO, and Applitools) capable of crawling, modeling, and
- testing applications independently.
- Goal-Directed Testing: Define test intent and constraints rather than rigid, manual
- test scripts; evaluate how well autonomous agents handle edge cases and non-
- deterministic logic.
- SDLC Governance: Implement active runtime controls and guardrails to ensure
- AI-generated code passes security, compliance, and functional standards before
- hitting production.
- Failure Analysis & Feedback: Train agents to analyze failure patterns, identify
- root causes, and iterate upon test sets without waiting for human intervention.
Core Requirements
- AI & Automation Expertise: Proven experience in designing QA frameworks and
- evaluating GenAI/AI accelerators for test case generation and defect
- management.
- Technical Skills: Familiarity with modern test automation frameworks (e.g.,
- Playwright, Appium) paired with strong programming or scripting capabilities.
- Understanding of LLMs: Knowledge of prompt engineering, Retrieval-Augmented
- Generation (RAG), and context management for AI systems.
- Strategic Vision: Shift from "test execution" to "quality engineering strategy,"
- ensuring continuous testing aligns with rapid development velocity
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