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We are hiring a senior Quality Engineering leader who owns end-to-end quality, release sign-off, and automation strategy across our platform including AI agents, web applications, APIs, and databases. This role blends: Quality Ownership Automation & Agentic Testing Leadership Release & Go-Live Authority Product-aligned execution (PO-style ownership) You will start by establishing robust manual and exploratory testing foundations, then systematically drive automation-first quality, including AI agent validation, critic agents, eval frameworks, and safety guardrails. This is not a passive QA role. You are accountable for production quality. Key Responsibilities End-to-End Quality Ownership & Release Sign-Off Own quality outcomes across the full delivery lifecycle Act as release authority, driving go/no-go decisions Define and enforce quality gates across features, agents, and releases Partner with Product and Engineering to balance speed and quality Reduce production defects through proactive automation and validation Automation-First Quality Strategy Define and own the automation roadmap (UI, API, DB, agentic systems) Build and maintain hybrid automation frameworks using Python Drive CI/CD-integrated automated testing pipelines Ensure automation coverage continuously replaces repetitive manual testing Guide aligned Quality Engineers in automation implementation Agentic AI & LLM Quality Engineering Own quality for AI agents, tool calls, and multi-step workflows Validate: Agent behavior & reasoning paths Tool invocation correctness Hallucinations & unsafe outputs RAG accuracy and grounding Define and execute agent evaluation (evals) frameworks Collaborate with Critic Engineers to design: Critic agents Automated agent validation Benchmark datasets & scoring rubrics Lead innovation in agent testing methodologies Manual, Exploratory & Scenario-Based Testing Drive high-quality manual and exploratory testing where automation is not yet viable Design test scenarios coverin .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.