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Talent Complete • Poland
Salary: 500 compa
Role & seniority: QA and Performance Engineering Leader (10+ years; senior/lead level)
Automated testing & API testing: pytest, Postman
CI/CD: Azure DevOps, GitHub Actions
Performance testing: load/stress/resiliency/chaos testing
AI/ML evaluation: BLEU, ROUGE, perplexity, hallucination rate, grounding rate
Data & governance: synthetic test data, dataset versioning, model registry, release gates
Agent/workflow testing: multi-step AI agent orchestration, context injection
Data lineage/governance: Purview/Unity Catalog familiarity
Regulated industries: auditability, traceability, compliance controls
Architect and lead enterprise QA and performance initiatives across functional, regression, non-functional, performance, and AI/LLM evaluation
Create unified test taxonomy/coverage for units, integrations, E2E, and agent workflows; standardize automated test harness
Integrate QA into CI/CD with release gates; develop performance workload models and AI evaluation suites; deliver PoCs and golden dashboards
10+ years leading enterprise QA and performance testing in Fortune 500 environments
Enterprise QA architecture (functional, regression, non-functional, performance)
Automated testing expertise; API testing; CI/CD orchestration
Load/soak/chaos testing; performance engineering
AI/LLM evaluation metrics and agent workflow testing
Data governance, synthe
Talent Complete – a global recruitment IT matchmaker. We are the IT recruitment agency with access to the top talented software engineers, in Europe and globally. Currently, we have open recruitment for an experienced QA and Performence Engineering leader
QA and Performance Engineering leader with 10+ years of experience leading enterprise-scale Quality Assurance and Performance Engineering initiatives within Fortune 500 environments. Specialized in building end-to-end QA architecture for large-scale enterprise platforms, including modern AI/LLM-powered systems and multi-step agent workflows.
Skills Enterprise QA Architecture (functional + regression + non-functional + performance) Strong experience in automated testing + API testing frameworks (pytest/postman) Azure DevOps/Github Action CI/CD test orchestration Load/stress/resiliency and chaos testing framework and experience ML/LLM evaluation metrics (BLEU, ROUGE, perplexity, hallucination rate, grounding rate) Synthetic test data + dataset versioning Familiar with model registry + model release gate, and promotion pipelines Data lineage/governance awareness (purview/unity catalog) Multi-step AI agent workflow testing (tool chaining, agent orchestration, context injection) Experience working in regulated industries (auditability, traceability, compliance controls)
Expected Delivery Enterprise evaluation architecture covering functional, regression, non-functional, performance and AI/LLM evaluation Unified test taxonomy and coverage model across unit/integration/E2E/agent workflows Standardized automated test harness Integrated into CI/CD (functional + regression + smoke + perf) Performance workload models and automated load-testing harness for peak, stress, and resiliency scenarios AI model evaluation suite (hallucination, grounding, consistency, toxicity, correctness) with PoC validation AI agent workflow evaluation suit (multi-step chain correctness, tool invocation accuracy, recovery paths) with PoC Quality gates embedded in release pipelines with auto pass/fail scoring across all QA dimensions Golden dashboards (functional pass rate, latency/thought, error rate, hallucination quality, grounding metrics)
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To learn more about Talent Complete, please visit our web page: www.talentcomplete.com