qa engineer (auto) for company-wide QA system

Описания нет

• Own and evolve the company-wide Quality Engineering strategy, operating model, and improvement roadmap
• Assess Quality Engineering maturity across domains, identify systemic bottlenecks and inconsistencies, and prioritize high-impact improvements
• Define and evolve cross-domain standards and guardrails for test architecture, coverage, quality evidence, testability, observability, release readiness, and production validation
• Improve the end-to-end QA process and embed shift-left practices, quality controls, and risk-based gates across the SDLC with Product, Engineering, Architecture, and DevOps/SRE
• Own the strategic direction of the QA toolchain and automation architecture, validating key technical decisions through code, prototypes, and architecture reviews across UI and backend automation
• Benchmark market practices and emerging technologies, including AI; validate ideas through experiments and turn successful findings into company-wide transformation initiatives
• Use AI in daily engineering work and advance its adoption across QA
• Define scalable release-quality principles and provide technical recommendations for systemic, cross-team, or ambiguous quality risks
• Lead cross-team investigations and root-cause analysis for critical incidents, unstable environments, systemic automation failures, and quality problems without a clear owner
• Establish quality metrics and make trends, risks, technical debt, and improvement outcomes visible to engineering leadership
• Develop QA Technical Leads as domain-level technical owners and strengthen their ability to apply company-wide direction within their domains
• Influence and align stakeholders, translating business, regulatory, and operational risks into engineering priorities

• 8+ Years in Quality Assurance / Quality Engineering, including technical leadership across multiple teams or domains
• Experience defining QA strategy, standards, or large-scale transformations with measurable results
• Deep knowledge of risk-based testing, coverage strategy, shift-left, quality gates, testability, release readiness, and production quality signals
• Strong hands-on programming experience and ability to design and contribute to scalable UI and backend automation
• Experience with distributed backend systems, REST APIs, event-driven workflows, and third-party integrations
• Experience with CI/CD, Docker/Kubernetes, cloud-native or GitOps environments, and observability tools
• Ability to define useful quality metrics, communicate technical risk, and influence senior stakeholders
• Research-driven mindset, practical experience evaluating new technologies, and confident, responsible, active use of AI tools in everyday engineering work
• Good spoken and written English and Russian
• Будет плюсом: Experience in fintech, crypto, payments, compliance, financial operations, or another regulated domain with complex integrations and high operational risk; experience with Kafka, MQ, Debezium, ledger-like systems, eventual consistency, and event-driven architecture; experience with contract, performance, load, resilience, or reliability testing

• Условий в вакансии нет