Description
No description provided.
Responsibilities
•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
Requirements
•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
Nice to have
•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
Conditions
No conditions stated in the posting.
