QA Principal

CoinsPaid

. Own the company-wide Quality Engineering strategy, operating model, and improvement roadmap .

Posted 10/23/2026full-timeRemoteLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Quality Engineering strategy, risk-based testing, and automation architecture, with a strong focus on continuous improvement and stakeholder influence. Proficient in defining quality metrics and leading cross-team initiatives to enhance QA processes and outcomes.

Highest-signal resume keywords

Quality Engineering StrategyRisk-Based TestingPython ProgrammingCI/CD PracticesStakeholder Influence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quality AssuranceTest ArchitectureAutomation DesignDistributed Backend SystemsREST APIsEvent-Driven WorkflowsQuality MetricsShift-Left PracticesProduction Quality SignalsTechnical Leadership

Soft Skills

Influencing StakeholdersResearch-Driven MindsetEffective Communication

Tools & Technologies

DockerKubernetesCI/CD ToolsObservability ToolsAI Tools

Industry Keywords

FintechCryptoPaymentsComplianceFinancial OperationsEvent-Driven Architecture

Tech Stack

Tools & technologies

CloudDockerJavaScriptKafkaKubernetesNode.jsPythonSDLCGo

About the role

Key responsibilities & impact

Own the company-wide Quality Engineering strategy, operating model, and improvement roadmap
Assess Quality Engineering maturity across domains and prioritize high-impact improvements
Define and evolve standards and guardrails for test architecture, coverage, quality evidence, testability, observability, release readiness, and production validation
Drive continuous improvement of the end-to-end QA process and embed shift-left practices, quality controls, and risk-based gates across the SDLC
Own the strategic direction of the QA toolchain and automation architecture
Validate technical decisions through code, prototypes, and architecture reviews across UI and backend automation
Benchmark market practices and emerging technologies, including AI, and turn successful experiments into transformation initiatives
Define scalable release-quality principles and provide 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
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
Influence stakeholders and translate business, regulatory, and operational risks into engineering priorities
Collaborate with QA Technical Leads, Senior QA Engineers, Engineering Managers, Product, Architecture, and DevOps/SRE

Requirements

What you’ll need

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 Quality practices, 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
Python preferred; strong experience with Go, Node.js, or another relevant stack welcome
Strong 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 and practical experience evaluating new technologies
Confident, responsible, and 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
Nice to have: experience with Kafka, MQ, Debezium, ledger-like systems, eventual consistency, and event-driven architecture
Nice to have: experience with contract, performance, load, resilience, or reliability testing

Benefits

Comp & perks

Benefit Bar – up to €230/month
Fully remote work from almost anywhere
Optional offices and relocation support
Flexible, async-friendly environment
Budget for courses, certifications, and professional development
Language learning support
Cross-team learning and knowledge sharing
Medical insurance or reimbursement depending on location
Access to mental health support
Financial support for important life events
Merch shop with rewards system
Team offsites and company events