QA Principal

Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineers and over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks.

We are looking for a Principal QA Engineer to take ownership of a company-wide QA system and lead its continued development.

This is a senior individual contributor role working primarily through QA Technical Leads and Senior QA Engineers and partnering with Engineering Managers, Product, Architecture, and DevOps/SRE, while remaining hands-on in high-impact reviews, pilots, and critical investigations.

Responsibilities

• Take ownership of the company-wide Quality Engineering strategy, operating model, and improvement roadmap; continue evolving them as products, risks, and organizational needs change.
• Assess Quality Engineering maturity across domains, identify systemic bottlenecks and inconsistencies, and prioritize the improvements with the highest company-wide impact.
• Define and evolve cross-domain 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 together with Product, Engineering, Architecture, and DevOps/SRE.
• Own the strategic direction of the QA toolchain and automation architecture, and validate key technical decisions hands-on through code, prototypes, and architecture reviews across UI and backend automation. Python is preferred, while Go, Node.js, or another suitable stack is also relevant.
• Continuously benchmark market practices and emerging technologies, including AI; validate ideas through experiments and turn successful findings into company-wide transformation initiatives such as framework modernization, contract and performance testing, smarter test selection, and cloud-native test environments. Actively 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 meaningful quality metrics and make trends, risks, technical debt, and improvement outcomes visible to engineering leadership.
• Develop QA Technical Leads as domain-level technical owners, strengthening their ability to translate company-wide direction into sustainable practices and decisions within their domains.
• Influence, align stakeholders, and translate business, regulatory, and operational risks into clear 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 Quality practices risk-based testing, coverage strategy, shift-left, quality gates, testability, release readiness, and production quality signals.
• Strong hands-on programming experience and the ability to design and contribute to scalable UI and backend automation. Python is preferred, but strong experience with Go, Node.js, or another relevant stack is welcome.
• Strong experience with distributed backend systems, REST APIs, event-driven workflows, 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
• A research-driven mindset, practical experience evaluating new technologies, and 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 with complex integrations and high operational risk.
• 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

• A flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses.
• Medical insurance or reimbursement depending on location
• Access to mental health support
• Financial support for important life events
• 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
• Merch shop with rewards system
• Team offsites and company events

Stack: Python, Kubernetes

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