Responsibilities

- We are seeking a Senior QA Engineer to join our Card Processing team
- You will design and build the quality systems that keep our payment platform reliable at scale - in an environment where new code is produced using AI tooling and judgment is the bottleneck, not generation speed
- This is not a traditional “write and execute test cases” role
- We believe software engineers own their tests — your job is to make them better at it
- You will own the sensor strategy that catches what AI gets wrong, verify that test intent matches business requirements, and raise the quality bar for the entire team
- Design and implement layered quality sensors across our CI/CD pipeline — from static analysis to AI-driven code review passes
- Improve and maintain E2E test suites for critical payment flows (card authorisation, clearing and settlement, tokenisation, 3D Secure)
- Review PRs for test intent alignment — ensuring AI-authored and human-authored code meets the same quality bar
- Identify test coverage gaps and prioritise them by risk (customer impact, regulatory exposure)
- Build load testing and performance validation frameworks
- Collaborate with the team on quality strategy — you raise the bar, you don’t gatekeep it
- Explore chaos engineering approaches to validate system resilience
- Contribute to audit-trail thinking — ensuring generated diffs and suppressed checks are traceable and defensible

Benefits

- Ongoing learning and development opportunities
- Retirement planning
- Charitable donation matching
- Volunteer opportunities




- Employee development fund
- Monthly happy hours
- Free haircuts in our salon located at HQ
- Complimentary dry cleaning at HQ
- Valet parking at HQ
- Shuttle service to/from NYC
- Gym located at HQ
- River Cafe at HQ

Qualifications

- Strong proficiency in English — written and verbal
- Familiarity with CI/CD pipelines, containerisation, and infrastructure-as-code
- Experience testing RESTful APIs and event-driven systems
- Strong analytical thinking — you pull bugs back to the spec, not just the code
- Excellent communication skills — this role enables and mentors, not just audits; you need to teach, not agitate
- 5+ years in software engineering with a strong focus on quality and testing (equivalence partitioning, boundary analysis, risk-based prioritization)
- Comfort with regulated environments — you think in terms of audit trails, blast radius, and data classification
- Demonstrated AI fluency — you use AI assistants daily, you know when they’re wrong, and you know when not to use them
- Proficiency in Go (or strong willingness to learn — test-design thinking matters more than language syntax)
- Understanding of failure modes in distributed systems (event ordering, retries, idempotency, eventual consistency)
- Experience using observability platforms (Datadog, New Relic, Elasticsearch, Grafana) to investigate issues and validate system behaviour
- Knowledge of Domain-Driven Design (DDD) — bounded contexts, ubiquitous language, aggregate boundaries

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📌 Senior QA Engineer (Barcelona)
🏢 Cross River
📍 Barcelona