ph3Responsibilities /h3 ul liWe are seeking a Senior QA Engineer to join our Card Processing team /li liYou 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 /li liThis is not a traditional “write and execute test cases” role /li liWe believe software engineers own their tests — your job is to make them better at it /li liYou 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 /li liDesign and implement layered quality sensors across our CI/CD pipeline — from static analysis to AI-driven code review passes /li liImprove and maintain E2E test suites for critical payment flows (card authorisation, clearing and settlement, tokenisation, 3D Secure) /li liReview PRs for test intent alignment — ensuring AI-authored and human-authored code meets the same quality bar /li liIdentify test coverage gaps and prioritise them by risk (customer impact, regulatory exposure) /li liBuild load testing and performance validation frameworks /li liCollaborate with the team on quality strategy — you raise the bar,



you don’t gatekeep it /li liExplore chaos engineering approaches to validate system resilience /li liContribute to audit-trail thinking — ensuring generated diffs and suppressed checks are traceable and defensible /li /ul h3Benefits /h3 ul liOngoing learning and development opportunities /li liRetirement planning /li liCharitable donation matching /li liVolunteer opportunities /li liEmployee development fund /li liMonthly happy hours /li liFree haircuts in our salon located at HQ /li liComplimentary dry cleaning at HQ /li liValet parking at HQ /li liShuttle service to/from NYC /li liGym located at HQ /li liRiver Cafe at HQ /li /ul h3Qualifications /h3 ul liStrong proficiency in English — written and verbal /li liFamiliarity with CI/CD pipelines, containerisation, and infrastructure-as-code /li liExperience testing RESTful APIs and event-driven systems /li liStrong analytical thinking — you pull bugs back to the spec, not just the code /li liExcellent communication skills — this role enables and mentors, not just audits; you need to teach, not agitate /li li5+ years in software engineering with a strong focus on quality and testing (equivalence partitioning, boundary analysis, risk-based prioritization) /li liComfort with regulated environments — you think in terms of audit trails, blast radius, and data classification /li liDemonstrated AI fluency — you use AI assistants daily, you know when they’re wrong, and you know when not to use them /li liProficiency in Go (or strong willingness to learn — test-design thinking matters more than language syntax) /li liUnderstanding of failure modes in distributed systems (event ordering, retries, idempotency, eventual consistency) /li liExperience using observability platforms (Datadog, New Relic, Elasticsearch, Grafana) to investigate issues and validate system behaviour /li liKnowledge of Domain-Driven Design (DDD) — bounded contexts, ubiquitous language, aggregate boundaries /li /ul /p #J-18808-Ljbffr

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