Senior QA Engineer

Responsibilities

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• 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

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• 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

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• 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 xqbhyrx 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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