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описание
Cross River builds infrastructure for financial products, powering payments, cards, lending, and digital asset capabilities for fintechs, enterprises, and other innovators.
задачи
Design and implement layered quality sensors across the CI/CD pipeline, from static analysis to AI-driven code review passes;
Improve and maintain E2E test suites for critical payment flows, including card authorisation, clearing and settlement, tokenisation, and 3D Secure;
Review PRs for test intent alignment and ensure AI-authored and human-authored code meets the same quality bar;
Identify test coverage gaps and prioritise them by customer impact and regulatory exposure;
Build load testing and performance validation frameworks;
Collaborate with the team on quality strategy and raise the quality bar;
Explore chaos engineering approaches to validate system resilience;
Contribute to audit-trail practices by ensuring generated diffs and suppressed checks are traceable and defensible.
требования
5+ Years in software engineering with a strong focus on quality and testing, including equivalence partitioning, boundary analysis, and risk-based prioritisation;
Proficiency in Go or strong willingness to learn;
Daily use of AI assistants with the ability to identify incorrect outputs and determine when not to use them;
Experience testing RESTful APIs and event-driven systems;
Familiarity with CI/CD pipelines, containerisation, and infrastructure-as-code;
Strong analytical thinking with the ability to trace bugs back to specifications;
Experience with regulated environments and audit trails, blast radius, and data classification;
Strong proficiency in English, written and verbal;
Excellent communication skills and the ability to teach and mentor;
Nice to have: Experience with observability platforms such as Datadog, New Relic, Elasticsearch, and Grafana; understanding of distributed-system failure modes, including event ordering, retries, idempotency, and eventual consistency; knowledge of Domain-Driven Design, including bounded contexts, ubiquitous language, and aggregate boundaries.
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