Your Contribution Will Be

• Cross-domain architecture and technical leadership — own the architecture across risk, fraud, scams, money operations, reconciliations, and chargebacks; set the technical direction with versioned APIs and event-driven design, and raise the bar for the teams
• Real-time risk and fraud systems — architect the low-latency systems that score transactions for risk and fraud and act on them before or at authorization
• Money movement and financial correctness — build money operations and reconciliation systems with idempotency, exactly-once semantics, and auditable ledgers, so every cent is accounted for
• Scams and disputes — design the platforms behind scam prevention and the chargeback and dispute lifecycle, aligned with card-network rules and regulatory requirements
• Bank-grade, resilient systems — design highly available, compliant capabilities engineered for a zero-tolerance-for-failure environment, where feature velocity never compromises reliability
• You Build It, You Run It — champion a YBIYRI culture: your teams design for multi-tenancy, elastic scaling, and automated observability, and own their microservices in production
• Mentorship and cross-functional collaboration — mentor engineers and partner with Product, Data/ML, Compliance, and Staff Engineers across domains to deliver complex, cross-team work

What Success Looks Like

Within your first 6–12 months, you've led the architecture of at least one core capability across the unit (risk decisioning, fraud or scam prevention, money operations, reconciliation, or chargebacks), your teams own their services in production under a YBIYRI model, and you're the technical voice Yuno trusts on financial correctness and real-time risk.

Skills You Need

Minimum Qualifications

• Extensive software engineering experience, with deep expertise in Go and/or Kotlin (our core backend stack) and strength across the full stack
• A proven track record architecting robust, scalable, and maintainable distributed systems — event-driven, high-throughput, low-latency — with a strong grasp of design patterns and best practices
• Experience building financial or risk-critical systems where correctness, consistency, and auditability matter (ledgers, reconciliation, real-time decisioning, or fraud/risk engines)
• Strong experience with AWS and cloud-native services (RDS, ECS, EKS, S3, and similar)
• Excellent automated testing practices — unit, integration, and end-to-end — within Agile, DevSecOps, and CI/CD workflows
• Proven technical leadership — mentoring engineers, driving technical vision, and delivering complex, cross-team projects, with a feel for DORA metrics and unblocking teams
• A preference for clean, modular architecture over monolithic shortcuts, and the judgment to balance reliability and compliance against feature velocity
• English — advanced proficiency, written and spoken

Preferred Qualifications

• Domain expertise — fraud/risk scoring models and ML feature pipelines, double-entry ledgers and reconciliation, chargeback and dispute frameworks with card-network rules, or APP-scam prevention
• Data-intensive and streaming systems — Kafka, exactly-once processing, or event sourcing
• Experience in the payments or fintech industry, operating at global scale
• Performance optimization and efficient algorithms for high-throughput, low-latency systems
• Static analysis and code-quality tooling (e.g., SonarQube) and mature CI/CD pipelines

Nice to Have

• A track record of introducing new engineering practices or standards across multiple teams
• Open-source contributions or technical writing that raised the bar for others
• Spanish proficiency

Tech Stack

• Languages — Go and Kotlin (core), Java
• APIs — gRPC, REST
• Frameworks — Spring Boot, Spring WebFlux; Go standard library
• Messaging — Apache Kafka, SQS
• Databases — PostgreSQL, Redis
• Infrastructure — AWS, Kubernetes, Docker, Terraform
• Observability — Datadog, OpenTelemetry
• CI/CD — GitHub Actions, ArgoCD
• Version Control — Git / GitHub

What We Offer at Yuno

• Competitive Compensation
• Remote Work — you can work from everywhere
• Home Office Bonus — a one-time allowance to set up your ideal home office
• Work Equipment
• Stock Options
• Health Plan wherever you are
• Flexible Days Off
• Language, Professional, and Personal Growth courses

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed or wish to exercise your data protection rights, please contact us at hiring@y.uno.