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Wise Payments Limited Magyarországi Fióktelepe

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Senior Engineering Lead - Identities and Attributes

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Description

  • Architectural ownership of core Identity and Attribute domains and related APIs
  • Operating as primary technical interface between Product squads, Risk/FinCrime, and Verification providers
  • Hiring, mentoring, and leading a multi-level engineering team
  • Owning schemas and data contracts for people, businesses, roles and attributes
  • Driving data quality, lineage, and auditability
  • Leading design and evolution of core Identity and Attributes domains
  • Defining robust API contracts and data schemas
  • Managing attribute acquisition and lifecycle
  • Powering new onboarding and product experiences
  • Establishing and enforcing technical standards for Data Lineage, Data Quality, and Auditability
  • Managing recruitment strategy to grow the team
  • Defining clear roles and efficient processes
  • Serving as key technical partner to Product, FinCrime, and other Engineering Leads
  • Championing architectural vision for the platform
  • Ensuring platform is built for high availability, low latency, and massive scale
  • Managing operational health (SLAs/SLOs) of a critical, real-time risk service
  • Strong hands-on technical experience in OOP languages (Java)
  • Experience with REST APIs, microservices, distributed systems and CI/CD pipelines
  • Proven experience in leading and mentoring software engineers
  • Strong product and customer mindset
  • Experience building customer facing products
  • Experience working with and building distributed, high scalability systems and microservices architectures
  • Great communication skills for technical and non-technical audiences
  • Experience working effectively with cross-functional peers like designers, product managers, analysts and data scientists
  • Expertise in schema design, indexing strategies, and query optimization for ACID-compliant transactional data
  • Experience with partitioning and read-replicas for scaling
  • Experience handling unstructured data at scale
  • Experience implementing sharding and optimizing aggregation pipelines
  • Experience leveraging Redis or Valkey for high-performance distributed caching

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