Requirements

• Strong, hands-on technical experience in OOP languages, especially Java, and modern tech stacks including REST APIs, microservices, distributed systems, and CI/CD pipelines.
• Proven experience in leading and mentoring software engineers.
• Strong product and customer mindset with experience building customer-facing products.
• Experience working with and building distributed, high scalability systems and microservices architectures.
• Excellent communication skills to articulate complex technical concepts to both technical and non-technical audiences.
• Ability to thrive in a collaborative environment and work effectively with cross-functional teams including 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 databases.
• Experience handling unstructured data at scale, implementing sharding, and optimizing aggregation pipelines for high-speed reads/writes and flexible schema evolution.
• Knowledge of leveraging Redis or Valkey for high-performance distributed caching.

What You'll Be Doing

• Leading the design and evolution of core Identity and Attributes domains, including defining robust API contracts and data schemas.
• Making identity data risk-aware by design and managing attribute acquisition and lifecycle to support onboarding and product experiences.
• Establishing and enforcing technical standards for Data Lineage, Data Quality, and Auditability within the Identity Risk Platform to meet regulatory and compliance requirements.
• Scaling and mentoring a multi-level engineering team, driving recruitment strategy, defining roles and processes, and fostering a high-performance engineering culture.
• Serving as the key technical partner to Product, FinCrime, and other Engineering Leads, championing architectural vision to align technical decisions with business agility and security needs.
• Ensuring platform resilience by building for high availability, low latency, and massive scale, and managing operational health via SLAs and SLOs for a critical real-time risk service.