Teams at Zartis

Design and implement secure, maintainable Java and Vue software solutions for financial services. Lead component development, architecture decisions, integrations, automated testing, documentation, and technical initiatives. Collaborate with business users, vendors, testers, and distributed stakeholders while mentoring junior engineers and contributing to development standards.

Leads discovery and data modeling for a canonical data platform, defining entities, relationships, semantics, measures, mappings, lineage, and architectural decisions. Analyzes complex legacy datasets, identifies quality issues and gaps, collaborates with business stakeholders and data engineers, and translates models into implementable delivery plans. The role owns the canonical model through early delivery and requires strong SQL, stakeholder engagement, documentation, and cloud data platform experience.

Design, develop, and operate scalable backend applications using Node.js, TypeScript, and AWS. Integrate Generative AI and LLM capabilities into production systems using Amazon Bedrock, RAG, tool calling, context management, prompting, and knowledge indexing. Build serverless and containerized architectures, contribute to technical decisions, and address production AI concerns including quality, latency, cost, security, traceability, observability, resilience, and maintainability.