Own end-to-end data quality, observability, and performance: freshness checks, schema validation, monitoring/alerting, and clear SLAs
Establish data accessibility standards via REST APIs and MCP Server interfaces for AI/LLM consumption
Develop backend services using Java (Spring Boot) and Python to support analytical and AI-powered features
Collaborate with Data Scientist on vectorization strategies and data preparation for LLM-based summarization and semantic search
Leverage enterprise-authorized AI tools (Copilot, Claude Code) to accelerate development while maintaining code quality and security standards
Create documentation, runbooks, and support processes; participate in production deployments and incident triage
Required qualifications, capabilities, and skills
5+ years software engineering experience with demonstrated expertise in data architecture and backend development
Strong data modeling and database design skills - complex schemas, query optimization, performance tuning
Proficiency in Java and Python - production-grade development in both languages
Hands-on Snowflake experience - SQL, data warehousing patterns, cost/performance optimization
Oracle or PostgreSQL expertise - indexing strategies, stored procedures, query plan analysis
Experience building production data pipelines with data quality frameworks and monitoring
REST API design and development experience
Spring Boot or similar Java backend framework
Solid understanding of Software Development Life Cycle and agile methodologies
Strong problem-solving and communication skills with both technical and business stakeholders
Advanced English skills
Preferred qualifications, capabilities, and skills
Elasticsearch or OpenSearch - indexing strategies, query DSL, vector search capabilities
Experience with AI/ML data preparation, vectorization, or LLM integration
Familiarity with ITSM/ServiceNow datasets
Experience building MCP servers or similar integrations connecting AI applications to data sources
Python data libraries (pandas, numpy)
Hibernate Search or ORM-based search frameworks
CI/CD tools (Jenkins, GitHub Actions)
Angular or modern frontend frameworks
