Description

You will architect and build mission-critical backend services and data platforms for cybersecurity intelligence solutions. This role combines deep Java engineering with advanced data modeling and AI integration.

Responsibilities

• Design and develop high-performance backend services using Java 11+/17 and Spring Boot, exposing secure RESTful APIs.
• Architect and optimize Oracle database schemas, indexes, and complex SQL queries, including stored procedures and PL/SQL.
• Implement graph database solutions (Neo4j, TigerGraph, or Neptune) to model relationship-heavy security data and visualize threat graphs.
• Integrate Large Language Models (LLMs) and Model Context Protocol (MCP) to enable safe, auditable querying of cybersecurity data sources.
• Profile JVM performance, tune connection pools, and optimize ETL/ELT pipelines to meet strict latency and throughput SLAs.

Required Skills

• 8+ years of software development experience, with 5+ years focused on Java backend engineering.
• Expert-level proficiency with Oracle Database, including schema design, query optimization, and PL/SQL.
• Hands-on experience with Graph databases (Neo4j, TigerGraph, JanusGraph, or Amazon Neptune) and query languages like Cypher or Gremlin.
• Strong command of Java 11+, Spring Boot, Spring Security, JPA/Hibernate, and JDBC.
• Proven track record in performance tuning for both SQL execution plans and JVM garbage collection/threading.
• Experience integrating LLMs with secure context management and auditability, specifically using MCP architectures.
• Proficiency with CI/CD pipelines, Git, Docker, and cloud platforms (AWS or Azure).

Preferred Skills

• Experience with data caching (Redis/Apache Ignite) and event-driven architectures (Kafka/RabbitMQ).

Key Skills

Education

Any Graduate