Lead Java Engineer_ Vice President _Software Engineering

eightfold

Mumbai 12 Years Exp Posted 43d ago

Design, develop, and maintain core components of a high-performance application built around knowledge graph architecture.
Implement and optimize scalable backend solutions integrating with Graph database.
Develop and support APIs (both REST and GraphQL) to expose and manage application functionality efficiently.
Collaborate with cross-functional teams to ensure seamless data flow and performance through intelligent caching strategies.
Analyze, debug, and enhance existing components using modern Java practices, ensuring maintainability and reliability.

What you’ll bring to the role:

12–18 years of hands-on experience in Java development with strong expertise in Core Java, Multithreading, and Object-Oriented Design.
Proficiency with Spring Framework, Spring Boot, and deep understanding of Spring Annotations and Java-based configurations.
Experience with Java 15 or later (Java 17 preferred).
Strong experience in designing and developing RESTful APIs; good working knowledge of GraphQL.
Deep understanding of distributed caching mechanisms, including Hazelcast, Caffeine, InCache, or Google Guava Cache.
Experience integrating with Graph Databases (preferably Stardog); additional knowledge of Apache Jena and SAPRQL is a strong plus.
Understanding of application security, authentication, and authorization best practices.
Experience with ZooKeeper for coordination and distributed systems management.
Strong understanding of system design principles, including scalability, fault tolerance, distributed systems, and performance optimization.
At least 6 years' relevant experience would generally be expected to find the skills required for this role.

Good to Have:

Experience or familiarity with Reactive Programming, especially using Spring WebFlux.
Hands-on knowledge of HTTP clients like OkHttp, WebClient, or similar.
Experience with or exposure to other graph databases or triple stores (e.g., Neo4j, Virtuoso, Blazegraph, RDF4J).
Working knowledge of Redis for caching or data storage.
Understanding of search and indexing systems similar to ElasticSearch used for building scalable and efficient search features.
Experience with analytical or relational databases, particularly in the context of data access and API integration.
Exposure to observability and monitoring tools such as Prometheus, Grafana, Loki, Kibana or Splunk.