Senior Java Engineer - Search Platform
About The Position
We are looking for Senior Software Engineers to lead the design and evolution of a state-of-the-art Search Platform that combines traditional information retrieval with modern AI and LLM-driven capabilities. The systems we build span web-scale indexing, hybrid retrieval (keyword + vector), and advanced ranking systems, delivering low-latency results across massive and heterogeneous datasets. You will play a key role in shaping the technical vision for search, driving innovations in relevance, performance, and scalability. This role requires deep technical expertise, strong system design skills, and the ability to influence architecture and execution across teams. You will partner closely with engineering, product, and data science to deliver impactful improvements to search quality and platform capabilities.
Requirements
- Bachelor’s or Master’s degree in Computer Science or related field
- 8+ years of experience in backend or distributed systems development
- 5+ years of hands-on experience with large-scale data processing or streaming systems
- Deep expertise in Java (Java 11/17+) and JVM ecosystem
- Expert-level knowledge of Spring Framework (Boot, MVC, Security, Retry)
- Strong understanding of concurrency, multi-threading, and performance optimization
- Proven experience designing scalable, fault-tolerant distributed systems
- Strong experience with search technologies (Solr / Elasticsearch / OpenSearch / Lucene)
- Deep understanding of indexing strategies, query execution, and relevance tuning
- Experience with hybrid retrieval (keyword + vector + semantic/LLM reranking)
- Hands-on experience with Learning to Rank (LTR), query understanding, and personalization
- Extensive experience with Apache Beam, Spark, or Storm
- Strong understanding of event-driven architectures and streaming pipelines
- Knowledge of processing semantics (exactly-once, at-least-once), windowing, and state management
- Strong expertise in NoSQL systems (preferably Cassandra)
- Experience with multi-tenant architectures and high-throughput systems
- Understanding of consistency models and distributed data design
- Familiarity with document stores and schema design
- Production experience with Kafka or similar systems
- Understanding of event sourcing, CQRS, and backpressure handling
- Experience with OAuth and service-to-service authentication
- Knowledge of encryption (in transit and at rest) and KMS
- Familiarity with Kubernetes and containerized environments
- Experience with CI/CD pipelines (Jenkins, Maven)
- Strong experience with unit, integration, and distributed system testing
- Familiarity with JUnit, Mockito, and embedded test frameworks
- Understanding of testing strategies for distributed systems
- Drives technical vision and architectural decision-making
- Balances immediate delivery with long-term platform evolution
- Demonstrates strong ownership and accountability
- Mentors and uplifts team through technical leadership
- Collaborates effectively across engineering, product, and data science
- Operates with a startup mindset—speed with scalability
- Passion for solving complex search and relevance challenges at scale
Responsibilities
- Architect and build highly scalable, low-latency distributed search systems
- Design and optimize large-scale indexing pipelines and retrieval systems
- Drive hybrid search architecture (BM25 + vector search + LLM-based reranking)
- Lead design and development of backend services and REST APIs using Java and Spring
- Build real-time and batch data pipelines using streaming frameworks
- Design event-driven architectures leveraging message brokers such as Kafka
- Improve search relevance and ranking quality using ML/NLP and LTR techniques
- Identify and resolve performance bottlenecks across indexing and query layers
- Define search quality metrics, evaluation frameworks, and experimentation strategies
- Ensure system reliability, scalability, and fault tolerance using distributed system best practices
- Own end-to-end lifecycle of microservices (design, development, deployment, operations)
- Implement security best practices (authentication, authorization, data protection)
- Lead technical design discussions and influence architectural decisions
- Mentor engineers through code reviews, design guidance, and best practices
- Collaborate cross-functionally with Product, Data Science, and AI teams
Benefits
- Constant learning
- skill growth
- great benefits
- team that wants you to grow and succeed
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What This Job Offers
Job Type
Full-time
Career Level
Senior
