Senior Java Engineer - Search & Big Data

Wipro•Sunnyvale, CA

About The Position

Wipro is seeking an experienced Java Engineer with expertise in search technologies and big data. The role involves building scalable Java and Spring Boot backend applications, developing search solutions, and processing large volumes of structured, semi-structured, and unstructured data. The engineer will develop REST APIs and microservices, build data pipelines, and work with distributed systems, cloud infrastructure, and data-storage platforms. The role also includes gathering and documenting requirements, contributing to module-level solution designs under the guidance of the Project Manager, reviewing code, resolving team technical queries, and collaborating with project managers throughout the software development life cycle. The engineer will troubleshoot recurring issues, modify software to fix errors and improve performance, support integrations and deployments, and prepare user-training documentation to facilitate adoption. The expected compensation ranges from $80,000 to $160,000. Final compensation depends on factors including location, minimum-wage obligations, skills, and relevant experience. The role is eligible for Wipro's standard benefits, including medical and dental benefits options, disability insurance, paid time off (including sick leave), and other paid and unpaid leave options. Some roles may require successful completion of a post-offer drug screening, subject to applicable state law.

Requirements

5–8 years of experience.
Strong Core Java and Java 8+ skills.
Experience with Java Collections, multithreading, concurrency, and JVM fundamentals.
Strong experience with Spring Boot, Spring Framework, REST APIs, and microservices.
Knowledge of SQL and relational or NoSQL databases.
Hands-on experience with Elasticsearch, OpenSearch, Apache Solr, or similar search platforms.
Understanding of indexing, mappings, analyzers, tokenizers, and inverted indexes.
Experience with complex queries, aggregations, relevance scoring, and search tuning.
Knowledge of distributed search clusters, sharding, replication, and performance optimization.
Experience integrating search platforms with Java applications.
Experience with Apache Spark, Hadoop, Hive, or related technologies.
Knowledge of Apache Kafka or similar distributed messaging platforms.
Experience building ETL/ELT pipelines and processing large datasets.
Understanding of distributed computing, partitioning, and batch or stream processing.
Familiarity with JSON, Avro, and Parquet.
Exposure to AWS, Azure, or GCP.
Familiarity with Docker, Kubernetes, Git, Jenkins, or similar CI/CD tools.
Knowledge of monitoring, troubleshooting, and production deployments.
Mandatory skill: Enterprise Platform Engineering Java.

Nice To Haves

Experience building enterprise-scale search platforms.
Experience with real-time streaming and data-ingestion architectures.
Experience with performance profiling and distributed-system troubleshooting.
Knowledge of security, authentication, authorization, and data governance.
Strong problem-solving and communication skills.

Responsibilities

Design and develop scalable backend applications using Java and Spring Boot.
Build and optimize search solutions using Elasticsearch, OpenSearch, Apache Solr, or similar platforms.
Develop REST APIs and microservices for search and data-intensive applications.
Implement indexing, querying, relevance tuning, analyzers, tokenization, and search optimization.
Build large-scale data pipelines using Spark, Hadoop, Kafka, or related technologies.
Process structured, semi-structured, and unstructured datasets.
Optimize application performance, search latency, database queries, and data-processing workflows.
Work with distributed systems, cloud infrastructure, and data-storage platforms.
Follow engineering best practices, including testing, code reviews, CI/CD, monitoring, and production support.
Gather requirements for specific modules and create clear, structured documentation.
Capture linkages, dependencies, and required changes across multiple business processes.
Facilitate application solution designs for a specific module under the Project Manager's guidance, aligned with business requirements and technical standards.
Review developed code, resolve technical queries for the assigned module, and create consistent replication patterns in line with project standards.
Collaborate with project managers through all phases of the software development life cycle.
Perform root-cause analysis to identify and troubleshoot recurring technical issues.
Modify software code to resolve errors, adapt to new hardware and software, enhance performance, and upgrade interfaces.
Collaborate with technical teams to validate configurations, integrate new applications, and address dependencies during deployment.
Prepare user-training documents and related frameworks to support adoption and minimize transition risks.