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Java Elasticsearch Jobs in Santa Clara, CA (NOW HIRING)

Amazon

Sr. SDE, Amazon OpenSearch Service

Santa Clara, CA · On-site

$143K - $189K/yr

Customers today run workloads across legacy OpenSearch and Elasticsearch deployments as well as ... You will work with technologies including Rust, Java, Python, Go, and AWS services while building ...

Amazon

Sr. SDE, Amazon OpenSearch Service

Santa Clara, CA · On-site

$143K - $189K/yr

Customers today run workloads across legacy OpenSearch and Elasticsearch deployments as well as ... You will work with technologies including Rust, Java, Python, Go, and AWS services while building ...

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All JobsJava Elasticsearch JobsJava Elasticsearch Jobs in Santa Clara, CA

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How much do java elasticsearch jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for java elasticsearch in Santa Clara, CA is $66.59, according to ZipRecruiter salary data. Most workers in this role earn between $57.60 and $74.52 per hour, depending on experience, location, and employer.

What is a Java Elasticsearch developer?

Java Elasticsearch developers are software engineers who specialize in integrating and utilizing Elasticsearch, a powerful search and analytics engine, within Java-based applications. They design, implement, and optimize search functionalities, ensuring efficient data indexing, querying, and retrieval. Their responsibilities often include configuring Elasticsearch clusters, developing RESTful APIs, and troubleshooting performance issues to provide scalable search solutions.

What are some common challenges Java developers face when integrating Elasticsearch into applications?

Java developers often encounter challenges such as handling complex query structures, optimizing search performance, and ensuring data consistency between the application and Elasticsearch clusters. Additionally, understanding Elasticsearch's distributed architecture and tuning it for scalability can require a learning curve. Collaborating closely with DevOps and data engineering teams is essential to monitor cluster health and manage index mappings effectively.

What are the key skills and qualifications needed to thrive as a Java Elasticsearch developer, and why are they important?

To thrive as a Java Elasticsearch Developer, you need strong Java programming skills, experience with Elasticsearch, and a background in software engineering or computer science. Familiarity with tools like Kibana, Logstash, RESTful APIs, and relevant certifications such as Elasticsearch Engineer can enhance your technical proficiency. Problem-solving skills, attention to detail, and effective communication are crucial soft skills for managing complex data requirements and collaborating with teams. These skills ensure the development of efficient, scalable search solutions that meet business and user needs.

What is the difference between Java Elasticsearch vs Java Developer?

AspectJava ElasticsearchJava Developer
Primary FocusImplementing search and analytics solutions using Elasticsearch with JavaDeveloping Java applications across various domains
Required SkillsJava, Elasticsearch, REST APIs, data modelingJava, object-oriented programming, frameworks like Spring
Work EnvironmentData-driven projects, search engine optimization, big dataSoftware development, application design, system integration
CertificationsElasticsearch certifications, Java certificationsJava certifications (Oracle Certified Java Programmer)

Java Elasticsearch specialists focus on integrating Elasticsearch with Java to build search and analytics solutions, while Java Developers have a broader role in developing various Java applications. Both roles require Java skills, but Elasticsearch roles emphasize search engine knowledge and data handling, making them more specialized within the Java ecosystem.

What are popular job titles related to Java Elasticsearch jobs in Santa Clara, CA?

For Java Elasticsearch jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Java Elasticsearch jobs in Santa Clara, CA look for?

The top searched job categories for Java Elasticsearch jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Java Elasticsearch jobs?

Cities near Santa Clara, CA with the most Java Elasticsearch job openings:

Java Elasticsearch jobs near you
Infographic showing various Java Elasticsearch job openings in Santa Clara, CA as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $138,503 per year, or $66.6 per hour.

Senior AI Search & Agentic Systems Engineer

Ruri Software Technologies LLC

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 17 days ago

Key responsibilities

  • Design, develop, and maintain backend services, search solutions, and RAG pipelines to support intelligent search and automation systems.

  • Build and enhance front-end applications with React.js and optimize search functionalities using Elasticsearch and Azure AI Search.

  • Design and deploy Claude-based agents and Skills to automate workflows and orchestrate multi-step tasks.

Job description

Job Description: Senior AI Search & Agentic Systems Engineer
Onsite - Santa Clara, CA
Job Description:
We are looking for a Senior Software Engineer to design and build intelligent search and agentic automation systems that combine traditional full-stack engineering with modern AI capabilities. You'll work across the stack - from backend services and data pipelines to AI-driven retrieval and agent orchestration - to deliver high-impact, production-grade solutions.
Key Responsibilities
• Design, develop, and maintain backend services using Java (Spring Boot) and Python, ensuring scalability, reliability, and performance.
• Build and enhance React.js front-end applications with clean, responsive, and intuitive user interfaces.
• Architect and optimize search solutions using Elasticsearch and Azure AI Search, including index design, query performance tuning, and relevance optimization.
• Implement Retrieval-Augmented Generation (RAG) pipelines to power intelligent search and Q&A experiences, integrating vector search with LLM-based generation.
• Design and deploy Claude-based agents and Claude Skills to automate workflows, orchestrate multi-step tasks, and integrate with internal/external systems.
• Develop and manage data models and queries using PostgreSQL, ensuring efficient schema design and query performance.
• Collaborate with cross-functional teams (product, data, DevOps) to translate business requirements into technical solutions.
• Ensure best practices in code quality, testing, security, and CI/CD across all systems.
• Monitor, troubleshoot, and optimize system performance in production environments.
Required Skills & Experience
• Strong proficiency in Python and Java (Spring Boot or equivalent frameworks).
• Hands-on experience with React.js for front-end development.
• Deep expertise in Elasticsearch - index design, aggregations, query DSL, performance tuning.
• Experience with Azure AI Search (formerly Cognitive Search) - semantic search, vector indexing, hybrid search.
• Practical experience building RAG (Retrieval-Augmented Generation) systems, including embedding generation, vector stores, and LLM integration.
• Experience building or integrating Claude agents and Claude Skills (or similar LLM agent frameworks) for task automation.
• Solid experience with PostgreSQL - schema design, optimization, and query writing.
• Understanding of API design (REST/GraphQL) and microservices architecture.
• Familiarity with cloud platforms (Azure preferred; AWS/GCP a plus).
• Strong proficiency in Python and Java (Spring Boot or equivalent frameworks).
• Hands-on experience with React.js for front-end development.
• Deep expertise in Elasticsearch - index design, aggregations, query DSL, performance tuning.
• Experience with Azure AI Search (formerly Cognitive Search) - semantic search, vector indexing, hybrid search.
• Practical experience building RAG (Retrieval-Augmented Generation) systems, including embedding generation, vector stores, and LLM integration.
• Experience building or integrating Claude agents and Claude Skills (or similar LLM agent frameworks) for task automation.
• Solid experience with PostgreSQL - schema design, optimization, and query writing.
Nice to Have
• Experience with Kubernetes and containerized deployments.
• Exposure to enterprise data pipelines (Databricks, Hadoop, or similar).
• Prior experience integrating LLM-based tools into enterprise workflows (LMS, CRM, ERP systems).
Soft Skills
• Strong problem-solving and analytical thinking.
• Ability to work independently and collaboratively in a fast-paced environment.
• Excellent communication skills to work across engineering, product, and business teams.
Years of Experience: 10-15 Years of Experience
Regards
Surya
Surya@rurisoft.com

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