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Java Elasticsearch Jobs in Hampton, VA (NOW HIRING)

Application Developer, Senior

Norfolk, VA · On-site

$86.80 - $198/hr

Experience using Node.js with Typescript, SQL, PostgreSQL, Redis, and Elasticsearch * Experience ... Experience with JSON, Java, JavaScript, SharePoint, XML, VBA, Oracle, MongoDB, Solr, SQL, Open AI ...

Java Elasticsearch information

See Hampton, VA salary details

$15

$54

$74

How much do java elasticsearch jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for java elasticsearch in Hampton, VA is $54.79, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $61.35 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 Hampton, VA?

For Java Elasticsearch jobs in Hampton, VA, the most frequently searched job titles are:

What job categories do people searching Java Elasticsearch jobs in Hampton, VA look for?

The top searched job categories for Java Elasticsearch jobs in Hampton, VA are:

What cities near Hampton, VA are hiring for Java Elasticsearch jobs?

Cities near Hampton, VA with the most Java Elasticsearch job openings:

Infographic showing various Java Elasticsearch job openings in Hampton, VA as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 6% Part Time, and 12% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $113,973 per year, or $54.8 per hour.

Java Full Stack Developer with AI

SmartIT Frame

Virginia Beach, VA • On-site

$46.50 - $60/hr

Other

Posted 19 days ago


Key responsibilities

  • Design, develop, and maintain scalable full stack applications using Java, Spring Boot, REST APIs, and modern UI frameworks.

  • Build and enhance microservices-based solutions with a focus on performance, security, monitoring, and reliability.

  • Support application deployment, integration, troubleshooting, and performance optimization across target environments.


Job description

Role:  Java FSD with AI

Location: Mclean, VA  

Job Summary:

We are seeking a Senior Java Full Stack Developer with strong experience in building scalable enterprise applications using modern Java, microservices, cloud, and front-end technologies. The ideal candidate will have hands-on expertise across backend development, UI integration, cloud-native deployment, and DevOps practices. Experience with AI-driven solutions, LangChain, and LangGraph will be highly valuable for building next-generation intelligent applications and workflow orchestration solutions.

Key Responsibilities:

- Design, develop, and maintain scalable full stack applications using Java, Spring Boot, REST APIs, and modern UI frameworks.

- Build and enhance microservices-based solutions with strong focus on performance, security, monitoring, and reliability.

- Develop responsive and user-friendly front-end applications using Angular or ReactJS.

- Design and implement cloud-based solutions using AWS services.

- Collaborate with cross-functional teams to understand application architecture, build processes, and deployment requirements.

- Contribute to CI/CD pipelines and DevOps automation using industry-standard tools.

- Support application deployment, integration, troubleshooting, and performance optimization across target environments.

- Explore and implement AI-powered application capabilities using Python and modern orchestration frameworks such as LangChain and LangGraph.

Required Skills:

- 7+ years of experience in design and development of applications using Java 8+, J2EE, Spring, Spring Boot, RESTful Services, and UI frameworks.

- 2+ years of experience in designing and developing microservices using Spring Boot and REST APIs.

- Experience with AI application development and integrating intelligent workflows into enterprise systems.

- Hands-on experience with Python for backend scripting, automation, or AI/ML integrations.

- Experience  with LangChain for building LLM-powered application workflows.

- Experience  with LangGraph for orchestrating multi-step AI agents and stateful application flows.

- Strong hands-on experience with ORM frameworks such as JPA and Hibernate.

- Good knowledge and practical experience with Docker and Kubernetes.

- 2+ years of experience in at least one modern UI framework such as Angular or ReactJS.

- 1+ years of experience designing and implementing cloud-based solutions using AWS services such as EC2, IAM, S3, and Lambda.

- Strong knowledge of RDBMS, especially PostgreSQL.

- Experience with DevOps toolchain including Jenkins, Artifactory, Maven/Gradle, Git, and Bitbucket.

- Good understanding of key technical concepts including security, transactions, monitoring, and performance tuning.

Preferred Skills:

- Experience with OAuth implementation using Ping Identity.

- Familiarity with API Management tools such as Apigee and Service Mesh technologies like Istio.

- Experience with Elasticsearch, Logstash, and Kibana.

- Good knowledge of queue-based implementations and messaging systems.

- Experience with NoSQL databases such as MongoDB and APIs using GraphQL.

- Experience with scripting using Unix and Python.

Soft Skills:

- Strong communication and interpersonal skills.

- Self-starter with the ability to work independently.

- Fast learner with the ability to quickly adapt to new technologies and tools.

- Ability to contribute effectively to the success of assigned projects.

- Comfortable participating in technical discussions with project teams to understand architecture, build processes, and deployment activities.