Experience with object-oriented programming using languages such as Java, Python, or JavaScript ... Familiarity with OpenSearch or Elasticsearch. * Exposure to graph databases such as Neo4j or ...
Experience with object-oriented programming using languages such as Java, Python, or JavaScript ... Familiarity with OpenSearch or Elasticsearch. * Exposure to graph databases such as Neo4j or ...
Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot). * Experience with ... Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j)
Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot). * Experience with ... Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j)
Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j ... Java (Spring Boot). * 3+ years' Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL ...
Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j ... Java (Spring Boot). * 3+ years' Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL ...
Experience with OpenSearch, Elasticsearch, Neo4j, Memgraph, Maven, or Gradle * Experience with ... or Flask, or Java with Spring Boot * 1-3+ years of experience building and consuming ...
Experience with OpenSearch, Elasticsearch, Neo4j, Memgraph, Maven, or Gradle * Experience with ... or Flask, or Java with Spring Boot * 1-3+ years of experience building and consuming ...
Java Elasticsearch information
What is the difference between Java Elasticsearch vs Java Developer?
| Aspect | Java Elasticsearch | Java Developer |
|---|---|---|
| Primary Focus | Implementing search and analytics solutions using Elasticsearch with Java | Developing Java applications across various domains |
| Required Skills | Java, Elasticsearch, REST APIs, data modeling | Java, object-oriented programming, frameworks like Spring |
| Work Environment | Data-driven projects, search engine optimization, big data | Software development, application design, system integration |
| Certifications | Elasticsearch certifications, Java certifications | Java 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 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 Java Elasticsearch developers?
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 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 are popular job titles related to Java Elasticsearch jobs in Kentucky? For Java Elasticsearch jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Java Elasticsearch jobs in Kentucky look for? The top searched job categories for Java Elasticsearch jobs in Kentucky are:
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
58th of 138 rated financial services
Job description
Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.
You will be responsible for individually delivering high quality products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
Recruiting for this role ends on 7/31/2026.
Work you will do:
- Working closely with business, solution engineers, team members and leadership to understand business requirements and deliver high quality technical solutions
- Analyzing, implementing user requirements/business needs as new and/or enhanced product functionality
- Identifying key drivers of a problem and proposes technical solutions using analysis, experience, and decision making
- Developing solutions to client problems through application of methods and tools; validating solutions to SMEs
- Understanding the benefits of using state of the art methods and tools and their application on a particular engagement contributes to continuous development of methods and tools
- Demonstrating accountability and contributions to the successful realization of client goals
The Team:
Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.
Required Qualifications
We require 3-5 years of experience for all skill areas below:
- Hands-on experience in full stack software development across frontend and backend technologies.
- Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or Agentic AI solutions and architectures in enterprise applications on AWS, Azure, or GCP.
- Experience with object-oriented programming using languages such as Java, Python, or JavaScript/TypeScript.
- Experience with frontend development using Angular, React, or Next.js, and with JavaScript, TypeScript, HTML5, and CSS3 in production environments.
- Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java (Spring Boot).
- Experience building and consuming REST APIs and microservices.
- Experience with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle, and with at least one NoSQL database such as MongoDB, Redis, Cassandra, or DynamoDB.
- Experience using Git and development lifecycle tools such as Azure DevOps.
- Experience with unit testing frameworks such as JUnit, Mockito, or equivalent, and with automated testing and CI/CD pipeline implementation.
- Experience deploying applications, APIs, or analytics workloads to AWS, Azure, or GCP.
- Experience working in Agile/Scrum delivery environments.
- Cloud certification in AWS, Azure, or GCP
- Bachelor's degree in computer science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field.
- Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available
Preferred Qualifications
- Experience with Docker, container-based application development, and serverless architectures.
- Experience with secure development practices or cybersecurity-focused application development.
- Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
- Experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK.
- Experience contributing to project planning, estimation, or risk tracking.
- Experience mentoring junior or mid-level developers, leading code reviews, and providing development feedback.
- Experience partnering with product managers, designers, and business stakeholders to translate requirements into technical solutions.
- Strong written and verbal communication skills in cross-functional team environments.
- Cloud certification in AWS, Azure, or GCP.
- Familiarity with OpenSearch or Elasticsearch.
- Exposure to graph databases such as Neo4j or Memgraph.
- Familiarity with build tools such as Maven or Gradle.
- Experience with Bootstrap, jQuery, or JSP in legacy or mixed-technology environments.
- Familiarity with DevOps or DevSecOps practices.
- Knowledge of web security, GitOps, and Kubernetes customization.
- Basic understanding of AI/ML frameworks such as TensorFlow or PyTorch.
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 - 208,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#CyberDTP27
Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.
You will be responsible for individually delivering high quality products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
Recruiting for this role ends on 7/31/2026.
Work you will do:
- Working closely with business, solution engineers, team members and leadership to understand business requirements and deliver high quality technical solutions
- Analyzing, implementing user requirements/business needs as new and/or enhanced product functionality
- Identifying key drivers of a problem and proposes technical solutions using analysis, experience, and decision making
- Developing solutions to client problems through application of methods and tools; validating solutions to SMEs
- Understanding the benefits of using state of the art methods and tools and their application on a particular engagement contributes to continuous development of methods and tools
- Demonstrating accountability and contributions to the successful realization of client goals
The Team:
Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.
Required Qualifications
We require 3-5 years of experience for all skill areas below:
- Hands-on experience in full stack software development across frontend and backend technologies.
- Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or Agentic AI solutions and architectures in enterprise applications on AWS, Azure, or GCP.
- Experience with object-oriented programming using languages such as Java, Python, or JavaScript/TypeScript.
- Experience with frontend development using Angular, React, or Next.js, and with JavaScript, TypeScript, HTML5, and CSS3 in production environments.
- Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java (Spring Boot).
- Experience building and consuming REST APIs and microservices.
- Experience with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle, and with at least one NoSQL database such as MongoDB, Redis, Cassandra, or DynamoDB.
- Experience using Git and development lifecycle tools such as Azure DevOps.
- Experience with unit testing frameworks such as JUnit, Mockito, or equivalent, and with automated testing and CI/CD pipeline implementation.
- Experience deploying applications, APIs, or analytics workloads to AWS, Azure, or GCP.
- Experience working in Agile/Scrum delivery environments.
- Cloud certification in AWS, Azure, or GCP
- Bachelor's degree in computer science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field.
- Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available
Preferred Qualifications
- Experience with Docker, container-based application development, and serverless architectures.
- Experience with secure development practices or cybersecurity-focused application development.
- Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
- Experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK.
- Experience contributing to project planning, estimation, or risk tracking.
- Experience mentoring junior or mid-level developers, leading code reviews, and providing development feedback.
- Experience partnering with product managers, designers, and business stakeholders to translate requirements into technical solutions.
- Strong written and verbal communication skills in cross-functional team environments.
- Cloud certification in AWS, Azure, or GCP.
- Familiarity with OpenSearch or Elasticsearch.
- Exposure to graph databases such as Neo4j or Memgraph.
- Familiarity with build tools such as Maven or Gradle.
- Experience with Bootstrap, jQuery, or JSP in legacy or mixed-technology environments.
- Familiarity with DevOps or DevSecOps practices.
- Knowledge of web security, GitOps, and Kubernetes customization.
- Basic understanding of AI/ML frameworks such as TensorFlow or PyTorch.
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 - 208,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#CyberDTP27