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Elasticsearch Developer Jobs in Florida (NOW HIRING)

Kforce Technology Staffing

Developer III

Boca Raton, FL · On-site

$49.75 - $64/hr

Kforce has a client seeking a Developer III in Boca Raton, FL. Responsibilities: * Responsible for ... MySQL, Elasticsearch/Mongo DB * Web Services, Kafka, RabbitMQ, Azure Service Bus * JSON, Azure ...

The Josef Group

DevOps Engineer

Sarasota, FL

$50.75 - $69.75/hr

Prometheus, InfluxDB, Elasticsearch) Domain & Certifications * Experience supporting DoD or IC mission systems * Relevant certifications: AWS DevOps Engineer, CKA, CKAD

Qode

Java Developer with DevOps & Grafana Experience

Tampa, FL · On-site

$48.25 - $62.25/hr

Java Developer with DevOps & Grafana Experience Location: Hybrid) Experience: 8+ Years (preferred ... ELK Stack (Elasticsearch, Logstash, Kibana) * Splunk (Good to Have) Cloud Platforms * AWS / Azure ...

duPont Registry

DevOps Engineer

Miami, FL · On-site

$51 - $70/hr

We are seeking a highly skilled and versatile DevOps Engineer to join our growing team. This role ... Distributed tracing systems like Zipkin, ElasticSearch APM Bonus Points for Experience with

Full Stack Talent

Lead Application Developer

Tampa, FL · On-site +1

\n \n \n \n \n Full Stack Talent is hiring Lead Application Developers in the Tampa or St Pete areas ... Previous use of indexing tools like Solr\/Elasticsearch is a plus \n \n \n \n Benefits \n \n

duPont REGISTRY

DevOps Engineer

Miami, FL · On-site

$51 - $70/hr

We are seeking a highly skilled and versatile DevOps Engineer to join our growing team. This role ... Distributed tracing systems like Zipkin, ElasticSearch APM Bonus Points for Experience with

duPont Registry

DevOps Engineer

Miami, FL

$51 - $70/hr

We are seeking a highly skilled and versatile DevOps Engineer to join our growing team. This role ... Distributed tracing systems like Zipkin, ElasticSearch APM Bonus Points for Experience with

TQL

Senior Database Administrator

Tampa, FL · On-site +1

$111K - $139K/yr

... engineering* Deep expertise in SQL Server, MongoDB, Elasticsearch, and Azure SQL DB* Experience working in high-transaction, large-scale application environments* Strong proficiency in automation ...

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All JobsElasticsearch Developer JobsElasticsearch Developer Jobs in Florida

Elasticsearch Developer information

See Florida salary details

$14

$33

$75

How much do elasticsearch developer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for elasticsearch developer in Florida is $33.84, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $40.96 per hour, depending on experience, location, and employer.

What is the difference between Elasticsearch Developer vs Data Engineer?

AspectElasticsearch DeveloperData Engineer
Required CredentialsProficiency in Elasticsearch, JSON, REST APIsSQL, Python, ETL tools, cloud platforms
Work EnvironmentFocus on search, indexing, and data retrieval within applicationsBuild data pipelines, manage databases, and optimize data flow
Employer & Industry UsageTech companies, e-commerce, search enginesFinance, healthcare, tech firms, data-driven organizations

Elasticsearch Developers specialize in implementing and optimizing Elasticsearch for search and analytics, focusing on search engine functionalities. Data Engineers design and maintain data pipelines and infrastructure, often working with multiple tools and platforms. While both roles require data handling skills, Elasticsearch Developers focus on search solutions, whereas Data Engineers handle broader data architecture and processing tasks.

What are some common challenges Elasticsearch Developers face when optimizing large-scale search queries, and how can they address them?

Elasticsearch Developers often encounter challenges such as slow query performance and resource bottlenecks when dealing with large datasets. To address these issues, developers should focus on designing efficient index mappings, utilizing filters instead of queries where possible, and leveraging features like pagination and aggregations carefully. Monitoring cluster health and resource usage is also key, as is regularly updating and tuning the underlying infrastructure. Collaborating closely with DevOps and data engineering teams ensures optimal configurations and quick resolution of performance problems.

What are the key skills and qualifications needed to thrive as an Elasticsearch Developer, and why are they important?

To thrive as an Elasticsearch Developer, you need a strong background in software development, information retrieval, and experience with Elasticsearch and related technologies, typically supported by a degree in computer science or a related field. Proficiency with Elasticsearch APIs, Kibana, Logstash, and experience with scripting languages like Python or Java are commonly required, along with relevant certifications such as Elastic Certified Engineer. Analytical thinking, problem-solving ability, and effective communication help developers collaborate and address complex search and data challenges. These skills ensure efficient data indexing, retrieval, and analysis, driving scalable solutions in data-driven environments.

What does an Elasticsearch Developer do?

An Elasticsearch Developer specializes in designing, developing, and maintaining search and analytics solutions using Elasticsearch, an open-source search and analytics engine. They are responsible for creating efficient data indexing, building search queries, optimizing performance, and integrating Elasticsearch with other applications. Additionally, they troubleshoot issues, ensure data security, and help organizations make the most of their data through scalable search capabilities.
What are popular job titles related to Elasticsearch Developer jobs in Florida? For Elasticsearch Developer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Elasticsearch Developer jobs in Florida look for? The top searched job categories for Elasticsearch Developer jobs in Florida are:
Elasticsearch Developer jobs near you
Infographic showing various Elasticsearch Developer job openings in Florida as of July 2026, with employment types broken down into 82% Full Time, 7% Part Time, 2% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $70,395 per year, or $33.8 per hour.
Information Technology_USA - USA_Developer

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 15 days ago

Job description

Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
: /hr
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Shilpa Bajpai
Location: Tampa, FL-- 100% onsite position
Duration: 6 months
skill id: 10631330
Key Responsibilities:
• AI Development: Design and implement Generative AI applications using frameworks like LangChain, LlamaIndex, and LangGraph.
• Agentic Solutions: Build autonomous and semi-autonomous AI agents using AutoGen or CrewAI to solve complex business logic.
• Backend & APIs: Develop and maintain scalable REST APIs using FastAPI or Flask to serve AI models and services.
• Data Architecture: Manage and optimize data retrieval using Elasticsearch, NoSQL databases, and Graph databases like Neo4j.
• LLMOps & MLOps: Establish robust pipelines for model monitoring, evaluation, and deployment to ensure high performance and reliability.
• Full-Stack Integration: Collaborate with front-end teams to integrate AI features into React/Node.js environments.
Required Technical Skills:
• Languages: Expert-level Python (strong hands-on coding) and advanced SQL.
• Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.
• Databases: ElasticSearch, NoSQL, and Neo4j.
• AI/ML: Solid foundation in Machine Learning, Deep Learning, and LLM fine-tuning/prompt engineering.
• Backend: Proven experience with FastAPI or Flask for production APIs.
• Web: Familiarity with React and Node.js for full-stack AI integration.
Qualifications:
• Minimum 2+ years of experience as an AI Engineer or in a similar specialized Machine Learning role.
• Proven track record of deploying LLM-based applications to production.
• Strong understanding of vector embeddings, semantic search, and RAG architectures.
• Experience with Cloud environments (AWS/GCP/Azure) and CI/CD for ML (MLOps).
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Docker~Digital : Kubernetes
Experience Required: 6-8, Project Code :

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