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Intern Java Back End Developer Jobs in Lakeland, FL

... backend services written in one or more languages, e.g. Java, Scala, REST, etc. • Support development of user web applications written in the latest JavaScript technologies • Experiment with Big ...

Java Engineer

Tampa, FL · On-site

$86K - $120K/yr

... across front end, back end, APIs, data, and integrations. - Define reference architectures ... Cloud, DevOps, and Platform Design - Architect cloud-native solutions on AWS, Azure, or GCP ...

Java Engineer

Tampa, FL · On-site

$86K - $120K/yr

... across front end, back end, APIs, data, and integrations. - Define reference architectures ... Cloud, DevOps, and Platform Design - Architect cloud-native solutions on AWS, Azure, or GCP ...

Software Engineer

Tampa, FL · On-site

$110K - $125K/yr

Create and write middle- and back-end code in an organized and effective manner. * Implement ... Experience developing Java Web Services with public API (e.g. REST, SOAP) * Proficient in object ...

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Intern Java Back End Developer information

See Lakeland, FL salary details

$10

$21

$36

How much do intern java back end developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for intern java back end developer in Lakeland, FL is $21.34, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $22.64 per hour, depending on experience, location, and employer.

What is the difference between Intern Java Back End Developer vs Intern Front End Developer?

AspectIntern Java Back End DeveloperIntern Front End Developer
Required SkillsJava, Spring, SQL, REST APIsHTML, CSS, JavaScript, React or Angular
Work EnvironmentServer-side development, database integrationClient-side interface, UI/UX design
Common Industry UsageBackend systems, enterprise applicationsWebsites, mobile app interfaces

Intern Java Back End Developers focus on server-side logic, database management, and API development, while Intern Front End Developers work on the visual and interactive aspects of websites and applications. Both roles often require programming skills and are used in web development environments, but they specialize in different parts of the software stack.

What are the key skills and qualifications needed to thrive as an Intern Java Back End Developer, and why are they important?

To thrive as an Intern Java Back End Developer, you need a solid understanding of Java, object-oriented programming, and database fundamentals, often backed by coursework in computer science or related fields. Familiarity with development tools such as Git, IDEs like IntelliJ or Eclipse, and frameworks like Spring Boot is commonly expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help you collaborate with team members and adapt quickly. These skills and qualities are crucial for building reliable server-side applications and integrating effectively into a professional development environment.

What types of projects and responsibilities can an Intern Java Back End Developer expect during their internship?

As an Intern Java Back End Developer, you can typically expect to work on tasks such as writing and testing server-side code, assisting with database integration, and supporting the development of RESTful APIs. You'll likely collaborate closely with senior developers and other interns during code reviews, debugging sessions, and team meetings. Interns may also be assigned to real-world projects where they can contribute to feature enhancements or bug fixes under supervision, providing valuable hands-on experience in a collaborative, agile environment.

What does an Intern Java Back End Developer do?

An Intern Java Back End Developer assists in designing, developing, and maintaining the server-side logic of web applications using the Java programming language. They typically work under the guidance of senior developers to write clean, efficient code, troubleshoot bugs, and learn about frameworks like Spring Boot or Hibernate. Interns may also participate in code reviews, testing, and collaborating with front-end developers to integrate user-facing elements with server-side logic. This role helps interns gain hands-on experience in building scalable and secure back-end systems.
What cities near Lakeland, FL are hiring for Intern Java Back End Developer jobs? Cities near Lakeland, FL with the most Intern Java Back End Developer job openings:
Software Engineering Intern (AI, BI, DevOps)

Software Engineering Intern (AI, BI, DevOps)

Tampa Brass & Aluminum Corp

Tampa, FL • On-site

$15 - $16/hr

Internship

This job post has expired today. Applications are no longer accepted.


Job description

Employment Type: Paid Internship

Duration: 6-month internship with the possibility to extend based on performance and project needs
Eligibility: U.S. Citizen or Green Card Holder

Overview
We are seeking a motivated Software Engineering Intern to join our technical team and gain hands-on experience across several cutting-edge domains including Business Intelligence (BI), Computer Vision, Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and DevOps.

This internship is ideal for students or early-career technologists who enjoy solving complex problems, experimenting with emerging technologies, and contributing to meaningful, real-world projects. You will work alongside senior engineers on initiatives that support analytics, automation, and AI-driven solutions across our organization.

Key Responsibilities
Computer Vision & AI Projects
· Collaborate on building, training, and testing machine learning or computer vision models.
· Support data preprocessing, image labeling, and model evaluation.
· Assist in developing RAG pipelines, integrating vector databases, and fine-tuning LLMs for internal knowledge systems.
· Use Open WebUI and related frameworks to build and test conversational or AI assistant interfaces.

Automation & Workflow Engineering
· Leverage n8n for building and orchestrating workflow automations between internal systems and APIs.
· Integrate automation into business processes, dashboards, and AI/LLM pipelines.
· Document and version automation workflows for reuse and maintainability.

Data & BI Dashboards
· Assist in designing and developing dashboards using tools such as Power BI, Metabase, or Grafana.
· Work with data engineers to visualize KPIs, operational metrics, and predictive insights.
· Automate data pipelines and ETL processes using SQL, scripting, or n8n automation workflows.

DevOps & Infrastructure
· Learn to deploy and monitor applications using Docker, Kubernetes, and CI/CD pipelines.
· Gain exposure to GitOps tools such as Gitea, Argo CD, and Harbor for container registry and continuous deployment.
· Assist in setting up and maintaining on-premise and cloud environments (AWS, Azure).
· Participate in system automation, observability, and logging/monitoring initiatives.

Collaboration & Documentation
· Work closely with engineers, data scientists, and leadership to deliver prototypes, reports, and production-ready modules.
· Help document APIs, workflows, and system architecture for technical reference.

Desired Skills & Traits
· Strong foundation in one or more programming languages (Python, JavaScript/TypeScript, Java, or C#).
· Solid understanding of SQL and relational databases (MySQL, PostgreSQL, etc.).
· Familiarity with data visualization tools (Power BI, Metabase, Grafana).
· Basic understanding of machine learning frameworks (PyTorch, TensorFlow, or OpenCV a plus).
· Understanding of RAG, vector databases, and LLM integration workflows.
· Experience or interest in automation tools such as n8n.
· Basic knowledge of networking concepts, including DNS, firewalls, and network routing.
· Experience or curiosity about cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).
· Comfortable using Linux and command-line tools.
· Strong analytical mindset, attention to detail, and eagerness to learn.
· Effective communication and documentation skills.

Learning Outcomes & Goals (First 90–180 Days)
· Build and deploy a computer vision or AI prototype, incorporating LLM and RAG components.
· Develop and deploy APIs for system integrations and AI workflows.
· Design and implement one or more BI dashboards visualizing real operational data.
· Create and automate workflows using n8n to connect data sources, dashboards, and AI services.
· Gain experience with DevOps workflows using Gitea, Argo CD, Harbor, Helm, and Kubernetes.
· Deploy and manage AI interfaces using Open WebUI, integrating internal models and data.
· Present completed projects and findings to the engineering and leadership teams.

Job Type: Internship

Pay: $15.00 - $16.00 per hour

Work Location: In person