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Internship Cloud Native Developer Jobs in Ohio (NOW HIRING)

Java Developer

Columbus, OH · On-site

$49.25 - $63.75/hr

Java Developer Location: Plano, TX/Columbus, OH/New York, NY/Wilmington, DE/Pittsburgh, PA/Mountain ... Experience developing cloud-native applications with RESTful microservices. * Hands-on experience ...

The ideal candidate will have deep expertise in data architecture, cloud-native database solutions ... Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline and ...

The ideal candidate will have deep expertise in data architecture, cloud-native database solutions ... Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline and ...

The ideal candidate will have deep expertise in data architecture, cloud-native database solutions ... Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline and ...

Senior Cloud Engineer

Painesville, OH · On-site

$48.50 - $65/hr

Build and maintain automation with PowerShell, Microsoft Graph, and Azure DevOps / GitHub Actions ... Experience operating a cloud-native (cloud-only) Microsoft 365 and Azure environment. * Advanced ...

Showing results 41-60

Internship Cloud Native Developer information

What is an internship cloud native developer?

An Internship Cloud Native Developer is a student or recent graduate who works temporarily with a team to design, build, and maintain applications that are optimized for cloud environments. They typically use modern technologies like containers (Docker), orchestration tools (Kubernetes), and cloud platforms (AWS, Azure, or Google Cloud). The internship provides hands-on experience with cloud-native architectures, microservices, and DevOps practices, helping interns develop practical skills for a career in cloud computing.

What are the key skills and qualifications needed to thrive as an internship cloud native developer?

To thrive as an Internship Cloud Native Developer, you need a foundation in software development, knowledge of cloud platforms (such as AWS, Azure, or GCP), and familiarity with containerization concepts, often demonstrated through coursework or personal projects. Experience with tools like Docker, Kubernetes, and version control systems like Git is highly beneficial, and completion of relevant cloud certifications can be an advantage. Strong problem-solving abilities, eagerness to learn, and effective communication help you adapt to new technologies and collaborate with team members. These skills are crucial for building scalable, cloud-based applications and contributing effectively in fast-evolving technical environments.

What types of projects and technologies do internship cloud native developers typically work on during their internship?

As a Cloud Native Developer intern, you can expect to work on projects that involve designing, deploying, and managing applications using technologies like Kubernetes, Docker, and cloud platforms such as AWS, Azure, or Google Cloud. Typical daily tasks may include writing microservices, automating deployment pipelines, and collaborating with DevOps and development teams to ensure cloud-native best practices. Interns often participate in agile sprints, code reviews, and may be assigned to real-world projects that contribute directly to the company’s cloud infrastructure. This hands-on experience is designed to build your skills in modern cloud development environments and prepare you for a full-time role.

What is the difference between Internship Cloud Native Developer vs Cloud Native Developer?

AspectInternship Cloud Native DeveloperCloud Native Developer
QualificationsEnrolled in or recent graduate of relevant degree programs, basic knowledge of cloud platformsProfessional experience, certifications like AWS, Azure, or Kubernetes
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time, collaborative teams, production environments
Employer & Industry UsageTech companies, startups, training programsTech firms, cloud service providers, enterprise IT

The main difference is that an Internship Cloud Native Developer is an entry-level position aimed at learning and gaining experience, while a Cloud Native Developer is a full-time professional responsible for designing and maintaining cloud-based applications. Interns typically have less experience and work under supervision, whereas full-time developers handle complex projects independently.

What cities in Ohio are hiring for Internship Cloud Native Developer jobs?

Cities in Ohio with the most Internship Cloud Native Developer job openings:

Senior Java Developer AI-Enabled

V-Work Infotech Solutions INC

Dayton, OH • On-site

$55.75 - $71/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Role Overview

We are seeking a Senior Java Developer (AI-Enabled) with 10+ years of experience in enterprise Java development, distributed systems, microservices, and cloud-native applications. The ideal candidate will combine strong Java engineering expertise with hands-on experience integrating Generative AI, LLMs, RAG, and AI-enabled capabilities into enterprise applications.

Key Responsibilities
  • Design, develop, and maintain scalable Java/Spring Boot microservices and RESTful APIs.
  • Build high-performance, distributed, cloud-native applications using Java 11/17/21.
  • Develop and integrate AI/GenAI capabilities into existing enterprise applications.
  • Work with LLMs, prompt engineering, RAG, embeddings, vector databases, and AI APIs.
  • Design AI-powered services using frameworks such as LangChain4j, Spring AI, or equivalent Java AI frameworks.
  • Integrate LLM providers such as Azure OpenAI, OpenAI, AWS Bedrock, or Google Vertex AI.
  • Build secure APIs and services for AI-powered applications.
  • Develop event-driven architectures using Kafka, RabbitMQ, or similar messaging platforms.
  • Work with relational and NoSQL databases including PostgreSQL, Oracle, MongoDB, DynamoDB, or Redis.
  • Implement automated unit, integration, and API testing.
  • Participate in architecture discussions, technical design, code reviews, and performance optimization.
  • Deploy and operate applications in AWS/Azure/Google Cloud Platform environments.
  • Implement CI/CD pipelines using Jenkins, GitHub Actions, GitLab, or Azure DevOps.
  • Collaborate with product managers, architects, data engineers, DevOps engineers, and AI/ML teams.
Required Technical Skills
  • 10+ years of software development experience.
  • Strong expertise in Java, J2EE, Spring, Spring Boot, Spring Cloud.
  • Strong experience with REST APIs, microservices, distributed systems, and API integration.
  • Java 11/17/21 experience.
  • Strong knowledge of multithreading, concurrency, JVM, design patterns, and performance tuning.
  • Experience with SQL and relational databases.
  • Experience with Kafka/event-driven architecture.
  • Hands-on cloud experience with AWS, Azure, or Google Cloud Platform.
  • Strong Git and CI/CD experience.
AI / GenAI Requirements
  • Hands-on experience integrating Generative AI/LLM capabilities into applications.
  • Experience with RAG (Retrieval-Augmented Generation) architectures.
  • Knowledge of embeddings, vector search, semantic search, and vector databases.
  • Experience with LangChain4j, Spring AI, or similar frameworks.
  • Experience working with Azure OpenAI, OpenAI, AWS Bedrock, or Vertex AI.
  • Understanding of prompt engineering, function/tool calling, AI agents, and structured LLM outputs.
  • Knowledge of AI application security, including prompt injection, data privacy, access control, and responsible AI practices.
Preferred Skills
  • Python exposure for AI/ML integration.
  • Experience with Pinecone, OpenSearch, pgvector, Weaviate, Qdrant, or Redis Vector Search.
  • Docker and Kubernetes.
  • Terraform or other Infrastructure as Code tools.
  • Observability using Splunk, ELK, Prometheus, Grafana, or OpenTelemetry.
  • Experience modernizing legacy Java applications into cloud-native microservices.
  • Experience working in Agile/Scrum environments.