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Java Programming Instructor Jobs in Charlotte, NC

PeopleNTech

AI Architect

Charlotte, NC · On-site

... engineering experience, with strong fundamentals in at least one enterprise stack (e.g., Java ... instructor, enablement, or forward-deployed engineering experience strongly preferred. GenAI / LLM ...

All JobsJava Programming Instructor JobsJava Programming Instructor Jobs in Charlotte, NC

Java Programming Instructor information

See Charlotte, NC salary details

$15

$55

$75

How much do java programming instructor jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for java programming instructor in Charlotte, NC is $55.38, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $61.97 per hour, depending on experience, location, and employer.

What does a Java programming instructor do?

A Java Programming Instructor teaches students the fundamentals and advanced concepts of the Java programming language. They design lesson plans, give lectures or hands-on demonstrations, and guide students through practical coding exercises. Instructors also assess student progress, provide feedback, and may help learners prepare for certification exams or job placements. Their goal is to ensure students can confidently use Java for software development projects.

What are some common challenges faced by Java programming instructors in keeping students engaged and motivated?

Java Programming Instructors often encounter the challenge of maintaining student engagement, especially when teaching complex topics such as object-oriented principles or multithreading. To address this, instructors typically incorporate interactive projects, real-world examples, and hands-on coding exercises into their lessons. Regular feedback, fostering a collaborative classroom environment, and adapting teaching methods to diverse learning styles are also crucial for keeping students motivated and ensuring their success.

What are the key skills and qualifications needed to thrive as a Java programming instructor, and why are they important?

To thrive as a Java Programming Instructor, you need deep proficiency in Java programming, a solid understanding of computer science concepts, and experience in teaching or curriculum development, often supported by a degree in computer science or a related field. Familiarity with development environments like Eclipse or IntelliJ IDEA, version control systems such as Git, and certification like Oracle Certified Professional Java Programmer (OCPJP) is valuable. Excellent communication skills, patience, and the ability to inspire and adapt to diverse learning styles are crucial soft skills. These competencies ensure effective knowledge transfer, student engagement, and success in preparing learners for real-world programming challenges.

What is the difference between Java Programming Instructor vs Java Developer?

AspectJava Programming InstructorJava Developer
Required CredentialsBachelor's in Computer Science or related, teaching certifications often preferredBachelor's in Computer Science or related, coding experience essential
Work EnvironmentEducational institutions, training centers, online platformsSoftware companies, tech startups, enterprise IT teams
Employer & Industry UsageEducational and training organizationsTechnology and software development industries
Common Search & ComparisonYesYes

The main difference between a Java Programming Instructor and a Java Developer lies in their roles. Instructors focus on teaching Java concepts, curriculum development, and student engagement, often working in educational settings. Developers, on the other hand, write, test, and maintain Java applications within tech companies. While both roles require Java expertise and similar educational backgrounds, their work environments and daily responsibilities differ significantly.

What are popular job titles related to Java Programming Instructor jobs in Charlotte, NC?

For Java Programming Instructor jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Java Programming Instructor jobs in Charlotte, NC look for?

The top searched job categories for Java Programming Instructor jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Java Programming Instructor jobs?

Cities near Charlotte, NC with the most Java Programming Instructor job openings:

Java Programming Instructor jobs near you

FDE Instructor - AI Deployment Lead

Photon

Charlotte, NC • On-site

Other

Posted 17 days ago

Job description

Job Title: FDE Instructor - AI Deployment Lead
Location: Charlotte NC
Job Description:
We are seeking a highly skilled AI Deployment Lead Devin AI with deep expertise in Devin and modern Generative AI (GenAI) tools to support enterprise-scale rollout and adoption across Line of Business (LOB) engineering teams.
This is a hands-on engineering role focused on enabling LOB teams to improve their product delivery lifecycle through effective utilization of GenAI tools, coupled with a strong ability to train and upskill engineering teams on autonomous development workflows. The ideal candidate combines solid software engineering fundamentals, practical experience integrating GenAI solutions into enterprise development environments, and demonstrated success teaching others to be effective with these tools not just executing tasks independently.
This role requires close partnership with product, platform, security, and engineering teams to accelerate delivery, improve developer productivity, and drive scalable, well-governed adoption of GenAI capabilities across the organization.
Responsibilities:
  • Lead the end-to-end rollout and scaling of GenAI tools (Devin, Claude Code, Cursor) across CDXO and LOB engineering teams.
  • Act as a hands-on engineer, building and integrating solutions into enterprise SDLC workflows (CI/CD pipelines, repositories, APIs).
  • Define and execute enterprise-wide rollout strategies, including phased onboarding and scaling models.
  • Partner with LOB teams to enhance the product delivery lifecycle using GenAI capabilities.
  • Design and deliver structured developer onboarding, training, and enablement programs teaching engineering teams to work effectively with autonomous development tools, not simply completing tasks on their behalf.
  • Advise teams on when to apply autonomous (Devin) vs. assistive (Copilot) approaches based on use case and risk profile.
  • Monitor tool adoption, usage metrics, and performance, ensuring continuous optimization.
  • Provide hands-on troubleshooting, performance tuning, and scaling support.
  • Establish reusable playbooks and best practices for enterprise-wide GenAI adoption.
  • Ensure alignment with enterprise governance, security, and compliance frameworks, including secrets/identity management practices for agent-based tooling.
  • Identify adoption gaps and proactively drive improvements in efficiency and scalability.
Requirements:
Experience:
  • 5 8+ years of software engineering experience, with strong fundamentals in at least one enterprise stack (e.g., Java, Python, or TypeScript/React/Angular).
  • Working knowledge of distributed systems, microservices, event-driven architectures, and API design/integration.
  • Hands-on experience with CI/CD pipelines and developer tooling ecosystems.
  • Familiarity with cloud platforms such as OpenShift (OCP) and Google Cloud Platform (Google Cloud Platform).
  • Demonstrated experience training, mentoring, or enabling engineering teams on new tools or workflows prior instructor, enablement, or forward-deployed engineering experience strongly preferred.
GenAI / LLM Expertise:
Hands-on experience with:
  • Devin
  • Claude / Anthropic models
  • Cursor or similar developer productivity tools (Copilot, etc.)
Strong understanding of:
  • Prompt engineering
  • RAG (Retrieval Augmented Generation)
  • Agent-based workflows and tool usage
  • Multi-agent architectures
  • MCP (Model Context Protocol) servers and integrations
  • Agentic systems including orchestration, tool chaining, and autonomous decision-driven workflows
Governance & Security:
  • Familiarity with enterprise AI governance and responsible-AI frameworks in regulated environments.
  • Working knowledge of secrets management and identity platforms (e.g., CyberArk, HashiCorp Vault) and enterprise IAM/SSO (e.g., Entra ID) as applied to agent identity and access control is a plus.
Preferred:
  • Ability to thrive in fast-paced, evolving environments.
  • Strong collaboration skills with cross-functional and LOB teams.
  • Capability to translate business requirements into technical solutions.
  • Experience working in enterprise environments with governance & compliance requirements.
  • Strong passion for driving adoption and improving developer productivity with the patience and communication skills to teach, not just build.

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