Senior Technical Trainer: AI, Cloud & DevOps

PTR Global; Fort Worth (TX); Hybrid; USD 55,000 - 90,000; Part time

Job summary

PTR Global is seeking an experienced Technical Trainer in Fort Worth, TX. This hybrid role delivers hands-on training across software engineering, Agile, DevOps, cloud, CI/CD, and AI-assisted development, emphasizing secure, responsible AI practices and human-in-the-loop controls.

The ideal candidate has extensive IT teaching experience, proficiency with TDD and AI tooling, and the ability to translate complex concepts into practical, hands-on learning experiences for diverse learners.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field; equivalent education and experience may be considered.
• Six or more years of relevant software engineering or technical delivery experience in an Agile environment.
• Five or more years of experience creating and delivering technical training.
• Hands-on experience with software engineering, TDD, CI/CD, and Agile methodologies such as Scrum, Kanban, or Extreme Programming.
• Experience using generative AI and AI coding assistants in software development or DevOps workflows.
• Practical experience building or supporting AI agents and tool-enabled LLM workflows.
• Strong understanding of responsible AI, secure data handling, AI-generated code risks, agent orchestration, tool calling, structured outputs, context management, and human-in-the-loop controls.
• Experience testing nondeterministic systems and diagnosing agent or AI workflow failures.
• Strong ability to explain complex technical concepts through practical instruction, demonstrations, and hands-on exercises.

Responsibilities

• Deliver instructor-led and hands-on training in software engineering, Agile, DevOps, cloud, CI/CD, testing, system design, and AI-assisted development.
• Translate complex technical concepts into clear and practical instruction for learners with varying experience levels.
• Teach responsible AI practices, including privacy, security, bias awareness, secure data handling, output validation, and human oversight.
• Teach agentic AI concepts, including planning, tool use, memory, orchestration, multi-agent workflows, tool calling, and human approval controls.
• Explain when agentic AI is appropriate compared with deterministic automation.
• Develop and maintain curricula, labs, code samples, assessments, diagrams, exercises, and digital learning content.
• Facilitate coding exercises, technical demonstrations, simulations, and collaborative problem-solving sessions.
• Train learners on object-oriented design, service-oriented architecture, TDD, automated testing, the Testing Pyramid, source control, containers, Kubernetes, cloud platforms, and CI/CD toolchains.
• Coach learners on debugging, concurrency, performance, resiliency, reliability, maintainability, and distributed systems.
• Teach software engineering practices for high-volume applications and enterprise environments.
• Manage learning paths, assessments, learner progress, and training records.
• Partner with engineering leaders and subject-matter experts to keep training content accurate and current.
• Measure learner outcomes and continuously improve training based on performance data and feedback.
• Diagnose failures in nondeterministic AI systems and agent-enabled workflows.
• Promote secure and responsible use of AI-generated code and AI-assisted development tools.

Skills

Software engineering

Agile methodologies

DevOps

Instructional design

Generative AI

AI coding assistants

Agentic AI

AI governance

Education

Bachelor’s degree in CS/Engineering/IT

Tools

Kubernetes

CI/CD tooling

Job description

PTR Global is seeking an experienced Technical Trainer in Fort Worth, TX. This hybrid role delivers hands-on training across software engineering, Agile, DevOps, cloud, CI/CD, and AI-assisted development, emphasizing secure, responsible AI practices and human-in-the-loop controls.

The ideal candidate has extensive IT teaching experience, proficiency with TDD and AI tooling, and the ability to translate complex concepts into practical, hands-on learning experiences for diverse learners.