Technical Trainer/Coach

PTR Global; Fort Worth (TX); Presencial; USD 90.000 - 130.000; Jornada completa

Descripción de la vacante

PTR Global is seeking an experienced Technical Trainer to deliver hands-on learning experiences across a large enterprise. You will develop curricula, coach learners through practical exercises and assessments, and maintain training materials while tracking progress.

The role emphasizes responsible AI and AI-assisted development tooling across the software development lifecycle to boost productivity with strong governance.

Formación

• Bachelor's degree in computer science or related field, or equivalent education and experience.
• Six+ years of relevant experience in an Agile environment.
• Five+ years creating and delivering technical training.
• Hands-on experience with software engineering, TDD, CI/CD, and Agile methodologies.
• Experience using generative AI and AI coding assistants in software or DevOps workflows.
• Practical experience building or supporting AI agents and tool-enabled LLM workflows.
• 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.

Responsabilidades

• Deliver instructor-led hands-on training in software engineering, Agile, DevOps, cloud, CI/CD, testing, system design, and AI-assisted development.
• Translate complex concepts into clear practical instruction for learners at varying skill levels.
• Teach responsible AI including privacy security bias awareness, output validation, and human oversight.
• Teach agentic AI concepts—planning, tool use, memory, orchestration, multi-agent workflows, and human approvals.
• Develop and maintain curricula, labs, code samples, assessments, diagrams, and digital learning content.
• Facilitate coding exercises, demonstrations, simulations, and collaborative problem-solving.
• Teach object-oriented design, SOA, TDD, automated testing, the Testing Pyramid, source control, containers, Kubernetes, cloud platforms, and CI/CD toolchains.
• Coach learners on debugging concurrency, performance, resiliency, reliability, and maintainability.
• Adapt training to distributed systems, high-volume applications, and enterprise use cases.
• Manage learning paths, assessments, learner progress, and training records; partner with engineering leaders to keep content current.
• Measure outcomes and continuously improve training from learner performance and feedback.

Conocimientos

Agile environments

Technical training

TDD

CI/CD

Generative AI

AI agents

LLM workflows

Agent orchestration

Security awareness

Communication skills

Educación

Bachelor's degree in CS or related field

Herramientas

Spring

Spring Boot

FastAPI

Angular

React

Docker

Kubernetes

GitHub

Azure DevOps

GitHub Actions

Kafka

REST

GraphQL

Selenium

TestNG

Postman

SonarQube

Cypress

JUnit

NUnit

PyTest

Cucumber

Playwright

WireMock

Mockito

Moq

Semantic Kernel

LangGraph

Descripción del empleo

• We're seeking an experienced Technical Trainer to deliver engaging hands-on learning experiences across a large diverse enterprise.
• This role combines software engineering expertise Agile and DevOps experience and strong facilitation skills.
• The trainer will develop and deliver technical curricula coach learners through practical exercises and assessments maintain training materials and track learner progress.
• Expected to be well-versed to teach on responsible use of AI and AI-assisted development tools across the software-development lifecycle helping learners improve productivity while maintaining security quality and human oversight.

Key Responsibilities -

• Deliver instructor-led hands-on training in software engineering Agile DevOps cloud CI/CD testing system design and AI-assisted development.
• Translate complex concepts into clear practical instruction for learners at varying skill levels.
• Teach responsible AI including privacy security bias awareness output validation and human oversight.
• Teach agentic AI concepts-including planning tool use memory orchestration multi-agent workflows and human approval controls-and when to use them instead of deterministic automation.
• Develop and maintain curricula labs code samples assessments diagrams and digital learning content.
• Facilitate coding exercises demonstrations simulations and collaborative problem-solving.
• Teach 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 and maintainability.
• Adapt training to distributed systems high-volume applications and enterprise use cases.
• Manage learning paths assessments learner progress and training records. - Partner with engineering leaders and subject-matter experts to keep content current and deliver consistent learning across cohorts.
• Measure outcomes and continuously improve training using learner performance and feedback.

Minimum Qualifications

• Bachelor's degree in computer science or a related discipline or equivalent education and experience.
• Six or more years of relevant experience in an Agile environment.
• Five or more years creating and delivering technical training.
• Hands-on experience with software engineering TDDCI/CD and Agile methodologies such as Extreme Programming Kanban or Scrum.
• 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.
• 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 failures.

Preferred Qualifications

• Experience developing labs and learning content for AI-assisted software engineering.
• Familiarity with RAG embeddings vector databases grounding LLM APIs model evaluation and AI governance.
• Experience integrating AI and agents with applications APIs CI/CD pipelines cloud services observability platforms and enterprise knowledge sources.
• Experience with agent frameworks such as Semantic Kernel AutoGen LangGraph or equivalent.
• Familiarity with MCP agent-to-agent communication and multi-agent orchestration.
• Knowledge of agent security including prompt-injection defences permission boundaries data-loss prevention sand boxing and audit trails. - Experience building CI/CD pipelines and applying the Testing Pyramid. - Experience with concurrency debugging performance profiling and optimization. - Strong communication skills and the ability to simplify systems solutions and processes.

Technical Skills

• Frameworks: Spring Spring Boot FastAPI
• Frontend: Angular React
• Containers and orchestration: Docker Kubernetes
• Sourcecontrol and delivery: GitHub Azure DevOps GitHub Actions
• Integration and APIs: KafkaREST GraphQL
• Testing and quality: Selenium TestNG Postman SonarQube Cypress Junit NUnit PyTest Cucumber Playwright WireMock Mockito Moq
• Agentic AI: Agent design and orchestration tool calling planning memory and context management retrieval multi-agent patterns MCP human approvals evaluation observability security guard rails and cost and latency optimization.