Sr. Technical Coach, IT

INSPYR Solutions

Fort Worth (TX)

On-site

USD 69,000 - 76,000

Full time

3 days ago
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Benefits offered by this job

Comprehensive medical benefits
Competitive pay
401(k) retirement plan

Job summary

INSPYR Solutions in Fort Worth, TX is seeking a Sr. Technical Coach to design and deliver engaging, hands-on technical learning experiences for software engineering teams. This role blends deep software engineering knowledge, Agile and DevOps expertise, and strong facilitation skills, with a focus on practical use of generative AI throughout the software development lifecycle.

The Sr. Technical Coach will lead instructor-led trainings across software engineering, DevOps, cloud, CI/CD, testing,

Qualifications

  • Bachelor’s degree in Computer Science or a related field or equivalent education and professional experience.
  • 6+ years of relevant experience in an Agile software engineering environment.
  • 5+ years of experience 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 within 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 troubleshooting AI or agent-related failures.
  • Strong communication, facilitation, and coaching skills with the ability to simplify complex technical concepts.
  • Experience with modern development technologies such as Java, Python, C#, JavaScript, TypeScript, Spring Boot, FastAPI, Angular, React, Docker, Kubernetes, GitHub, Azure DevOps, AWS, Azure, REST APIs, and automated testing tools.

Responsibilities

  • Deliver instructor-led, hands-on training in software engineering, Agile, DevOps, cloud, CI/CD, testing, system design, and AI-assisted development.
  • Translate complex technical concepts into practical, easy-to-understand instruction for learners at different skill levels.
  • Teach responsible AI practices including privacy, security, bias awareness, output validation, and human oversight.
  • Coach learners on agentic AI concepts such as planning, tool use, memory, orchestration, multi-agent workflows, and human approval controls.
  • Develop and maintain technical curricula, labs, code samples, assessments, diagrams, and digital learning content.
  • Facilitate coding exercises, demonstrations, simulations, and collaborative problem-solving sessions.
  • Teach object-oriented design, service-oriented architecture, TDD, automated testing, the Testing Pyramid, source control, containers, Kubernetes, cloud platforms, and CI/CD practices.
  • Coach learners on debugging, concurrency, performance, resiliency, reliability, and maintainability.
  • Adapt learning content to distributed systems, high-volume applications, and enterprise use cases.
  • Track learner progress, assessments, learning paths, and training outcomes.
  • Partner with engineering leaders and subject matter experts to keep training content current and relevant.
  • Continuously improve learning programs based on learner performance, feedback, and business needs.

Skills

Strong communication
Facilitation
Coaching
Agile software engineering background
Generative AI experience

Education

Bachelor’s degree in Computer Science or related field
Equivalent education & experience

Tools

Java
Python
C#
JavaScript
TypeScript
Spring Boot
FastAPI
Angular
React
Docker
Kubernetes
GitHub
Azure DevOps
AWS
Azure
REST APIs
Automated testing tools

Job description

Title: Sr. Technical Coach, IT

Location: Fort Worth, TX

Duration: 6 months.

Compensation: $50/hr W2 - $55/hr C2C

Work Requirements: US Citizen, Green Card Holders, or Authorized to Work in the U.S.

We are looking for a Sr. Technical Coach to design and deliver engaging, hands-on technical learning experiences for software engineering teams. This role combines deep software engineering knowledge, Agile and DevOps expertise, and strong facilitation skills. The ideal candidate will be able to coach learners across modern engineering practices while also teaching the responsible and practical use of generative AI and agentic AI throughout the software development lifecycle.

Key Responsibilities Include:
  • Deliver instructor-led, hands-on training in software engineering, Agile, DevOps, cloud, CI/CD, testing, system design, and AI-assisted development.
  • Translate complex technical concepts into practical, easy-to-understand instruction for learners at different skill levels.
  • Teach responsible AI practices including privacy, security, bias awareness, output validation, and human oversight.
  • Coach learners on agentic AI concepts such as planning, tool use, memory, orchestration, multi-agent workflows, and human approval controls.
  • Develop and maintain technical curricula, labs, code samples, assessments, diagrams, and digital learning content.
  • Facilitate coding exercises, demonstrations, simulations, and collaborative problem-solving sessions.
  • Teach object-oriented design, service-oriented architecture, TDD, automated testing, the Testing Pyramid, source control, containers, Kubernetes, cloud platforms, and CI/CD practices.
  • Coach learners on debugging, concurrency, performance, resiliency, reliability, and maintainability.
  • Adapt learning content to distributed systems, high-volume applications, and enterprise use cases.
  • Track learner progress, assessments, learning paths, and training outcomes.
  • Partner with engineering leaders and subject matter experts to keep training content current and relevant.
  • Continuously improve learning programs based on learner performance, feedback, and business needs.
Required Qualifications:
  • Bachelor’s degree in Computer Science or a related field, or equivalent education and professional experience.
  • 6+ years of relevant experience working in an Agile software engineering environment.
  • 5+ 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 within 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 troubleshooting AI or agent-related failures.
  • Strong communication, facilitation, and coaching skills with the ability to simplify complex technical concepts.
  • Experience with modern development technologies such as Java, Python, C#, JavaScript, TypeScript, Spring Boot, FastAPI, Angular, React, Docker, Kubernetes, GitHub, Azure DevOps, AWS, Azure, REST APIs, and automated testing tools.
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 similar technologies.
  • Familiarity with MCP, agent-to-agent communication, and multi-agent orchestration.
  • Knowledge of agent security concepts including prompt-injection defenses, permission boundaries, data-loss prevention, sandboxing, and audit trails.
  • Experience building CI/CD pipelines and applying the Testing Pyramid.
  • Experience with concurrency, debugging, performance profiling, optimization, resiliency, and distributed systems.
Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay
  • 401(k) retirement plan
  • and much more
About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities.

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