Senior Tech Coach: AI-Driven DevOps & Agile Training

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.