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Full Stack Development Instructor Jobs in Manor, TX

Deloitte

Manager - GenAI Full Stack Developer

Austin, TX · On-site

Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and ... Full stack engineering * JavaScript/TypeScript * HTML/CSS plus SASS/LESS * UI/UX design principles ...

Relativity, Inc.

Full Stack Developer

Austin, TX · On-site

Full Stack Developer - MERN Stack Relativity, Inc. | Lakeway / Austin, TX | Full-Time, In Office Relativity is hiring two full-time Full Stack Developers to work alongside our Development Team on ...

Saronic Technologies

Full Stack Engineer

Austin, TX · On-site

The Full Stack Engineer will be responsible for designing, developing, and maintaining web-based ... development processes and tools • Participate in Agile development methodologies, including ...

Saronic Technologies

Full Stack Engineer

Austin, TX · On-site

The Full Stack Engineer will be responsible for designing, developing, and maintaining web-based ... development processes and tools • Participate in Agile development methodologies, including ...

Zortech Solutions

Java Full stack Developer

Austin, TX · On-site

$52 - $67.25/hr

Job Title - Full-Stack React.js Developer Location - Austing, TX, Hybrid Duration - 9th June 2025 ... This role offers the opportunity to contribute to all aspects of the software development lifecycle ...

Intiva Health

Full Stack Java Developer

Austin, TX · On-site

$52 - $67.25/hr

... Stack Java Developer to enhance their platform ... The role involves full life cycle development using Java technology, creating both front-end and ...

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All JobsFull Stack Development Instructor JobsFull Stack Development Instructor Jobs in Manor, TX

Full Stack Development Instructor information

See Manor, TX salary details

$25

$63

$92

How much do full stack development instructor jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for full stack development instructor in Manor, TX is $63.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $73.61 per hour, depending on experience, location, and employer.

What are some common challenges Full Stack Development Instructors face when supporting students with diverse technical backgrounds?

Full Stack Development Instructors often work with students who have varying levels of prior coding experience. A common challenge is balancing the pace of lessons to ensure beginners aren’t left behind while still engaging more advanced students. Instructors address this by providing differentiated instruction, offering supplemental resources, and fostering a collaborative classroom environment where peer learning is encouraged. Additionally, adapting to different learning styles and keeping up with evolving technologies are essential parts of the role.

What does a Full Stack Development Instructor do?

A Full Stack Development Instructor teaches students how to build both the front-end and back-end components of web applications. They cover topics like HTML, CSS, JavaScript, databases, and server-side programming. Instructors design lessons, provide hands-on coding exercises, and guide students through real-world projects to ensure a thorough understanding of full stack development. They also offer feedback, mentorship, and support to help students succeed in launching their tech careers.

What is the difference between Full Stack Development Instructor vs Web Developer?

AspectFull Stack Development InstructorWeb Developer
CredentialsBachelor's degree in CS or related field, teaching certifications often preferredTypically requires a degree in CS or related field, coding bootcamp certificates beneficial
Work EnvironmentEducational settings, training centers, online teaching platformsCorporate, agency, or freelance projects, office or remote work
Employer & IndustryEducational institutions, coding bootcamps, online education companiesTech companies, startups, freelance clients
Search & Comparison IntentUnderstanding teaching roles, certifications, and training focusJob responsibilities, skills, and industry applications

While both roles require strong web development skills, a Full Stack Development Instructor primarily focuses on teaching and curriculum development in educational settings. In contrast, a Web Developer applies coding skills directly to build and maintain websites or applications. The roles overlap in technical knowledge but differ in work environment and primary responsibilities.

What are the key skills and qualifications needed to thrive as a Full Stack Development Instructor, and why are they important?

To thrive as a Full Stack Development Instructor, you need deep knowledge of front-end and back-end programming languages (such as JavaScript, HTML/CSS, Python, or Java), software development principles, and often a relevant degree or industry experience. Familiarity with tools like version control systems (Git), development frameworks (React, Node.js, Django), and learning management systems (LMS) is typically required. Strong communication, patience, and the ability to explain complex concepts clearly are standout soft skills for this role. These competencies ensure students gain practical coding skills and confidence, leading to effective learning outcomes in a fast-evolving tech environment.
Full Stack Development Instructor jobs near you
Infographic showing various Full Stack Development Instructor job openings in Manor, TX as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $132,892 per year, or $63.9 per hour.
Manager - GenAI Full Stack Developer

Manager - GenAI Full Stack Developer

Deloitte

Austin, TX • On-site

Other

Posted 9 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services

Job description

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on July 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on July 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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