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Part Time Amazon Full Stack Developer Jobs in Arizona

SAFEbuilt

Senior Planner Hybrid Part Time

Phoenix, AZ · Hybrid

Senior Planner - Part Time - Hybrid/Greater Phoenix Area, AZ SAFEbuilt has the technical expertise ... Zoning, Code Enforcement, Fire Prevention, and Engineering, as well as full-service and ...

SAFEbuilt

Senior Planner Hybrid Part Time

Phoenix, AZ · On-site

Senior Planner - Part Time - Hybrid/Greater Phoenix Area, AZ SAFEbuilt has the technical expertise ... Engineering, as well as full-service and supplemental Building Department services. SAFEbuilt ...

Canyon Ranch

Cafe Server (Part-Time)

Tucson, AZ

... world-class service, innovative wellness programming, and extraordinary hospitality ... We are a full service resort that welcomes guests 365 days of the year, working weekends and ...

Canyon Ranch

Cafe Server (Part-Time)

Tucson, AZ

... world-class service, innovative wellness programming, and extraordinary hospitality ... We are a full service resort that welcomes guests 365 days of the year, working weekends and ...

City of Scottsdale

Traffic Engineer

Scottsdale, AZ · On-site

$93K - $126K/yr

The full salary range is listed above and mid-point for this position is $53.09 hourly/$110,427.20 ... part-time positions, and while work experience may substitute for education on a year-for-year ...

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All JobsAmazon Full Stack Developer JobsPart Time Amazon Full Stack Developer JobsPart Time Amazon Full Stack Developer Jobs in Arizona

Part Time Amazon Full Stack Developer information

What is a part time Amazon full stack developer?

A Part Time Amazon Full Stack Developer is a software developer who works on both front-end and back-end technologies for applications that are either hosted on Amazon Web Services (AWS) or are part of Amazon’s technology ecosystem. They typically work fewer hours than a full-time developer, allowing for flexibility in their schedule, but are still responsible for designing, developing, and maintaining scalable web applications. Their role may include working with AWS services, databases, APIs, and user interfaces, often collaborating remotely with other team members.

How does working part time as an Amazon full stack developer impact team collaboration and project involvement?

As a part-time Amazon Full Stack Developer, you'll typically collaborate with both front-end and back-end teams, often participating in daily standups and sprint planning. While your hours may be fewer than full-time colleagues, clear communication and time management are essential to ensure alignment on project goals and deadlines. You may be assigned to specific modules or features where your expertise is most needed, and you'll often use collaboration tools like Slack, Jira, and GitHub to stay connected. This role offers flexibility but requires proactive engagement to stay in sync with the team and maintain code quality standards.

What are the key skills and qualifications needed to thrive as a part time Amazon full stack developer, and why are they important?

To thrive as a Part Time Amazon Full Stack Developer, you need a solid understanding of both front-end and back-end web development, proficiency in languages such as JavaScript, Python, or Java, and relevant experience or a degree in computer science. Familiarity with AWS services, RESTful APIs, databases, and tools like Git is commonly required, along with certifications such as AWS Certified Developer being advantageous. Strong problem-solving skills, effective time management, and the ability to collaborate remotely are vital soft skills for this role. These competencies ensure efficient development, maintenance, and deployment of scalable applications within Amazon's fast-paced and distributed work environment.

What are the most commonly searched types of Amazon Full Stack Developer jobs in Arizona?

The most popular types of Amazon Full Stack Developer jobs in Arizona are:

What are popular job titles related to Part Time Amazon Full Stack Developer jobs in Arizona?

For Part Time Amazon Full Stack Developer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Part Time Amazon Full Stack Developer jobs in Arizona look for?

The top searched job categories for Part Time Amazon Full Stack Developer jobs in Arizona are:

What cities in Arizona are hiring for Part Time Amazon Full Stack Developer jobs?

Cities in Arizona with the most Part Time Amazon Full Stack Developer job openings:

Part Time Amazon Full Stack Developer jobs near you
Infographic showing various Part Time Amazon Full Stack Developer job openings in Arizona as of June 2026, with employment types broken down into 100% Part Time. Highlights an 94% In-person, and 6% Remote job distribution.

Hybrid Visiting Professor of Artificial Intelligence

DeVry University

Phoenix, AZ • On-site

Part-time

Retirement

Re-posted 21 days ago

DeVry University rating

8.5

Company rating: 8.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

79th of 619 rated colleges and universities

Job description

DeVry University strives to close our society's opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces.
Our colleague experience is an area of obsessive focus. At DeVry University, we care about you. Because, only through you can we deliver our unique Care Formula to our learners and partners.
Opportunity:
DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm and a commitment to providing the finest practitioner-focused education. We are seeking primarily industry professionals to teach and share their knowledge and experience with undergraduate and graduate students in a variety of fields.
  • Courses meet once or twice a week for eight weeks.
  • Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment.
  • Faculty are responsible for facilitating student learning by teaching courses and programs in accordance with DeVry University requirements.
  • Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives.
  • All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction.
  • DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University's needs and discretion.
  • As you explore this opportunity, we invite you to view this brief video highlighting how our faculty engage in meaningful student support.

Responsibilities:
  • Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives.
  • Organizes, prepares, and regularly revises and update all course materials.
  • Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students.
  • Models effective oral and written communications that engage the students, provide clarity, and improve student learning.
  • Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories.
  • Ensures that the content and level of material included on exams correspond to the course terminal objectives.
  • Demonstrates consistency and fairness in the preparation and grading of exams, and provide timely feedback to students.
  • Embraces and integrates the responsible use of AI technologies in the classroom to enhance teaching and learning outcomes.
  • Demonstrates the ability to recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.
  • Completes other duties as assigned.

Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • A doctorate in Artificial Intelligence, Computer Science, Data Science, Information Systems, or a closely related field is required, with at least 18 graduate credit hours in artificial intelligence, machine learning, data science, or a related computational discipline.
    • Applicants must upload unofficial graduate-level and above transcripts with their application.
  • Degrees must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an international institution determined to hold equivalent accreditation.
  • Three to five years of applied professional experience in artificial intelligence, machine learning, data science, intelligent systems, or related computational technologies.
  • Demonstrated experience with AI-enabled software development, which may include machine learning pipelines, generative AI tools, data modeling, or full-stack application development integrating AI services.
  • Two to five years of teaching experience at the post-secondary level, preferably in artificial intelligence, data science, programming, or emerging technology disciplines.
  • Industry-recognized certifications or professional credentials relevant to artificial intelligence, machine learning, data science, or software development.
  • Strong subject matter expertise in AI concepts and technologies, combined with effective communication skills and the ability to explain complex technical topics to diverse learners.
  • Knowledge of ethical, responsible, and secure AI practices, including awareness of data governance, bias mitigation, and responsible AI deployment.
  • Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply.

Preferred Qualifications
  • Industry certifications in Python programming, artificial intelligence, machine learning, or data science (e.g., PCEP or equivalent).
  • AI practitioner or engineer certifications (e.g., CAIP, Oracle GenAI, or comparable industry-recognized credentials).
  • Experience with AI development frameworks and tools, such as machine learning libraries, model deployment platforms, or generative AI systems.
  • Experience applying DevSecOps practices in AI or data-driven environments, including model lifecycle management and secure AI deployment.
  • Experience with programmatic or regional accreditation processes, including outcomes assessment and curriculum alignment.
  • Active membership or engagement in professional technology or AI-related organizations, contributing to ongoing industry awareness and innovation.
  • Experience integrating AI-assisted learning tools, immersive technologies, or intelligent tutoring systems into post-secondary instruction.

Pay:
Visiting Professor pay is based on level, credit hours taught per 8-week session, and location.
  • Pay may vary in most states from $1500-$2700 per 8-week session.
  • Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour.

For Visiting Professor roles, we accept applications on an ongoing basis.
DeVry University offers benefit options for Visiting Professors, including:
  • 401(k) and Roth Plan
  • Paid Tuition Program
  • Remote and Flex Work Options
  • Paid Sick Time
  • Technology Stipend

Benefits vary based on employment status. Part-time/Visiting Professors positions may not be eligible for all benefits.
We believe that a vibrant and collaborative workplace is essential to our educational mission and the success of our community.
We are committed to a workplace environment where all colleagues feel valued, respected, and supported.

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