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Sr Python Full Stack Developer Jobs in Arizona (NOW HIRING)

TEKsystems

Full Stack Python Developer

Chandler, AZ

$70 - $96/hr

Full Stack Python/React Developer W2 ONLY - NO C2C Hybrid in Chandler, AZ We are seeking a Full Stack Developer with strong technical leadership skills and a proactive, delivery-focused mindset to ...

Photon

Full stack Developer

Tempe, AZ · On-site

Full stack Developer Tempe, AZ - Onsite Responsibilities * Modern Frontend: Strong hands-on experience with JavaScript/TypeScript and React (or similar frameworks), building scalable, responsive, and ...

Yrefy LLC

Full Stack Developer

Phoenix, AZ · On-site

$90K - $130K/yr

Full Stack Developer Status: Full-time, On-site Department: Technology Reports to: Director of Engineering About the Role We're seeking full stack engineers to expand our platform's API and service ...

Yrefy LLC

Full Stack Developer

Phoenix, AZ · On-site

Full Stack Developer Status: Full-time, On-site Department: Technology Reports to: Director of Engineering About the Role We're seeking full stack engineers to expand our platform's API and service ...

Yrefy LLC

Full Stack Developer

Phoenix, AZ · On-site

$90K - $130K/yr

Full Stack Developer Status: Full-time, On-site Department: Technology Reports to: Director of Engineering About the Role We're seeking full stack engineers to expand our platform's API and service ...

eTeam

Senior Java Full Stack Developer

Phoenix, AZ · On-site

$52.25 - $67.25/hr

Job Summary : eTeam is seeking a highly experienced Senior Java Full Stack Developer with strong expertise in Java/J2EE technologies and prior experience in the Banking or Financial Services domain.

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Sr Python Full Stack Developer information

What is a Sr Python Full Stack Developer?

A Sr Python Full Stack Developer is an experienced software engineer who is proficient in both front-end and back-end development using Python and related technologies. They are responsible for designing, developing, and maintaining web applications, often handling both client-side and server-side logic. This role requires expertise in frameworks like Django or Flask for the backend, and familiarity with front-end technologies such as JavaScript, HTML, and CSS. Senior developers also mentor junior team members, participate in architectural decisions, and ensure best practices in coding and deployment.

What are the key skills and qualifications needed to thrive as a Sr Python Full Stack Developer?

To excel as a Sr Python Full Stack Developer, you need advanced proficiency in Python, web frameworks like Django or Flask, front-end technologies (JavaScript, React or Angular), and a solid understanding of databases, typically backed by a bachelor's degree in computer science or a related field. Familiarity with version control systems like Git, cloud platforms (AWS, Azure), and containerization tools such as Docker is commonly expected, along with relevant certifications. Strong problem-solving abilities, effective communication, and the ability to collaborate in agile teams distinguish top performers in this role. These skills ensure delivery of robust, scalable applications and seamless integration across the technology stack, meeting both business and user needs efficiently.

What are some common challenges Sr Python Full Stack Developers face when managing both backend and frontend tasks?

Sr Python Full Stack Developers often encounter the challenge of balancing deep backend logic—such as API development and database management—with the rapidly evolving landscape of frontend technologies. Staying up to date with best practices in both areas requires continuous learning and adaptation. Additionally, coordinating with UI/UX designers, DevOps engineers, and QA teams is crucial to ensure seamless integration and smooth product delivery. Effective time management and strong communication skills are key to overcoming these challenges and delivering reliable, well-integrated solutions.

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Sr Python Full Stack Developer jobs near you
Infographic showing various Sr Python Full Stack Developer job openings in Arizona as of August 2026, with employment types broken down into 2% Internship, 88% Full Time, 4% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Python Full Stack Security Engineer

Northern Base

Phoenix, AZ • On-site

Full-time

Posted 13 days ago

Job description

Python Full Stack Security Engineer
Phoenix, AZ
Fulltime
 
Job Description
Python Full Stack Security Engineer
 
This role is focused on engineering security solutions. The successful candidate will combine full-stack software engineering, security engineering, identity, automation, and systems integration skills to translate security challenges into production-ready technical capabilities.
 
Roles & Responsibilities
• Strong Python proficiency and experience building production backend services, APIs, integrations, and automation.
• Working knowledge of AWS, Azure, or GCP, including deployment, identity, secrets, logging, and security controls.
• Demonstrated full-stack development experience across front-end, backend, APIs, databases, and deployment.
• Experience translating security requirements and risks into scalable technical solutions and controls.
• Working knowledge of another language such as JavaScript/TypeScript, Java, or Go.
• Experience with backend and front-end frameworks such as FastAPI, Flask, Django, React, Angular, or Vue.
• Strong understanding of IAM, including authentication, authorization, RBAC/ABAC, OAuth/OIDC, SSO, and federation.
• Experience integrating with identity and security platforms such as Okta, Microsoft Entra ID, Auth0, or similar.
• Experience designing and securing RESTful APIs and system integrations.
• Proficiency in Linux/Unix environments, including troubleshooting, logging, service management, and scripting.
• Familiarity with Docker, Kubernetes, and CI/CD for deploying and operating applications.
• Proficiency with Git, code review, testing, and modern software engineering practices.
• Ability to work with security telemetry, logs, APIs, and structured data for analysis and automation.
• Exposure to pandas, NumPy, scikit-learn, or similar libraries for data processing and experimentation.
• Familiarity with generative AI/LLMs, including prompt design, API integration, output evaluation, and security considerations.