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Python Tester Jobs in Arizona (NOW HIRING)

Photon

AI Dev (Features + CHQ)_Tempe,AZ

Anthem, AZ · On-site

The AI Developer will be responsible for building scalable backend services using Python and ... Contribute to CI/CD pipelines, automated testing, and engineering best practices. * Implement ...

Photon

AI Dev (Features + CHQ)_Tempe,AZ

Anthem, AZ · On-site

The AI Developer will be responsible for building scalable backend services using Python and ... Contribute to CI/CD pipelines, automated testing, and engineering best practices. * Implement ...

Photon

AI Devs (Platform + BE)_Tempe,AZ

Anthem, AZ · On-site

The AI Developer will be responsible for building scalable backend services using Python and ... Contribute to CI/CD pipelines, automated testing, and engineering best practices. * Implement ...

Globe Telecom, Inc.

Data Testing Expert

Globe, AZ

Must possess strong technical capabilities, including proficiency in coding languages like Python ... Data Testing: Conduct thorough testing of data flows, pipelines, and integration points to identify ...

Aptino

Hardware Validation/Verification Engineer

Phoenix, AZ · On-site

$122K - $161K/yr

Develop, maintain, and execute Python scripts for hardware verification and validation. * Perform board-level and interface-level testing. * Execute test procedures and document test results. * Debug ...

New

Belcan

Senior FPGA Engineer

Phoenix, AZ · Hybrid

$130K - $180K/yr

Testing in a lab environment * Hands on experience in developing scripts in Python to test hardware in the lab * Root cause and debugging on hardware using traditional lab test equipment * Ability to ...

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All JobsPython Tester JobsPython Tester Jobs in Arizona

Python Tester information

See Arizona salary details

$21.4K

$130.4K

$188.7K

How much do python tester jobs pay per year?

As of Jul 12, 2026, the average yearly pay for python tester in Arizona is $130,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $153,300.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Python Tester?

A Python Tester is usually responsible for designing, developing, and executing automated test scripts to ensure the functionality and quality of software applications. Their day-to-day tasks often include writing new test cases, debugging and maintaining existing scripts, analyzing test results, and reporting defects to the development team. They also collaborate closely with software developers, QA analysts, and project managers to ensure timely detection and resolution of issues. Additionally, Python Testers may participate in code reviews and contribute to continuous integration processes to streamline software releases.

What are the key skills and qualifications needed to thrive in the Python Tester position, and why are they important?

To thrive as a Python Tester, you need a strong background in Python programming, automated testing frameworks, and software QA methodologies, often supported by a degree in computer science or related fields. Familiarity with tools like pytest, Selenium, Jenkins, and knowledge of version control systems such as Git is typically required, and certifications in software testing (e.g., ISTQB) can be advantageous. Attention to detail, analytical thinking, and effective communication are important soft skills for identifying and reporting bugs while collaborating with developers and QA teams. These competencies are essential to ensure software reliability, efficiency, and successful cross-functional teamwork.

What is a Python Tester job?

A Python Tester is responsible for testing software applications written in Python to ensure they function correctly, efficiently, and securely. They write and execute test cases, identify bugs, and collaborate with developers to fix issues. Python Testers commonly use testing frameworks like PyTest, UnitTest, or Nose, along with automation tools like Selenium for web applications. Their role is crucial in maintaining software quality and reliability.

What are popular job titles related to Python Tester jobs in Arizona? For Python Tester jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Python Tester jobs in Arizona look for? The top searched job categories for Python Tester jobs in Arizona are:
Python Tester jobs near you
Infographic showing various Python Tester job openings in Arizona as of July 2026, with employment types broken down into 41% Full Time, and 59% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $130,437 per year, or $62.7 per hour.
AI Dev (Features + CHQ)_Tempe,AZ

AI Dev (Features + CHQ)_Tempe,AZ

Photon

Anthem, AZ • On-site

Full-time

Re-posted 17 days ago

Job description


Summary
Photon is seeking a skilled AI Developer (Platform + Backend) to support the design, development, and implementation of AI-powered employee support platform.
The enterprise AI platform built to streamline support for frontline and HQ teams through intelligent automation, workflow orchestration, and AI-driven resolution experiences. The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity.
The AI Developer will be responsible for building scalable backend services using Python and FastAPI, integrating AI capabilities, developing APIs, and supporting AI orchestration workflows across the platform. The role requires strong hands-on experience in backend engineering, cloud-native development, API integrations, and modern AI application development.
Responsibilities
  • Design, develop, and maintain scalable backend services using Python and FastAPI.

  • Build and integrate AI-powered services, APIs, and workflow orchestration components.

  • Develop RESTful APIs and microservices for frontend, mobile, and enterprise integrations.

  • Integrate Generative AI services, LLMs, vector databases, and semantic search capabilities.

  • Build and implement agent-based workflows including multi-step execution, tool integrations, and AI-driven decision flows.

  • Work with enterprise systems including HR, IT, identity, and operational platforms.

  • Develop secure, scalable, and high-performance backend architectures.

  • Implement asynchronous processing, event-driven communication, and API integrations.

  • Collaborate with frontend, mobile, DevOps, product, and AI engineering teams.

  • Support cloud-native deployments using containers and Kubernetes.

  • Write clean, maintainable, and testable code with proper documentation and testing practices.

  • Participate in code reviews, debugging, monitoring, and production support activities.

  • Contribute to CI/CD pipelines, automated testing, and engineering best practices.

  • Implement logging and monitoring for AI workflows including request tracing, latency tracking, and error analysis.

Qualifications
Need to Have
  • 5+ years of experience in backend or platform engineering.

  • Strong hands-on expertise in Python and FastAPI development.

  • Experience building REST APIs, microservices, and backend integration services.

  • Experience working with Generative AI, LLM APIs, AI orchestration frameworks, or AI-powered applications.

  • Strong understanding of distributed systems and cloud-native application development.

  • Experience with databases such as PostgreSQL, MongoDB, Redis, or vector databases.

  • Knowledge of asynchronous programming and event-driven architectures.

  • Experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP.

  • Strong understanding of API security, authentication, and authorization mechanisms.

  • Familiarity with Git-based workflows and Agile development practices.

  • Strong debugging, problem-solving, and communication skills.

  • Experience with RAG pipelines, vector databases, and semantic search.

Good to Have
  • Exposure to LangChain, LlamaIndex, OpenAI APIs, or similar AI frameworks.

  • Experience with Kafka, RabbitMQ, or messaging/event-streaming platforms.

  • Familiarity with Flutter/mobile integrations and frontend-backend communication.

  • Experience in QSR, retail, hospitality, or enterprise digital platforms.

  • Exposure to workflow automation and enterprise orchestration systems.

  • Experience with observability, monitoring, and logging tools.

  • Understanding of AI governance, prompt engineering, and AI evaluation frameworks.

Apply