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Back End Operations Jobs in Arizona (NOW HIRING)

The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity. The AI Developer will be ...

Ensure backend systems meet enterprise standards for performance, security, and operational stability * Participate in design reviews, code reviews, and technical documentation * Balance rapid ...

Ensure backend systems meet enterprise standards for performance, security, and operational stability * Participate in design reviews, code reviews, and technical documentation * Balance rapid ...

Ensure backend systems meet enterprise standards for performance, security, and operational stability * Participate in design reviews, code reviews, and technical documentation * Balance rapid ...

Ensure backend systems meet enterprise standards for performance, security, and operational stability * Participate in design reviews, code reviews, and technical documentation * Balance rapid ...

Retail Assistant Manager

Chandler, AZ · On-site

$16.25 - $22/hr

This role balances leadership on the sales floor with strategic oversight of back-end operations, logistics, and team development. You'll support store performance, drive operational goals, and play ...

... operations intelligence is enabled for our customer. Why This Role Stands Out * High Impact: Your ... Backend Development: Design, develop, test, and maintain backend application components using Java ...

... operations intelligence is enabled for our customer. Why This Role Stands Out * High Impact: Your ... Backend Development: Design, develop, test, and maintain backend application components using Java ...

Our purpose is to streamline backend operations, allowing retail pharmacies to dedicate more time to patient care. As a Staff Pharmacist, you will be pivotal in maintaining high operational standards ...

Responsibilities : • Develop and maintain scalable backend services and APIs using TypeScript on ... and operations • Debug and resolve production issues using AWS CloudWatch logs, Datadog, and ...

Our purpose is to streamline backend operations, allowing retail pharmacies to dedicate more time to patient care. As a Staff Pharmacist, you will be pivotal in maintaining high operational standards ...

As a Senior Python Backend Engineer at AIAEC, you will be a key architect and builder of ChatAEC ... Infrastructure & DevOps: Own the lifecycle of your services--from containerization with Docker to ...

Developer, Back End

Tempe, AZ · On-site

$114K - $135K/yr

The ideal candidate will have experience building scalable backend services and APIs primarily ... Create detailed workflow diagrams and technical documentation to support development and operations

Developer, Back End

Tempe, AZ · On-site

$114K - $135K/yr

The ideal candidate will have experience building scalable backend services and APIs primarily ... Create detailed workflow diagrams and technical documentation to support development and operations

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Showing results 1-20

Back End Operations information

See Arizona salary details

$11

$53

$78

How much do back end operations jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for back end operations in Arizona is $53.80, according to ZipRecruiter salary data. Most workers in this role earn between $44.13 and $63.61 per hour, depending on experience, location, and employer.

What is the difference between Back End Operations vs Data Analyst?

AspectBack End OperationsData Analyst
Required CredentialsTypically requires a degree in business, operations, or related fields; certifications like Six Sigma or PMP are commonRequires a degree in statistics, mathematics, or related fields; certifications like Microsoft Excel, Tableau, or SQL are common
Work EnvironmentPrimarily office-based, focusing on process management, logistics, and workflow optimizationOffice or remote-based, focusing on data collection, analysis, and reporting
Employer & Industry UsageUsed across industries like manufacturing, logistics, and e-commerce for operational efficiencyCommon in finance, marketing, healthcare, and tech for data-driven decision making

Back End Operations focuses on managing and optimizing business processes behind the scenes, while Data Analysts interpret data to inform strategic decisions. Both roles require analytical skills but differ in their focus and tools used.

What are some common challenges faced by professionals in Back End Operations, and how can they overcome them?

Professionals in Back End Operations often face challenges such as managing high volumes of data, ensuring data accuracy, and maintaining efficient workflows under tight deadlines. Collaboration with other departments, such as IT and customer service, is crucial to resolve issues quickly and implement process improvements. Staying organized, leveraging automation tools, and maintaining clear communication with team members can help overcome these challenges and contribute to smoother operations overall.

What are the key skills and qualifications needed to thrive as a Back End Operations professional, and why are they important?

To thrive in Back End Operations, you need strong analytical abilities, attention to detail, and a solid understanding of business processes or supply chain management, often supported by a relevant degree. Familiarity with enterprise resource planning (ERP) systems, databases, and workflow management software is typically required. Excellent organizational skills, problem-solving capabilities, and effective communication set top performers apart in this role. These skills ensure smooth business operations, efficient process management, and reliable support for front-line teams.

What are Back End Operations?

Back End Operations refer to the processes, systems, and personnel that support a business’s core functions behind the scenes. These operations include tasks such as data management, server maintenance, database administration, and handling transaction processing. Unlike front-end roles that interact directly with customers, back end operations focus on ensuring that business workflows, IT infrastructure, and internal systems run smoothly and efficiently. This work is essential for maintaining business continuity, supporting customer-facing teams, and enabling seamless service delivery.
Infographic showing various Back End Operations job openings in Arizona as of May 2026, with employment types broken down into 71% Full Time, 25% Part Time, 2% Temporary, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $111,907 per year, or $53.8 per hour.
AI Developer (Platform + Backend)

AI Developer (Platform + Backend)

Photon

Tempe, AZ

Other

Posted 6 days ago


Job description

Job Title : AI Developer (Platform + Backend)
Location :Tempe ,AZ

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:
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 Google Cloud Platform.
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.


AI Developer (Platform + Backend)@Tempe ,AZ . Please share your resumes to
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.