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Junior Backend Engineer Jobs in Arizona (NOW HIRING)

Mentor junior developers, conduct rigorous code reviews, and drive engineering best practices (CI/CD, TDD, and Documentation). Tech Stack: Python (FastAPI), Docker, Azure (preferred), OpenTelemetry ...

Java Backend developer

Phoenix, AZ · On-site

$50.25 - $65/hr

... mentor junior engineers to foster a culture of continuous learning and improvement. • ... backend services in cloud environments (e.g., AWS, Azure, Google Cloud). • Collaborate with ...

Developer, Back End

Tempe, AZ · On-site

$114K - $135K/yr

You will play a key role in mentoring junior developers, participating in architecture discussions ... Develop and maintain scalable backend services and APIs using TypeScript on AWS serverless ...

Developer, Back End

Tempe, AZ · On-site

$114K - $135K/yr

You will play a key role in mentoring junior developers, participating in architecture discussions ... Develop and maintain scalable backend services and APIs using TypeScript on AWS serverless ...

Senior Developer, Back-End

Tempe, AZ · On-site

$143K - $165K/yr

You will play a key role in mentoring junior developers, participating in architecture discussions ... Develop and maintain scalable backend services and APIs using TypeScript on AWS serverless ...

Develop backend services with Nodejs TypeScript Apollo GraphQL MongoDB utilizing NestJS and Prisma ... Mentor junior team members and foster a knowledge sharing environment * Proactively stay abreast of ...

Senior Software Engineer

Tempe, AZ · Remote

$117K - $154K/yr

... back-end capabilities for our cutting-edge financial advisor platform - software that supports ... Mentor junior and mid-level engineers and contribute to knowledge sharing through pairing, coaching ...

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Junior Backend Engineer information

See Arizona salary details

$31.2K

$66.9K

$102K

How much do junior backend engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for junior backend engineer in Arizona is $66,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,200.00 and $74,600.00 per year, depending on experience, location, and employer.

What is a junior backend engineer?

Junior Backend Engineers are entry-level software developers who focus on building and maintaining the server-side components of web applications. They work with databases, APIs, and server logic to ensure that applications function smoothly and efficiently. Typically, they collaborate with frontend engineers, follow best coding practices, and learn from more experienced team members while gaining hands-on experience with backend technologies such as Node.js, Python, Java, or Ruby.

What is the difference between Junior Backend Engineer vs Backend Developer?

AspectJunior Backend EngineerBackend Developer
Required CredentialsTypically a bachelor's degree in CS or related field; some certificationsSimilar credentials; often more experience or certifications
Work EnvironmentEntry-level, team-based projects, supervised tasksMid-level to senior projects, more autonomous roles
Industry UsageCommon in tech companies, startups, and software firmsWidespread across industries requiring backend solutions
Search & Comparison IntentOften searched by beginners or those exploring rolesCompared for experience level or career progression

The main difference between a Junior Backend Engineer and a Backend Developer lies in experience and responsibility. Junior Backend Engineers are typically entry-level, focusing on learning and supporting development tasks under supervision. Backend Developers usually have more experience, handling complex projects independently. Both roles require similar educational backgrounds and are common in tech industries, but the level of autonomy and project complexity distinguishes them.

What are the key skills and qualifications needed to thrive as a junior backend engineer?

To thrive as a Junior Backend Engineer, you need a solid understanding of server-side programming languages (such as Python, Java, or Node.js), relational and non-relational databases, and a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, RESTful API development, and cloud platforms (e.g., AWS or Azure) is typically expected. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and adapt to changing requirements. These skills ensure that you can contribute reliable, maintainable code and support the scalability and security of backend systems.

What are some common challenges faced by junior backend engineers during their first year on the job?

Junior Backend Engineers often encounter challenges such as understanding complex codebases, integrating with legacy systems, and managing time effectively while learning new technologies. Collaborating with cross-functional teams and following best practices for code reviews can also be new experiences. Most teams provide mentorship and code review sessions to support growth, and it's common to gradually take on more responsibility as confidence and skills increase.
What are the most commonly searched types of Backend Engineer jobs in Arizona? The most popular types of Backend Engineer jobs in Arizona are:
What cities in Arizona are hiring for Junior Backend Engineer jobs? Cities in Arizona with the most Junior Backend Engineer job openings:

Senior Python Backend Engineer

AIAEC LLC

Phoenix, AZ • On-site

Full-time

Re-posted 16 days ago


Job description

Description:

Why AIAEC?

You’ll be at the forefront of the "AI in AEC" revolution. We are a small, agile team where your architectural decisions directly impact how the built world is designed and constructed. If you enjoy solving "real-world" problems where code meets concrete, this is your spot.


As a Senior Python Backend Engineer at AIAEC, you will be a key architect and builder of ChatAEC and our suite of AI-driven civil engineering tools. You won't just be writing APIs; you will be engineering the backbone that integrates complex engineering datasets with cutting-edge LLMs. You will bridge the gap between high-level AI research and production-grade software, ensuring our infrastructure is scalable, observable, and resilient.


Key Responsibilities:


? API Architecture: Design, develop, and maintain high-performance, asynchronous backend services using Python and FastAPI.

? AI Integration: Collaborate with ML engineers to deploy and scale AI models, specifically focusing on RAG (Retrieval-Augmented Generation) workflows.

? Infrastructure & DevOps: Own the lifecycle of your services—from containerization with Docker to orchestration and deployment within Azure.

? Observability: Implement robust monitoring and distributed tracing using OpenTelemetry to ensure high availability and deep system insights.

? Database Integration: Review and optimize queries in PostgreSQL to handle complex spatial and relational data.

? Technical Leadership: Mentor junior developers, conduct rigorous code reviews, and drive engineering best practices (CI/CD, TDD, and Documentation).


Tech Stack: Python (FastAPI), Docker, Azure (preferred), OpenTelemetry, PostgreSQL

Requirements:

Technical Requirements:


  • Python Expertise: 5+ years of professional experience with Python, with a deep understanding of asyncio and performance profiling.
  • Frameworks: Mastery of FastAPI (including Pydantic, Dependency Injection, and Middleware).
  • Containerization: Solid experience with Docker.
  • Cloud & DevOps: Solid experience managing cloud infrastructure. While our stack is Azure-centric, strong experience with AWS or GCP is highly transferable and welcomed.
  • Observability: Practical experience with OpenTelemetry, Prometheus, or similar tools for tracking system health and performance.
  • Modern Tooling: Familiarity with Git-based workflows, CI/CD pipelines (Azure DevOps or
  • GitHub Actions), and automated testing suites.

Nice to Haves:

  • Experience with OpenAI API, LangChain, or LlamaIndex.
  • Background or interest in Civil Engineering, BIM (Building Information Modeling), or CAD software integration.
  • Experience with Vector Databases (e.g., Pinecone, Weaviate, or pgvector).