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Backend Full Stack Engineer Jobs in Arizona (NOW HIRING)

You will combine traditional engineering (Node.js backend, Angular front end, MongoDB, Camunda ... with proven full-stack delivery. - Strong Node.js experience and modern backend design (async ...

Design and build scalable full stack applications across backend and frontend layers * Develop and ... Contribute to improving developer productivity and engineering excellence using AI-driven ...

Design and build scalable full stack applications across backend and frontend layers * Develop and ... Contribute to improving developer productivity and engineering excellence using AI-driven ...

Full Stack Engineer Job Location: Phoenix - Arizona - USA Job Type: Contract * Develop and design ... Develop backend services with Nodejs TypeScript Apollo GraphQL MongoDB utilizing NestJS and Prisma ...

Develop scalable frontend applications, backend services, APIs, and data-driven solutions that ... Strong full-stack engineering experience, including modern frontend development and backend ...

Java Full Stack Cloud Engineer / Java Lead | Phoenix, AZ | 100% Onsite We're looking for an ... of backend development, APIs, microservices, and distributed systems โ€ข Experience collaborating ...

Senior Java Full-Stack Engineer As a Senior Java full-stack Engineer with CVS Health PSS IT team, you will provide technical leadership to a product team with 8-10 engineers and work with the team to ...

Senior Full Stack Engineer (Typescript)

Phoenix, AZ ยท On-site +1

$135K - $175K/yr

About the Role We are seeking an experienced, highly motivated Senior Full-Stack Engineer to join ... backend of our clients' products. * Write clean, maintainable, and well-tested code using ...

Java Full Stack Developer

Phoenix, AZ

$49.50 - $64/hr

About the Role EITACIES is seeking a Java Full Stack Developer with strong backend engineering experience and solid frontend development skills using React. This role will work on enterprise-scale ...

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Backend Full Stack Engineer information

What is a Backend Full Stack Engineer?

A Backend Full Stack Engineer is a software developer who specializes in building and maintaining the server-side logic, databases, and APIs of an application, while also having proficiency in front-end technologies. They are capable of working on both the backend and frontend parts of web applications, allowing them to develop end-to-end features and ensure seamless integration between the client and server sides. This role requires strong knowledge of programming languages such as JavaScript (Node.js), Python, or Java, as well as familiarity with databases, server architectures, and various web frameworks. Backend Full Stack Engineers often collaborate with designers, frontend developers, and other stakeholders to deliver complete and functional products.

How does a Backend Full Stack Engineer typically collaborate with frontend developers and other team members?

Backend Full Stack Engineers frequently work alongside frontend developers, product managers, and QA engineers to deliver seamless user experiences. They are responsible for building and maintaining server-side logic and APIs, ensuring data flows efficiently between the backend and frontend. Effective communication is essential, as they must align backend functionality with frontend requirements and participate in code reviews, sprint planning, and troubleshooting sessions. This collaborative environment fosters learning and often provides opportunities to contribute across the tech stack, enhancing both technical and interpersonal skills.

What are the key skills and qualifications needed to thrive as a Backend Full Stack Engineer, and why are they important?

To thrive as a Backend Full Stack Engineer, you need strong proficiency in server-side languages (such as Node.js, Python, or Java), database management, and a solid understanding of front-end technologies, usually supported by a degree in computer science or related experience. Familiarity with frameworks (like Express, Django, or Spring), version control systems (like Git), and cloud platforms (such as AWS or Azure) is typically required. Effective problem-solving, communication, and teamwork skills help you collaborate across disciplines and deliver robust solutions. These skills ensure scalable, maintainable applications and seamless integration between backend and frontend systems, which are critical for organizational success.

What is the difference between Backend Full Stack Engineer vs Frontend Developer?

AspectBackend Full Stack EngineerFrontend Developer
Primary FocusDeveloping server-side logic, databases, and APIsDesigning and implementing user interface and client-side features
Required SkillsProgramming languages like Python, Java, Node.js; databases; server managementHTML, CSS, JavaScript; frameworks like React or Angular
Work EnvironmentOften involved in both front-end and back-end tasks, collaborating across teamsPrimarily focused on client-side development, UI/UX design

While both roles require strong programming skills, Backend Full Stack Engineers handle both server-side and client-side development, whereas Frontend Developers focus mainly on creating engaging user interfaces. Understanding these differences helps employers and job seekers target the right skills and responsibilities for each role.

What are popular job titles related to Backend Full Stack Engineer jobs in Arizona? For Backend Full Stack Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Backend Full Stack Engineer jobs in Arizona look for? The top searched job categories for Backend Full Stack Engineer jobs in Arizona are:
What cities in Arizona are hiring for Backend Full Stack Engineer jobs? Cities in Arizona with the most Backend Full Stack Engineer job openings:
full-stack engineer

full-stack engineer

Inficare Technologies

Phoenix, AZ โ€ข On-site

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Role - Senior Full-Stack Engineer (Node.js / Angular / MongoDB / Camunda) - Agentic Engineering
Location - Phoenix, AZ (Hybrid)
Duration - Long Term contract
Role summary
We're looking for a seasoned full-stack engineer who will own features end-to-end and operate with an "agentic engineering" approach: independently designing, building, and delivering production systems while leveraging AI and autonomous agent patterns to accelerate development, testing, and operations. You will combine traditional engineering (Node.js backend, Angular front end, MongoDB, Camunda workflows) with LLMs, tool integration, and model ops practices to create robust, observable, and secure solutions.
What you'll do (responsibilities)
- Independently drive end-to-end delivery of features and products: requirements โ†’ architecture โ†’ implementation โ†’ testing โ†’ deployment โ†’ monitoring โ†’ iteration.
- Use AI/LLM capabilities and agentic patterns to accelerate design, coding, test generation, documentation, and troubleshooting while ensuring human oversight, correctness, and security.
- Design and implement scalable RESTful APIs and microservices in Node.js (Express, NestJS, or similar) with production-quality CI/CD, observability, and automated testing.
- Build responsive, accessible Angular applications with component architecture, state management, routing, and automated tests.
- Model, implement, and optimize MongoDB schemas, aggregation pipelines, and indexing strategies; design for performance, backup/restore, and scaling.
- Design and implement business processes and long-running workflows in Camunda (BPMN), integrating timers, DMN decision tables, and external workers.
- Integrate LLMs and agent frameworks where appropriate: RAG (retrieval-augmented generation), tool invocation, structured outputs (JSON), and safe fallbacks for critical paths.
- Implement model orchestration and model ops practices: prompt/version management, testing/validation, A/B or shadow testing, telemetry, drift detection, and rollbacks.
- Build automation that uses autonomous agents for routine tasks (test scaffolding, codegen, data exploration) while ensuring review gates and traceability.
- Ensure security, privacy, and compliance of AI-powered features: input/output filtering, PII management, access control, and model usage auditing.
- Own CI/CD pipelines and deployment automation; containerization (Docker) and Kubernetes orchestration for services and workers.
- Mentor engineers and evangelize safe, effective use of AI-assisted development across the team.
- Maintain clear technical documentation: API specs (OpenAPI/Swagger), BPMN diagrams, data models, model/agent runbooks, and acceptance criteria.
Required qualifications
- 6+ years of professional software engineering experience with proven full-stack delivery.
- Strong Node.js experience and modern backend design (async patterns, testing, API design).
- Strong Angular experience for building production UIs (components, RxJS, forms, testing).
- Hands-on MongoDB experience: schema design, aggregation framework, indexing, replication/sharding fundamentals.
- Practical Camunda (or equivalent BPMN engine) experience: modeling flows, external workers, timers, and DMN.
- Demonstrated experience using LLMs and AI tooling in production (prompt engineering, RAG, tool integration, or agent frameworks).
- Familiarity with model ops: versioning, testing, monitoring, telemetry for model/service behavior.
- Experience designing agentic or automation workflows while ensuring human-in-the-loop controls and auditability.
- Experience with CI/CD, containerization (Docker), and orchestration (Kubernetes desirable).
- Test-first mindset and experience with unit, integration, and E2E testing frameworks.
- Strong understanding of security best practices (auth/authorization, secrets management, OWASP) and data privacy for AI workloads.
- Excellent written and verbal communication; able to write technical specs and explain AI/agent tradeoffs to stakeholders.
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Behavioral / Team fit
- Autonomous and outcome-driven: comfortable working solo to deliver complex features with minimal oversight.
- Pragmatic about risk: balances AI augmentation with rigorous validation, safety, and human oversight.
- Collaborative: communicates clearly with product, design, security, and operations.
- Mentorship mindset: shares best practices and supports teammates in adopting agentic tools responsibly.