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Junior Backend Software Engineer Jobs in Arizona

Experience building backend services using languages such as C#, Python, or similar * Understanding of software engineering disciplines and the ability to work across multiple layers of the ...

Java Software Engineer

Phoenix, AZ · On-site

$51.50 - $70.50/hr

Mentor junior engineers and contribute to technical leadership. * Participate in code reviews and ... Strong experience in Java (/17+) and backend development. * Hands-on experience building complex ...

Job Summary Exquisite Software is looking for an experienced software development engineer ... back-end systems. Benefits * Health Care Options * 401k Matching and Retirement Savings Plans

We're hiring a Senior Software Engineer, Backend to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our ...

Design and code middle and back-end in a clean and efficient way. * Implement scalable and robust ... Bachelors degree in Software Engineering, Information Technology or related field * Between 1 and 3 ...

Backend engineering experience, ideally with Go or the ability to ramp quickly in Go. * Experience ... debug software. * SQL and relational data modeling fundamentals, ideally with PostgreSQL.

Backend engineering experience, ideally with Go or the ability to ramp quickly in Go. * Experience ... debug software. * SQL and relational data modeling fundamentals, ideally with PostgreSQL.

Software Engineer, Backend

Phoenix, AZ · On-site

$155K - $222K/yr

Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in Rust, Scala, Python.

Software Engineer, Backend

Tempe, AZ · On-site

$155K - $222K/yr

Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in Rust, Scala, Python.

Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in Rust, Scala, Python.

Software Engineer

Phoenix, AZ · Remote

$110K - $135K/yr

Design and code middle and back-end in a clean and efficient way. * Implement scalable and robust ... Bachelor's degree in Software Engineering, Information Technology or related field * Between 1 and ...

Lead design and implementation of complex systems across frontend, backend, and infrastructure ... Mentor mid-level and junior engineers in technical skills and engineering judgment. * Provide ...

We're hiring a Senior Software Engineer, Backend to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our ...

Senior Software Engineer, Backend

Tempe, AZ · On-site

$158.40 - $207.90/hr

We're hiring a Senior Software Engineer, Backend to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our ...

We're hiring a Senior Software Engineer, Backend to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our ...

Showing results 21-40

Junior Backend Software Engineer information

What are the key skills and qualifications needed to thrive as a junior backend software engineer, and why are they important?

A Junior Backend Software Engineer should have a solid understanding of programming languages like Java, Python, or Node.js, as well as knowledge of data structures, algorithms, and basic database management. Familiarity with frameworks (such as Spring or Django), RESTful APIs, version control systems like Git, and cloud platforms is often required. Strong problem-solving abilities, attention to detail, and effective communication help junior engineers collaborate and learn within development teams. These skills ensure code quality, system reliability, and growth in a fast-paced technical environment.

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

Junior Backend Software Engineers often encounter challenges such as understanding and adapting to large, existing codebases, navigating code review processes, and learning to write efficient, maintainable code that meets team standards. Collaboration with frontend developers and DevOps teams can also be new, requiring effective communication to ensure seamless integration. Overcoming these challenges typically involves asking questions, seeking mentorship, and dedicating time to continuous learning and documentation review.

What does a junior backend software engineer do?

A Junior Backend Software Engineer is responsible for developing and maintaining the server-side logic and databases that power web applications. They typically work with programming languages like Python, Java, or Node.js, and collaborate closely with frontend developers, QA engineers, and product teams to ensure seamless data flow and application performance. Their tasks often include writing APIs, managing databases, debugging code, and learning best practices for code efficiency and security. As juniors, they are also expected to learn from senior engineers and gradually take on more complex responsibilities as they gain experience.
What are the most commonly searched types of Backend Software Engineer jobs in Arizona? The most popular types of Backend Software Engineer jobs in Arizona are:
What job categories do people searching Junior Backend Software Engineer jobs in Arizona look for? The top searched job categories for Junior Backend Software Engineer jobs in Arizona are:
What cities in Arizona are hiring for Junior Backend Software Engineer jobs? Cities in Arizona with the most Junior Backend Software Engineer job openings:

Software Engineer

Relativity

Phoenix, AZ • On-site

Other

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting