Top Software Engineer Jobs in Phoenix, AZ

Test vendor-released enhancements, validate requirements, configure vendor UI, develop C# bridges and ASP.NET integrations, write stored procedures/SQL and XML/XSLT transformations, design reports with Crystal/SSRS, and script/migrate legacy SQL Server data. Communicate with vendor teams and agency staff and support IIS application deployments.

Onsite Senior Software Engineer in Phoenix responsible for full-lifecycle application development (60%), fixing and enhancing existing applications (30%), and miscellaneous tasks (10%). Must clear background check and be a local, authorized U.S. worker.

Maintain and support web-deployed Oracle Forms and Reports applications; troubleshoot production issues; develop SQL/PLSQL for analysis and cleanup; collaborate with engineers, BAs, QA and PMs; use JIRA and SVN; estimate effort and assist with releases and status reporting.

The Software Engineer will develop web-based systems, gather requirements, design solutions, optimize code, and ensure software quality through testing and documentation.

Design, develop, and implement enterprise software. Analyze requirements and user stories, track work in Jira, write and test code, build integrations across UI, middleware, and backend, perform system and regression testing with JMeter/Insomnia/Postman, and deploy applications using Topaz and ServiceNow. Coordinate technical delivery and travel to US job sites as needed.

Develop and deliver complex mobile features for enterprise payments using Flutter/Dart. Design and maintain architecture, automated test suites, and CI/CD pipelines. Mentor engineers, perform spikes/proofs-of-concept, automate releases, and ensure solutions meet functional, non-functional, and compliance requirements for point-of-sale and payment integrations.

Design, build, and support secure, scalable software systems. Lead components from planning through deployment, collaborate on scoping and testing, debug production issues, write clean tests and documentation, build internal automation, and mentor teammates while promoting technical excellence.

Own full-stack product development for a fleet management SaaS platform, from frontend experiences and Node.js/TypeScript APIs through databases, infrastructure, integrations, and production support. Design scalable systems, optimize performance, resolve incidents, improve reliability, and build AI-powered capabilities. Use coding agents responsibly, evaluate AI functionality, mentor engineers, conduct rigorous reviews, and collaborate with Product, QA, Support, and engineering teams.

Design, develop, debug, test, document, and support full-stack web and mobile applications using cloud platforms and service-driven architectures. Build secure RESTful APIs, enterprise applications, integrations, and automation tools. Participate throughout the software development lifecycle, including code reviews, validation, vulnerability management, continuous integration, and deployment. Collaborate with product, Scrum, internal, external, client, industry, and government teams to deliver technology solutions for transportation and connected services.

Build production full-stack features and quality infrastructure for AI-generated code, including automated testing, evaluation frameworks, CI/CD quality gates, observability, release criteria, and security guardrails. Use AI coding agents while validating correctness, performance, maintainability, and privacy. Develop scalable services for travel and rewards platforms, protect member trust, and promote AI-assisted engineering quality practices across teams.

Lead design and implementation of wireless communication systems, optimize performance, integrate modems, and mentor engineers to enhance real-time communication in public safety devices.

Design, develop, test, validate, and maintain scalable software across multiple layers for Intel manufacturing systems. Collaborate cross-functionally on requirements and technical challenges, apply object-oriented design and secure coding practices, debug and perform root-cause analysis, and document software designs and procedures. Build reliable enterprise software that meets performance, scalability, security, and availability requirements.

Lead technical direction across multiple products and platforms while building shared AI, data, quality, and testing infrastructure. Define standards for AI-generated code, MCP integrations, responsible AI, security, and cloud-native modernization. Architect evaluation frameworks, regression systems, guardrails, and automated quality gates. Make build-versus-buy and high-stakes architectural decisions, establish operating rhythms and release criteria, mentor senior engineers, and communicate complex technical concepts to executives and partners.

Design, build, and maintain blockchain and payments infrastructure; develop scalable microservices and secure RESTful APIs to transfer value across blockchain and banking protocols; integrate with banks and fintech; own system design, testing, deployment, and troubleshooting; ensure reliability, code quality, and strong test coverage while collaborating with product and engineering teams.

Design, develop, test, and maintain scalable software applications and APIs. Use AI-assisted coding tools to improve productivity, debugging, documentation, code quality, and problem-solving. Collaborate with product, QA, and data teams; participate in code reviews, system design, and technical planning. Troubleshoot issues, optimize performance, contribute to CI/CD and automation initiatives, and stay current with AI development tools and software engineering practices.

Designs and delivers enterprise-grade AI-first full stack applications for Master Data Management. Develops Java backends, React or Angular frontends, REST APIs, microservices, data models, and integrations. Leads architecture, debugging, testing, performance, scalability, code reviews, Agile ceremonies, and technical direction. Uses and evaluates AI coding tools, mentors junior engineers, and collaborates with product, UX, QA, and platform teams.

Lead technical direction for AI infrastructure, data platforms, shared services, and agentic engineering practices while remaining hands-on. Architect secure MCP integrations, establish AI quality gates, evaluation frameworks, SLOs, and responsible-AI standards. Guide build-versus-buy decisions, modernize legacy systems, improve cloud-native scalability, and safeguard sensitive member data. Mentor senior engineers and communicate complex architecture and AI concepts to executives and cross-functional partners.

Lead the technical direction of Android mobile application development, including architecture, mentoring, implementation, backend integrations, offline-first capabilities, hardware support, CI/CD, release processes, and engineering standards. The role also supports robotics-enabled public safety solutions involving drones and body-worn cameras, while collaborating with internal and external partners and driving innovation and quality.

Design, build, and operate a production AIOps agent platform for event observation, diagnosis, recommendations, and controlled automated actions. Develop agent runtimes, tool interfaces, event routing, telemetry, auditability, evaluation systems, feedback mechanisms, and operator experiences. Establish safety guardrails, approvals, permissions, rollback controls, and reliability standards. Collaborate across engineering, operations, security, risk, and compliance to deliver scalable, explainable, and regulated production capabilities.

Leads enterprise infrastructure automation strategy and hands-on engineering across Terraform, Ansible, policy-as-code, AWS, Kubernetes, and cloud/on-premises environments. Defines secure modules, governance, testing, release processes, identity controls, compliance automation, and self-service platform capabilities. Serves as technical authority for infrastructure-as-code architecture, audits, and regulatory controls while influencing engineering standards, mentoring engineers, and driving adoption across multiple organizations.

Develop and maintain Java-based applications using Spring, web services, JSP/Servlets, and application servers. Lead small teams, collaborate with offshore resources, participate in requirements analysis, estimation, code reviews, and configuration management across SDLC (Waterfall/Agile).

Develop and design enterprise-grade, highly scalable Java-based applications and microservices using Spring, REST, JPA/MyBatis, CI/CD tools and cloud infrastructure. Participate in Agile teams, contribute to architecture and testing, and support global delivery across stakeholders.

Lead the design and development of robotic automation systems in manufacturing, collaborate with teams, integrate software and hardware, and improve robotic systems.

Design, build, test, deploy, and maintain production software and AWS-based services. Implement infrastructure-as-code and CI/CD, apply cloud security and observability practices, troubleshoot multi-layer issues, mentor engineers, and participate in architecture and delivery planning.

Design, develop, test, document, and maintain software applications. Act as technical lead across full development lifecycle, perform code reviews, troubleshoot production issues, support UAT/production, mentor engineers, and implement automated testing and deployment practices.