Top Software Engineer Jobs in Phoenix – Mesa – Scottsdale, AZ

Develop, test, and ship features for patient-facing applications, booking systems, clinical operations tools, and internal platforms. Collaborate with senior engineers on implementation, code reviews, debugging, troubleshooting, and automation for scheduling and patient engagement workflows. Build foundational experience with mobile applications, healthcare data systems, APIs, databases, version control, and production software while contributing to a collaborative engineering team.

Maintain and enhance enterprise Java applications, resolve defects, monitor performance, and support migration to a modernized system. Develop Java applications and APIs, perform data conversion and integration, and optimize Oracle SQL queries, procedures, and database structures. Collaborate with technical stakeholders, troubleshoot system issues, and document technical changes. Preferred experience includes AI-assisted development tools and dashboard platforms such as Power BI or Tableau.

Build and scale full-stack web applications, backend services, APIs, and distributed systems. Develop React and TypeScript frontends, backend services with Python, Node.js, or Go, and cloud-native applications using AWS, Docker, and Kubernetes. Work with databases, Kafka, AI/ML integrations, automated testing, security, and performance optimization. Collaborate with product, design, and engineering teams while troubleshooting production issues and delivering reliable software.

Design, build, and deliver front-end features with strong UX focus. Own technical design, coding, testing, deployment, and monitoring in a continuous delivery, microservices environment. Collaborate with Product, implement automated QA practices, and contribute to production deployments while practicing robust testing methodologies.

Develop and optimize Firefox performance across Windows, Android, Linux, and macOS. Write code, tests, prototypes, and tooling; profile and diagnose bottlenecks; improve benchmarks; and lead performance initiatives. Collaborate across engineering teams, educate developers, drive projects to completion, own browser performance areas, and contribute to the team’s technical roadmap.

Own developer-experience workflows from discovery through adoption, acting as product manager, designer, and engineer. Build internal tools including TypeScript and React interfaces, backend services, APIs, CLIs, CI/CD integrations, and AI-enabled workflows. Conduct user research, define product scope, design experiences, ship software, measure adoption, and drive rollout. Candidates need 5+ years of software engineering experience and experience building developer-facing products.

Hands-on fellowship for university students and recent graduates interested in AI, backend engineering, cloud infrastructure, and software delivery. Fellows may research technology trends, build internal tools and automation workflows, explore LLM-powered agents, prototype backend or cloud solutions, and prepare technical documentation and client-readiness materials. The role emphasizes ownership, reliability, clear technical communication, and practical project experience.

Build and ship customer-facing transaction features end to end, including APIs, data models, pipelines, integrations, and user interfaces. Collaborate with product and design teams, contribute high-quality code, drive technical discussions, identify risks, and deliver production systems using a modern Python stack.

Build and scale backend systems, APIs, infrastructure, and applications for multimodal sensing and AI intelligence platforms. Responsibilities include processing sensor, audio, video, and environmental data; supporting data pipelines and model inference; ensuring reliability, scalability, and data integrity; and contributing to engineering standards and long-term technical strategy.

Build and deliver AI-powered healthcare products using React, Node.js, Python, and modern full-stack technologies. Partner with customers, designers, researchers, and product teams to understand workflow needs, design intuitive AI experiences, and own features from ideation through deployment, optimization, and scaling. The role requires strong product instincts, end-to-end software engineering ownership, and experience building production-grade applications.