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

Develop and maintain multi-tier applications for a payment processing platform using C#, .NET, SQL Server, Azure, and related Microsoft technologies. Translate customer and product requirements into solutions, troubleshoot issues, recommend architectural and process improvements, and serve as a platform subject matter expert. Lead or support Scrum teams, mentor junior engineers, collaborate with global stakeholders, act as a customer point of contact, and uphold Agile, QA, SOLID, and CI/CD practices.

Develop and enhance custom NetSuite warehouse management applications. Build SuiteScript 2.x solutions, support integrations (Salesforce, MuleSoft, Azure Service Bus, carrier APIs), ensure accurate inventory, fulfillment and accounting transactions, and manage code releases, testing, deployment, and issue resolution.

Leads technical strategy, architecture, and implementation for cross-border money movement and digital asset payment systems. Designs scalable distributed platforms, resolves complex technical challenges, establishes engineering standards, reviews solutions across teams, and mentors engineers. Partners with product, architecture, operations, and engineering teams to deliver secure, resilient, compliant payment capabilities. Requires extensive Java and cloud experience, payment-platform expertise, event-driven architecture knowledge, and strong technical leadership.

Leads end-to-end technical solution design for Lending and Loan Operations platforms. Designs Azure cloud-native applications and enterprise APIs, reviews engineering plans and code, builds performance dashboards, ensures security, compliance, resilience, and regulatory alignment, and mentors engineers. Partners with architecture, product, business, security, and risk stakeholders while leading platform operations, incident support, business-as-usual activities, BCDR, and compliance initiatives.

Designs, develops, deploys, and supports cloud-native applications for semiconductor manufacturing and engineering automation. Responsibilities include building microservices, APIs, Kubernetes and containerization systems, secure cloud architectures, CI/CD pipelines, infrastructure automation, and AI-enabled factory solutions. The role supports 24x7 operations through on-call rotations, incident response, and root-cause analysis, while providing technical leadership to distributed development teams.

Develops and supports USAA claims applications across the software development lifecycle. Responsibilities include designing, coding, testing, documenting, troubleshooting production issues, reviewing code, improving systems, and supporting risk and compliance controls. The role requires Java and Spring Boot experience, cloud familiarity, and collaboration across technical teams.

Lead global software engineering teams developing cloud-native SaaS applications, industrial control systems, connected software, edge-to-cloud platforms, and digital services. Own technology roadmaps, architecture, software quality, cybersecurity, and delivery across cloud, edge, embedded, and industrial environments. Drive hiring, mentoring, succession planning, Agile and DevOps practices, cross-functional collaboration, customer engagement, and integration across OT and IT systems.

Leads global software engineering teams developing cloud-native SaaS, industrial control, edge-to-cloud, connected device, analytics, and cybersecurity solutions. Owns technology roadmaps, architecture, software delivery, engineering practices, hiring, talent development, and cross-functional collaboration. Ensures scalable, reliable, interoperable, and secure platforms supporting industrial automation and digital transformation.

Leads and develops a software engineering team building Salesforce-based systems, custom services, integrations, and AI/LLM workflows for student placements. Responsibilities include hiring, coaching, architecture, code reviews, hands-on development, AI strategy and governance, platform decisions, Agile delivery, budgeting, and production support. Requires strong Java enterprise development, engineering management, application architecture, APIs, integrations, and technical leadership.

As a Research Engineer, you will integrate ML models into planning stacks, develop testing interfaces, and collaborate with teams to enhance autonomous truck capabilities.