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

Lead Guidewire system implementations and upgrades (Digital Portals), design and deliver Guidewire solutions, manage large projects, engage senior clients, provide strategic input, mentor teams, and ensure operational excellence and client satisfaction.

Lead and grow global engineering teams building APM agents and observability tooling. Hands-on with data analysis, OpenTelemetry, backend engineering, reliability, scalability, on-call operations, and cross-team execution to deliver production-grade distributed systems.

Lead the development of Caterpillar's ERP and Dealer Integrations. Oversee implementation, manage a team of developers, and ensure quality and performance standards are met.

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.

The Cyber AI Senior Specialty Software Engineer will design, develop, and deploy AI applications while integrating them with existing systems and resolving technical issues.

Lead complex engineering engagements, architect AI-driven systems, design application patterns, mentor teams, and act as a trusted technical advisor to clients.

Lead architecture and deployment of Siemens Teamcenter PLM and Digital Thread solutions. Drive full project lifecycle (requirements, design, development, testing, deployment), integrate Teamcenter with CAD and ERP (SAP), optimize environments, ensure security/data privacy compliance, and collaborate with engineering stakeholders while managing offshore resources.

Build, deploy, and maintain scalable microservices and REST APIs; implement unit and integration tests; consume/produce Pub/Sub events; collaborate with DevOps and business teams to ensure high-availability and data-driven decisions.

Lead design and delivery of full-stack, AI-powered products and platform capabilities. Own technically complex, mission-critical areas end-to-end, partner with product and customer teams, scale data ingestion and APIs, and mentor engineers to raise engineering quality and velocity.

Lead two engineering groups owning carrier product configuration and enrollment workflows. Set technical vision, ensure scalable event-sourced microservices, drive repeatable implementation patterns, own delivery and incident posture, build automated testing, hire and grow engineering managers, and directly drive AI adoption and cross-team interfaces with Product, Delivery, Underwriting, and Compliance.