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

The Workato Integration Architect will design and implement integrations using Workato, lead development of recipes and connectors, and collaborate with teams to define and optimize integration strategies.

Build and architect insurance and data infrastructure for eligibility, verification, and claims. Lead partner implementations to get employers, health plans, and channels live. Make technical decisions at the 0-to-1 stage, write clear documentation, maintain production systems, and use AI tools to scale impact on a fully remote team.

Design, architect, and implement cloud-first full-stack software using Java/C# and JavaScript frameworks. Provide technical leadership, mentor engineers, improve architecture and performance, promote CI and automated testing, and support customer implementation and cloud platform operations.

Build and maintain the company website, client-facing portal, and internal web apps. Design and structure web pages, implement UI enhancements, optimize performance and scalability, collaborate with backend engineers (Go), ensure brand-consistent design, and mentor teammates to drive product excellence.

Lead technical design and delivery for multiple product/platform areas: break monoliths into domain microservices, own full‑stack vertical slices, ensure production reliability, mentor engineers, run design reviews, manage on‑call/incident ownership, and co‑deliver AI agents integrated into dealer workflows.

Lead integration and data migration workstreams for SaaS implementations. Document technical requirements, estimate effort, mitigate risks, deliver secure scalable integrations, perform data imports and quality checks, mentor the implementation team, and support pre-sales as needed.

Design and deliver scalable Salesforce B2C Commerce solutions. Lead technical discovery, pre-sales solutioning, architecture, integrations, performance tuning, and mentor development teams from design through post-launch support.

Lead design, build, and operation of AI-powered product features across backend, frontend, and AI systems. Make architecture decisions, drive production deployments, improve code quality and reliability, mentor engineers, and own features end-to-end.

Build, architect, and own moderate-to-complex backend components; lead small teams or projects; provide technical guidance and code reviews; deliver end-to-end backend services focused on AI-enabled customer data insights, onboarding, messaging/calling features, and scalable data management for a growing user base.

Lead and grow a multidisciplinary engineering team across full-stack, data engineering, and BI. Own people management, technical direction (C#/.NET, SQL, Vue 3, Power BI), data pipeline reliability, roadmap delivery, cross-functional collaboration, and engineering best practices to improve velocity, quality, and health outcomes.