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

Leads engineering support and architecture for enterprise-scale healthcare data platforms on Azure. Designs Databricks, Synapse, Data Factory, and Data Lake solutions; builds batch and real-time pipelines, analytical data models, BI solutions, and automated data quality frameworks. Implements machine learning and AI-assisted development, integrates low-code systems, ensures HIPAA compliance, and translates business needs into technical solutions. Mentors engineers, resolves technical issues, supports Agile delivery, and partners with healthcare business leaders on Medicare and Medicaid analytics initiatives.

Lead technical design and delivery of scalable full-stack applications while remaining hands-on with backend systems, workflow orchestration, event-driven architectures, microservices, and APIs. Mentor engineers, guide technical direction, and own engineering outcomes across cloud-based applications and CI/CD pipelines.

Lead Unity architecture and build persistent, multi-user spatial systems for mobile and wearables. Design spatial persistence, synchronization, AI-assisted content pipelines, and define long-term platform direction as a founding technical contributor.

Work on front-end and back-end web projects: create and redesign websites, build sitemaps and wireframes, collaborate with teams, and focus on UI/UX and performant back-end functionality.

Design and build robust backend services and secure APIs for finance and reader applications. Implement authentication, payments, subscriptions, and finance workflows. Design Postgres/Redis schemas, integrate with financial APIs (BSE Star MF, NSE) and DRM services, and ensure compliance-friendly data handling.

Build and ship P-1 AI’s core product platform for Archie, an AI engineering agent. Own end-to-end features spanning architecture, backend, frontend, deployment, and reliability. Collaborate with AI researchers, forward-deployed engineers, founders, and customers to rapidly prototype, launch, and refine product concepts. Establish advanced AI-assisted development practices and continuously improve engineering workflows, product quality, and delivery speed.

Build and validate AI-native tooling for utility power-engineering and go-to-market teams. The role combines customer discovery, workflow analysis, Python and SQL development, data investigation, prototypes, integrations, debugging, and production-quality software. You will partner with Product and Engineering, dogfood tools on live customer problems, define requirements and quality standards, lead rollout and adoption, train users, and establish the company’s forward-deployed engineering operating model. Regular customer and U.S. team travel is required.

Designs, develops, tests, deploys, and optimizes customized Salesforce solutions using Apex, Visualforce, Lightning Web Components, declarative Flows, and integrations. Collaborates with stakeholders to translate requirements into scalable solutions, leads technical standards and code reviews, manages testing and CI/CD deployments, documents implementations, and supports Salesforce platform improvements. The role requires expertise across Salesforce clouds and CPQ, including Partner Community quoting integrations.

Own frontend architecture for multi-tenant applications serving internal, customer, and partner audiences. Build React and TypeScript interfaces, shared component libraries, theming and branding systems, accessible user experiences, and integrations with governed APIs. Establish engineering standards, document technical decisions, navigate open architecture questions, and support workflows ranging from immediate interactions to longer approval processes involving sensitive or regulated data.

Own AssemblyAI’s go-to-market technology stack, including Salesforce, enrichment, outbound automation, routing, scoring, and AI agents. Build production automations, integrations, internal tools, and AI workflows for prospecting, research, personalization, and lead scoring. Convert product usage data into actionable sales signals, automate account targeting, maintain clean funnel data, and partner with Sales and Marketing leadership to improve pipeline and revenue operations.