Top Remote Software Engineer Jobs in Raleigh-Durham, NC

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.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Build polished consumer-facing web and mobile experiences, primarily developing React Native features while maintaining native iOS and Android applications. Collaborate with product and design to turn feedback into shippable improvements. Work across APIs, native integrations, analytics, media, debugging, and existing Swift and Kotlin codebases. Develop with React, TypeScript, Next.js, and modern web technologies while addressing real-device performance, navigation, gestures, responsiveness, and platform-specific issues.

Leads software engineering strategy, modernization, architecture, governance, and delivery across the Digital Solutions Division. Oversees enterprise-scale cloud and SaaS platforms, Agile and DevOps practices, security, reliability, and technology transformation initiatives including AI adoption. Manages engineering teams through hiring, coaching, performance development, and organizational change. Partners with product, sales, marketing, infrastructure, security, operations, customers, and vendors while managing budgets, ROI analyses, and technology investments.

Lead development of full-stack CRM integrations and cloud-native services across Salesforce, ServiceNow, Zendesk, telephony providers, and AWS. Build scalable UIs, REST APIs, event-driven systems, automated tests, and infrastructure. Improve reliability, performance, monitoring, alerting, and incident response while participating in on-call operations. Influence architecture, review code, mentor engineers, troubleshoot production incidents, and apply AI-assisted development practices responsibly.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Build scalable backend services, APIs, workflow orchestration, integrations, and AI agent infrastructure for enterprise procurement, invoicing, contracts, and payments. Develop agent runtimes, multi-agent coordination, observability, evaluation, and testing systems. Ensure reliability, security, compliance, auditability, performance, and fault tolerance across distributed systems handling sensitive financial and operational data.

Develop and maintain features for a podcast subscription platform using PHP and Laravel. Scale the application, support user and administrator experiences, build website embeds and third-party integrations, and help apply AI tools to accelerate development and improve code quality and security. Collaborate within a small, Agile-oriented remote team while evaluating technologies and influencing the evolving product stack.

Lead the design, delivery, and production adoption of integrations-platform features, including SDKs, agents, job pipelines, developer tooling, and related services. Drive AI-enabled integration authoring, reliability, scalability, observability, and cross-platform support. Partner across product, platform, and customer teams to translate needs into technical solutions while providing architectural leadership, mentorship, and hands-on guidance across distributed systems and workflow orchestration.