Top Remote Software Engineer Jobs in Dallas-Fort Worth, TX

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.

Maintain and enhance a Salesforce Service Cloud instance supporting a state unemployment insurance call center. Configure Service Cloud, develop Apex, Lightning Web Components, Flows, reports, and dashboards, and manage sandbox-to-production deployments with Copado. Provide warranty support, analyze and remediate defects, and lead knowledge transfer and pairing sessions to build the client technical team’s independence.

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.

Own customer deployments for Cassi by mapping operating-company workflows, building integrations and ETL pipelines, developing custom automations, and ensuring reliable live operations. The role combines hands-on TypeScript and Node.js engineering with customer-facing implementation, debugging, data reconciliation, incident response, and product feedback. This founding engineer will define the forward-deployment function, determine which solutions should become core product capabilities, and potentially build the future team.

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.

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.