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

Build and scale MongoDB Atlas Agent Engine, including its developer CLI, SDKs, runtime, memory, retrieval, identity, governance, and distributed systems layers. Design well-tested, reliable, high-performance software; contribute to architecture, code reviews, developer experience, and engineering practices. Collaborate across research, product, design, and engineering teams, own complex projects, mentor engineers, and help evolve the platform for production-scale AI agents.

Leads the engineering team building Circle’s customer onboarding and lifecycle management platform. Responsibilities include developing scalable onboarding automation, customer lifecycle capabilities, partner-facing APIs and SDKs, compliance tools, and product-specific verification workflows. The role owns architecture, reliability, security, operational excellence, cross-functional delivery, hiring, coaching, and development of senior and staff engineers across risk, compliance, fraud, product, and engineering teams.

Leads technical vision and architecture for customer resiliency systems. Designs scalable, operable solutions; modernizes monoliths into microservices and event-driven platforms; establishes API and engineering standards; and contributes hands-on across the software lifecycle. Collaborates with senior leaders, mentors engineers, drives cross-divisional initiatives, promotes engineering excellence, and advises on enterprise architecture, cloud computing, data architecture, performance, and scalability.

Leads optimization and enhancement of ServiceNow HRSD and Employee Relations capabilities. Configures Virtual Agent, workflows, scripts, portals, integrations, and Employee Center components, including PeopleSoft HCM 9.2 integrations. Gathers stakeholder requirements, oversees testing and deployments, supports production issues, and develops the HRSD roadmap. Partners with enterprise ServiceNow and IT teams on governance, security, architecture, automation, and platform standards.

Own end-to-end commercial navigation features for fleet customers across mobile, backend, and web platforms. Build reliable, tested, observable software for challenging conditions such as poor connectivity and changing routes. Collaborate with product, design, Maps, Telematics, and customer-facing teams to define priorities, success metrics, and tradeoffs. Ship and maintain customer-facing experiences, with opportunities to use React Native, Swift, Kotlin, geospatial technologies, and AI-assisted development tools.

Deploy and integrate Shield AIs Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and documentation. Collaborate with sales and product engineering to support pre- and post-sales activities and improve autonomy products.

Build and maintain cross-platform Flutter applications for iOS and Android. Responsibilities include implementing state management, integrating RESTful APIs and external services, troubleshooting bugs, optimizing performance, reliability, security, and user experience, and managing app store deployments. The role involves collaborating in an agile team, contributing proactively to product decisions, and continuously improving mobile applications.

Contribute to modernization and technical-debt reduction efforts, implement and test features, participate in code reviews, follow CI/CD and Agile practices, and collaborate with senior engineers while learning cloud and security practices.

Own backend engineering goals for Consumer Engineering, lead delivery of scalable systems, collaborate with product, design, and analytics, improve reliability and code quality, resolve technical and business issues, support on-call operations, and mentor engineers.

Own quarterly engineering goals, lead backend engineers through ambiguous problems, collaborate with product and analytics partners, improve system reliability and availability, monitor operational metrics, establish quality standards, and mentor team members. The role requires designing and launching highly available distributed backend systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes, while driving technical planning and safe changes across large codebases.

Design and evolve high-scale backend capabilities for GitLab’s container registry. Drive architecture, performance, reliability, security, APIs, testing, and operational readiness. Mentor engineers, influence technical direction, participate in incident response, and collaborate asynchronously across product, infrastructure, data, frontend, and security teams. Integrate and evaluate agentic AI systems in production engineering workflows while promoting responsible and effective use.