Top Remote Software Engineer Jobs in Raleigh, NC

Design, implement, and ship full-stack AI-powered applications on Unframe's platform. Collaborate with customers and internal teams to extend platform UI/UX, integrate AI capabilities, and deliver clean, tested, production-ready features.

Build and maintain Doowii's core product: front-end interfaces and UX for data querying, backend APIs and cloud infrastructure, real-time data interaction and optimized data models, ingestion pipelines (NiFi->Kafka->Iceberg->BigQuery), and model evaluation/LLM-driven features to deliver accurate, performant conversational analytics for education.

Design and deliver scalable control-plane and management services for Azure Storage at hyperscale. Lead architecture, reliability, and performance work for storage platforms that support AI workloads, adopt AI-assisted engineering practices, and own system health, incident response, and long-term technical roadmaps.

The Senior Software Engineer will design, optimize, and maintain foundational services and SDKs for Speechify, collaborating on cross-platform solutions while ensuring simplicity and efficiency in system design.

Design, build, ship, and own high-scale, user-facing product features across frontend, backend, and data systems. Define problems, scope and prioritize work, collaborate with Product, monitor production usage, debug incidents, improve reliability, review code, and mentor engineers. The role requires strong backend expertise alongside React proficiency and ownership from product discovery through long-term maintenance.

Design and deliver scalable, secure, and maintainable software systems. Contribute to architecture, build CI/CD pipelines, design distributed systems and APIs, mentor engineers, collaborate with product and design, and improve observability, performance, and operational reliability across teams.

Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.

Design, develop, test, deploy, and support ServiceNow-based solutions and integrations. Troubleshoot production issues, participate in upgrades and release activities, create technical documentation, and collaborate with product managers, architects, cybersecurity teams, and stakeholders in a global Agile environment. Support Qualtrics and enterprise translation integrations and improve automation and user experience.

Design and implement scalable first-mile networking solutions for Microsoft 365 Substrate and COSMIC. Drive design, dependency identification, coding, optimization, debugging, and on-call monitoring. Analyze production telemetry to improve reliability, performance, and observability. Act as a DRI, lead design and release plans, and collaborate with stakeholders to meet product requirements at global scale.

Design, implement, debug, and ship features for Azure Storage front end at cloud scale. Drive design, dependency identification, automation, reliability, observability, and on-call incident response while collaborating with stakeholders and mentoring engineers.

Designs, develops, and maintains automated test frameworks and suites for complex API and web applications. Tests software functionality, performance, scalability, and database integrations; debugs defects and verifies fixes. Collaborates with engineering, QA, product, and cross-functional teams on test strategy, code reviews, sprint planning, and root-cause analysis. Contributes to CI/CD automation and creates test plans, cases, procedures, and reports.

The Open Source Engineer will expand LanceDB's integration with big data systems, manage dataset operations, and enhance open-source community efforts.

Lead design, automation, and operation of a scalable, secure Linux platform across physical, virtual, and cloud environments. Build IaC, provisioning, patching, security hardening, and lifecycle automation. Deploy and operate cloud infrastructure, integrate hybrid environments, and collaborate with engineering teams to improve platform reliability and maintainability.

Leads software design, development, debugging, testing, deployment, and production support for web applications. Conducts code reviews, builds reusable code, improves legacy systems, monitors system health, optimizes performance, and responds to on-call incidents. Collaborates with engineering, product, design, customers, and vendors; mentors junior engineers; maintains development standards; and champions API-first development. Requires full-stack experience, cloud-native application deployment, database expertise, REST APIs, testing, and AI-assisted development workflows.

Develop and maintain high-scale JavaScript and TypeScript monetization solutions using Prebid.js, Prebid Server, and Google Ad Manager. Own the header bidding wrapper, integrate auction and ad-tech standards, optimize Core Web Vitals and client-side performance, operate Google Cloud services, review code, document architecture, and resolve production issues.

Lead frontend development for a satellite-data monitoring application serving defense and intelligence customers. Design and implement React and TypeScript features, guide frontend architecture, contribute to backend APIs, mentor engineers through reviews and technical discussions, and collaborate with product managers and designers. Own feature delivery from discovery through deployment while improving state management, data fetching, component design, testing, and frontend best practices.

Architect and develop foundational edge-computing runtime and integration platforms for connected-home devices. Build software models for device, spatial, and occupancy data; prototype and productionize new concepts; evaluate architectures; and provide technical leadership through design reviews, coding standards, mentoring, and cross-functional collaboration. The role spans edge computing, IoT, distributed systems, embedded environments, intelligent agents, networking, and secure systems within an exploratory R&D organization.

Design, implement, and maintain scalable backend systems supporting Alpaca’s financial ledger and brokerage infrastructure. Own high-visibility features from design through deployment, collaborate with finance, operations, product, and engineering stakeholders, and improve system health. Build performant, reliable, maintainable services using modern distributed systems technologies while ensuring the ledger remains a correct source of truth for account transactions, reporting, and compliance.

Owner of core clinical backend systems: design and build TypeScript/Nest.js APIs, model clinical domains in PostgreSQL/Prisma, implement onboarding/migration flows, ensure CI/CD, monitoring, HIPAA/SOC2 readiness, collaborate with clinical stakeholders, and build monitoring/reporting with Sentry/Datadog on AWS.

Design, implement, and operate core components of Azure Storage, focusing on metadata and data services for a hyperscale distributed file system. Build reliable, durable, and cost-efficient storage platforms using DPUs, optimize OS and networking (TCP/RDMA), participate in design, on-call DRI duties, and drive reliability and performance improvements.

Design, develop, and operate distributed services for Azure Storage geo-replication. Improve durability, regional resiliency, failover readiness and disaster recovery. Collaborate across teams, analyze telemetry, diagnose production issues, act as a DRI, and leverage AI-assisted engineering tools to improve productivity and reliability.

Design and deliver large-scale, cloud-native and AI-enabled Kubernetes/AKS solutions. Implement, optimize, and maintain Kubernetes components and container orchestration across Azure, on-prem, and edge. Integrate AI capabilities, participate in on-call rotations, mentor engineers, and collaborate cross-functionally to improve reliability, observability, performance, and operational consistency at scale.

Design and deliver distributed storage systems for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, and innovations in scalability, performance, security, and efficiency. Collaborate with AI researchers and cloud infrastructure engineers, mentor engineers, and guide technical strategy for high-availability, durable, high-performance storage supporting training and inference.

Design and operate large-scale, AI-native cloud infrastructure (especially Kubernetes/AKS). Improve service quality, automate incident prevention/remediation, accelerate engineering productivity, and integrate AI tools into development workflows.

Develop, test, and maintain web applications across the full application lifecycle. Write clean object-oriented code, implement REST APIs, work with relational and NoSQL databases, deploy to cloud-native infrastructure, participate in Agile teams, support production systems (on-call), and create automated tests for reliability and performance.