Top Remote Software Engineer Jobs in Raleigh, NC

Build and operate the Data Plane Platform: design and implement scalable backend services in Go, REST APIs, and distributed systems; contribute full-stack using React and TypeScript for platform management; develop and run production cloud applications on AWS/GCP; ensure reliability through testing, CI/CD, and observability; troubleshoot across code and infrastructure and drive technical ownership.

Build and maintain scalable Golang microservices powering eligibility, billing, and client APIs. Automate operational workflows, ensure data accuracy and traceability, and deliver self-service tools for finance and operations. Collaborate with data and AI teams to apply AI for validation and anomaly detection. Support cloud deployments and integrate event-driven architectures for reliable data exchange.

Develop and maintain UI integrations using VueJS, connecting front-end interfaces with back-end systems and data sources. Build responsive, high-performance features, troubleshoot issues, and write unit and integration tests. Collaborate with cross-functional teams on product development while ensuring technical feasibility, code quality, and reliability. The role also requires maintaining existing functionality, applying current UI integration practices, and contributing independently within an Agile environment.

Develop and maintain web application user interfaces using HTML, CSS, JavaScript, and modern front-end frameworks. Assist with style guides, review and debug code, and support usability, quality, and performance improvements. Collaborate with developers and designers in a fast-paced environment while gaining practical experience in UI/UX principles, responsive design, and front-end development.

Design, architect, build, and scale reliable backend systems operating at Internet scale. Develop distributed, event-driven applications; design RESTful APIs and NoSQL data solutions; deploy cloud and serverless applications; containerize services; and establish CI/CD pipelines. The role emphasizes software development best practices, testing, clean architecture, reliability, scalability, and potential Open-Source Intelligence community experience.

Join the Consumer Technology team to develop, maintain, and troubleshoot applications and test tools. Perform routine automation, white-box testing, code reviews, monitor automated processes, estimate tasks, communicate with product owners and users, and recommend improvements. Assist in training others and follow departmental methodologies.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

Develop and maintain ClickHouse Cloud interfaces and dashboards, collaborating with multi-disciplinary teams to enhance user experience and system reliability.

Develop core backend components for a blockchain network, focusing on networking, reliability, scalability, and high-quality software practices.

Develop and enhance front-end, server-side, and database applications, focusing on blockchain products while ensuring high performance and security.

Design and develop full-stack applications for controlling autonomous construction robots, including backend services and front-end interfaces. Collaborate in rapid deployment cycles.

The Software Engineer will manage data collection, operate cloud infrastructure, and collaborate with scientists to enhance AI models at Speechify.

Build and ship full‑stack web features end-to-end using React/TypeScript and Node.js. Partner with Product, Design, and Data to deliver reliable, well-tested software, set and uphold code quality, make technical decisions, and mentor others (at senior level). Own features from design through production and improve tooling, testing, and observability to increase team velocity.

The Software Engineer will build scalable backend systems, integrate third party software, and optimize performance, aiming to enhance efficiency in the moving industry.

Design and implement cloud solutions for clients, leading teams, solving technical challenges, and utilizing modern technologies like Kubernetes and AI.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

The Senior Infrastructure Engineer will manage and scale LiveKit's core infrastructure, focusing on reliability and performance, while working on Golang code and automation for distributed systems.

Design and evolve core control, data, and observability systems; implement resilient region-spanning architectures; build libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, and testing; and shape platform capabilities across identity, scheduling, observability, and distributed state management.

Design, implement, and manage LiveKit's infrastructure, focusing on performance, reliability, and automation while ensuring effective incident management and coordination with vendors.

The role involves designing and evolving core systems at LiveKit, implementing resilient architectures, and building tools to enhance system reliability and developer speed. Strong distributed systems experience and programming skills are essential.

Design, implement, and operate low-latency, highly available distributed control, data, and observability systems. Build region-spanning architectures, libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, testing, and real traffic; and shape platform capabilities around identity, scheduling, observability, and distributed state management.

Lead architecture and development for scalable document content extraction and transformation systems. Build full-stack, event-driven applications using C#/.NET, AWS, Kafka, OCR technologies, APIs, and AI services. Own initiatives from design through production, improve reliability and performance, implement observability, address technical debt, document architecture, collaborate cross-functionally, and mentor engineers.

Design, build, deploy, and run large-scale infrastructure services on NVIDIA hardware. Define SLOs and observability, automate toil, participate in on-call incident response, and consult with peer teams on systems design and reliability.

Design, develop, and optimize high-performance confidential computing solutions using CUDA. Identify and resolve performance bottlenecks through advanced CUDA programming and profiling tools. Write clean, tested, documented code and collaborate with developer services and infrastructure teams to integrate GPU-accelerated algorithms into existing systems. The role also involves building cryptographic and distributed systems supporting privacy-preserving zero-knowledge products.

Build software that productizes enterprise mortgage-lender onboarding. Responsibilities include automated tenant provisioning, configuration-as-code, environment promotion, data migration from legacy systems, reconciliation reporting, multi-tenant feature rollouts, smoke tests, conformance suites, and infrastructure or CI/CD improvements. The role spans backend, frontend, cloud infrastructure, security, reliability, and collaboration with implementation teams.