Top Remote Software Engineer Jobs in Raleigh, NC

Technical leader for Android-native POS and handheld apps: define architecture and roadmap, ensure offline-first reliability and performance, lead cross-team initiatives (modularization, Room/SQLite, Jetpack Compose), mentor engineers, improve CI/CD and observability, and write production code for high-scale hospitality workflows and integrations.

Design, develop, and implement digital solutions by architecting systems, writing and reviewing code, integrating components, testing and debugging, participating in agile delivery, and maintaining documentation. Drive scalability, performance, monitoring, CI/CD, and explore new tools; travel ~10% for on-sites and events.

Work across the full stack on Higharcs Estimate product: optimize queries, build React UI components and frontend state, write e2e tests, integrate external APIs, and occasionally work with CAD/geometry. Own projects end-to-end, maintain code quality through tests and reviews, and collaborate cross-functionally to deliver high-impact features.

The Senior Software Engineer will develop backend APIs, improve engineering processes, and manage product features in a remote-first environment.

The role involves leading initiatives for vector search in Elasticsearch, enhancing features, resolving bugs, and contributing to community engagements in a distributed team setting. A strong background in vector similarity and Java is crucial.

Lead design and implementation of health data products, mentor engineers, own multiple projects, and develop scalable data solutions using modern technologies.

The Senior Software Engineer will lead development, mentor engineers, and create data solutions using TypeScript, React, and Python. Responsibilities include designing applications, driving innovation, and ensuring high-quality user experiences.

Lead design and implementation of products, mentor engineers, drive innovation, and build scalable data solutions using modern tech stack.

As a Senior/Staff Software Engineer, you will design and implement products, guide other engineers, and drive innovation in health data solutions.

The role involves overseeing full-stack development, creating APIs, improving microservices, and collaborating with cross-functional teams to enhance mental health care interfaces.

The Principal Software Engineer in Test I evaluates software performance, conducts testing, optimizes efficiency, collaborates with teams, and monitors systems post-deployment.

Develop and maintain PX4 autopilot firmware for UAVs, integrating sensors and payloads, and managing testing environments. Collaborate on flight operations and system integration.

As an Embedded Software Engineer, you will design and implement software for unmanned aircraft systems, debug issues, collaborate with engineering teams, and maintain high software quality standards.

Lead development of AI-powered full-stack applications, mentor engineers, define technical direction, build performant front-end and scalable backend services, integrate LLMs/RAG, and establish engineering best practices for production AI workflows.

The Senior Software Engineer is responsible for developing, testing, and maintaining SkySlope software. This role requires collaboration, innovation, and continuous learning with a focus on quality and delivery of software projects.

The Senior Software Development Engineer will develop applications using modern programming languages, provide leadership and mentoring, ensure software quality, and lead software improvement initiatives.

As a Senior Software Engineer, you will lead full stack projects, design scalable systems, mentor engineers, and ensure high-quality code delivery while driving team alignment and managing processes.

The staff software engineer will lead technical design, develop AWS microservices and automation solutions, and mentor team members.

Lead technical vision and architecture for Dockers Developer Tools: build a self-service internal platform, CI/CD and build systems, integrate AI/LLM agents, set SDLC tenets, establish standards for observability, security, reliability, and productize internal tooling into customer offerings.

Lead cloud FinOps initiatives to increase cost transparency and optimize resource utilization across teams. Mentor engineers on cost best practices, implement cost-saving measures, troubleshoot complex infrastructure issues, develop automation workflows, and influence cost-effective architectural decisions with cross-functional partners.

Design, develop, and maintain scalable, secure backend services and APIs for a healthcare caregiver platform. Drive cloud-native modernization (microservices, serverless), ensure compliance (HIPAA, OWASP), troubleshoot production issues, optimize performance, mentor junior engineers, and collaborate with product and architecture teams to deliver reliable, high-performing solutions.

Design, implement, and operate core services for Docker's Cloud Sandboxes platform. Build scalable microVM orchestration, workload scheduling, and lifecycle systems. Develop high-performance APIs and control plane components, ensure reliability, observability, and security, collaborate cross-functionally, improve CI/CD, and participate in on-call incident response and architectural design.

Own and build full‑stack, growth-focused product experiences across the funnel (acquisition, activation, retention, monetization). Ship experiments, measure outcomes with analytics, iterate, and establish reusable infrastructure while collaborating with product, design, and data teams. Drive technical execution and lead end-to-end growth initiatives in a remote, product-led SaaS environment.

Lead design, develop, and maintain scalable full-stack web applications. Mentor engineers, perform code reviews, troubleshoot production incidents, optimize performance, ensure API-first design, support cloud-native deployments (Kubernetes), and participate in on-call rotations.

Provide expert software engineering to improve and optimize codebases used for AI training: bug fixes, feature development, refactoring, performance tuning, architecture recommendations, documentation, and cross-functional collaboration to support scalable AI training workflows.