Top Remote Software Engineer Jobs in Raleigh-Durham, NC

Designs, configures, implements, and tests HL7 interfaces for GE HealthCare Perinatal Systems. Integrates hospital IT systems, collaborates with customers and vendors on interface specifications, supports multiple concurrent projects, and improves integration tools and processes. The role requires HL7 and interface-engine expertise, networking and server experience, programming capabilities, and familiarity with healthcare integration standards, cloud platforms, and project management.

Designs, develops, deploys, and supports automation solutions, scripts, API integrations, and workflows for Technology operations. Maintains production automations, troubleshoots failures, manages integrations and credentials, documents solutions, and supports technology projects, acquisitions, migrations, and onboarding. Partners with Technology teams to analyze processes, prioritize automation opportunities, develop technical designs, establish governance standards, and improve operational efficiency through scalable automation, reporting, monitoring, and continuous improvement.

Own the assessment, hardening, testing, modernization, and sustainment of a government SDN software baseline. Develop secure C++ and Python solutions, remediate vulnerabilities, improve testing, debug application and network issues, and support containerization, CI/CD, deployment, and security scanning. Collaborate with platform engineers and government stakeholders, document technical decisions, validate releases, and mentor engineers in Navy environments.

A 10-week remote summer internship program offering team placements across software engineering, data science, support, and services. Interns complete daily responsibilities and a capstone project, collaborate with experienced professionals, attend workshops and networking events, and contribute to meaningful business priorities. Candidates must be enrolled undergraduates with strong analytical and technical skills, familiarity with programming or databases, knowledge of AI tools, and effective communication and teamwork abilities.

Leads the full Computer Backup engineering organization across desktop clients and backend services. Sets technical architecture and multi-quarter delivery strategy, manages budget and organizational growth, and partners with Product and senior leadership on priorities. Oversees agile execution, software quality, reliability, testing, releases, and production support. Participates in architecture reviews, code reviews, and technical problem-solving while driving adoption of AI-assisted development practices across a distributed, remote-first team.

Lead the design and development of a scalable asynchronous replication engine for an AI data platform. Responsibilities include building multi-threaded replication pipelines, delta synchronization, secure TLS data transfer, integrity validation, failover workflows, REST APIs, metadata tracking, observability, and high-availability systems. The role also provides architectural leadership, mentorship, production troubleshooting, and collaboration with QA, security, backend, and platform teams.

Develop security patches for CVEs affecting end-of-life .NET versions and NuGet packages. Analyze upstream fixes, rebuild legacy .NET environments, maintain cross-platform toolchains, and create test harnesses for patch correctness and compatibility. Build AI-assisted automation for vulnerability triage and backporting, support customer engineering teams, and contribute to security, supply-chain, and cloud-related initiatives.

Own customer data integrations for hospital systems and suppliers. Lead technical discovery, design and operate production data pipelines, troubleshoot live integration issues, build reusable connectors, and document support processes. Partner with product and engineering teams to improve the platform while communicating risks and timelines to technical and non-technical stakeholders. The role requires strong Python and SQL skills, production integration experience, customer-facing communication, and comfort working in ambiguous environments.

Build and maintain developer tools, SDKs, CLI, MCP interfaces, integrations, and supporting backend services. Collaborate on API contracts, compatibility, testing, releases, documentation, and shared tooling. Support developers through GitHub issues and pull requests while designing reliable systems with authentication, retries, idempotency, rate limits, monitoring, and error recovery.

Build and operate large-scale data pipelines processing terabytes of security intelligence on AWS. Develop Java software, integrate data sources, improve rating algorithms, and evolve cloud data warehouse infrastructure. Collaborate with data science, research, engineering, design, and product teams to deliver reliable cybersecurity insights. The role emphasizes scalable software development, data quality, continuous improvement, and strong communication.