Top Remote Software Engineer Jobs in Raleigh, NC

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines and sampling strategies, improve reliability and cost efficiency, integrate observability into AI-assisted development, and drive platform adoption across engineering teams. Remain hands-on while mentoring six engineers, leading cross-functional initiatives, establishing engineering standards, and overseeing monitoring, alerting, on-call operations, and system availability.

Staff Software Engineer responsible for leading design and delivery of large-scale order platform capabilities spanning cloud and point-of-sale systems. The role drives architecture, performance, reliability, API design, code quality, incident response, and technical roadmap alignment. It also requires cross-team collaboration, domain expertise in order processing and synchronization, mentoring engineers, and using AI-assisted development tools to improve productivity.

Performs functional and automated testing for Veeva’s Site Vault SaaS platform. Responsibilities include creating test plans and cases, automating regression coverage, triaging results, verifying releases, assessing quality risks, and collaborating in Agile teams. The role also contributes to architecture discussions, proof-of-concepts, quality processes, code coverage practices, and technical guidance for junior teammates.

Drives performance engineering and scalability across software systems by identifying bottlenecks, optimizing code, queries, databases, and architecture, and implementing fixes. Builds performance frameworks, data-generation tools, benchmarks, and CI/CD automation using k6, JavaScript, Grafana, and InfluxDB. Establishes performance standards, investigates distributed systems and cloud environments, documents architectural decisions, and collaborates with engineering teams to improve throughput, latency, reliability, and efficiency.

Owns company-critical, long-term technical problems across multiple teams and organizations. Defines technical strategy, architectures, roadmaps, and engineering standards for large-scale customer-facing systems. Remains hands-on in software development while driving AI adoption in products and engineering workflows. Partners with senior product, engineering, and executive leaders to resolve complex problems, improve reliability and performance, and shape Dropbox’s technical direction.

Lead frontend technical strategy for Affirm’s checkout decision orchestration systems. Design and architect scalable web applications, guide major technical initiatives, improve reliability and operational processes, establish engineering quality standards, collaborate with product, design, and analytics, and mentor engineers. The role focuses on building fast, clear, and reliable checkout experiences using modern declarative UI frameworks.

Design and maintain automated testing frameworks for cloud-scale distributed systems. Build performance, load, stress, integration, API, end-to-end, chaos, security, and infrastructure tests. Integrate continuous testing into CI/CD pipelines, analyze observability data, validate Kubernetes and microservices environments, and collaborate with Engineering and SRE teams to improve reliability. The role also participates in on-call rotations and helps establish QA strategy and standards across GPU infrastructure, serverless endpoints, storage, billing, and event-driven systems.

Build and operate production backend services supporting Supabase AI products, including the MCP server. Responsibilities include service architecture, deployments, scaling, authentication and authorization, observability, reliability targets, on-call incident response, rate limiting, capacity management, and API evolution. The role requires strong TypeScript or Go skills, production backend experience, distributed-systems debugging, and collaboration with Platform and SRE teams in a fully remote environment.

Develop and lead production software-defined networking for NVIDIA’s global GPU cloud infrastructure. Design multi-tenant control and data planes using Open vSwitch, OVN, OpenFlow, Kubernetes, C, and Go. Build networking services, plugins, automation, testing, observability, and reliability improvements. Lead architecture and code reviews, mentor engineers, support on-call operations, and resolve complex production incidents through diagnostics and source-level debugging.

Develop and maintain graphics system software, user-mode drivers, platform code, APIs, and SDKs across GPU architectures and operating systems. Ensure backward and forward compatibility across driver releases, collaborate on graphics and deep learning technologies, and support next-generation GPU design, development, and validation.

Lead performance practices for large-scale AI systems, enhance datacenter products, and resolve complex performance issues through collaboration and technical expertise.

Design and implement high-performance, scalable storage systems and client libraries for AI workloads. Build data loading, checkpointing, caching, POSIX-style and object-store integrations, observability and telemetry, and validate performance with platform, SRE, and AI teams using modern engineering practices.

Lead cross-stack adoption of modern toolchains, build and code-health practices, and performance workflows on NVIDIA CPU platforms. Integrate and validate compilers, linkers, cross-compilation, and CI; profile and optimize large codebases; build automation and playbooks; drive integration blockers to owners and communicate measurable before-and-after results to engineering teams and leadership.

Develop, test, deploy, and maintain secure front-end and back-end applications supporting cybersecurity and identity access management initiatives. Participate in the full software development lifecycle, troubleshoot issues, perform code reviews, document solutions, and collaborate with cross-functional teams in an Agile environment. The role contributes to scalable software solutions and continuous improvement while supporting production applications.

Develops, tests, deploys, and maintains data-driven applications, databases, automated workflows, AI-enabled capabilities, and decision-support tools. Builds data pipelines, integrates enterprise systems and APIs, performs data validation, troubleshoots defects, supports prototyping and user acceptance testing, and contributes to code reviews, Agile ceremonies, documentation, deployments, and customer support. Collaborates with technical teams, project managers, customers, and stakeholders to deliver software solutions.

Develop and maintain complex COBOL mainframe applications supporting Medicare claims processing. Responsibilities include technical design, coding, unit testing, debugging, defect resolution, documentation, production maintenance, and Agile team participation. The role provides technical leadership, mentorship, client-facing communication, task estimation, and troubleshooting while supporting CMS and Medicare DME systems in a structured environment.

Design and build reusable backend platform services, libraries, frameworks, integrations, and AWS infrastructure abstractions. Establish reliability, security, observability, testing, compatibility, and deployment standards for consuming teams. Direct AI-agent implementation through specifications and contracts, review generated and human code, manage incidents, and drive production adoption of shared platform capabilities.

Build internal web applications, APIs, integrations, AI-assisted workflows, knowledge repositories, dashboards, Slack bots, and PDLC automations. Connect tools such as Jira, GitHub, Notion, and data platforms with go-to-market systems. Prototype rapidly, collaborate across Product, Engineering, Program Management, Analytics, and commercial teams, and ensure secure, documented, auditable solutions.

Design, develop, test, secure, and maintain enterprise applications and APIs using C# and modern .NET. Build database solutions, RESTful integrations, automated tests, and CI/CD pipelines while supporting Agile and DevSecOps delivery. Modernize legacy applications, troubleshoot production issues, conduct code and design reviews, and remediate security findings. The role requires an active DoD Secret clearance and U.S. citizenship and is remote within the United States during Pacific Standard Time hours.

Lead technical ownership of InfiniBand and GPU interconnect fabric operations for hyperscale AI supercomputers. Drive incident response, deep multi-layer debugging across hardware/firmware/drivers/OS, and define failure models, playbooks, telemetry, and automation to improve reliability, observability, and scalability of GPU clusters and platform SLAs.

Develop and maintain clean, secure software and unit tests for Cisco’s enterprise AI and hybrid-cloud platforms. Partner with product, design, and cross-functional teams to gather requirements and deliver solutions. Lead technical designs, code reviews, debugging, production support, threat modeling, postmortems, and root-cause analyses. Improve software development and Agile practices, lead projects end to end, mentor engineers, and contribute to scalable, reliable product roadmaps.

Develop and configure IBM TRIRIGA solutions for facilities and real property management. Translate stakeholder requirements into functional designs, workflows, test cases, and implementation plans. Collaborate with business sponsors, end users, maintenance technicians, and technical teams on solution design, troubleshooting, effort estimation, testing, documentation, and delivery. Work independently in cloud environments while supporting federal and commercial clients remotely.

Designs, develops, tests, debugs, maintains, and integrates internal applications supporting business workflows, reporting, data accuracy, APIs, and compliance. The role gathers requirements, proposes process and technology improvements, estimates costs and savings, collaborates with IT teams, and supports enterprise-wide deployments. Development work includes Python backend services, JavaScript or TypeScript front ends, SQL databases, third-party API integrations, and unit, functional, and manual testing.

Develop and optimize Microsoft .NET applications, legacy systems, and microservices with a focus on performance, scalability, reliability, and observability. Responsibilities include code reviews, performance testing, CI/CD integration, architecture and sprint delivery, legacy code and SQL tuning, cloud application deployment on Azure, automated testing, and resolving customer issues. The developer collaborates with architects, QA, technical support, and cross-functional teams using SAFe Agile practices.

Senior backend engineer responsible for designing, building, testing, and documenting scalable Node.js/TypeScript services and APIs. Lead projects end-to-end, enforce coding standards, write technical specifications, optimize performance, and mentor junior engineers. Champion Agile and CI/CD practices while providing technical thought leadership on backend architecture and data modeling.