Top Remote Software Engineer Jobs in Wilmington, NC

Designs, develops, tests, and supports Salesforce and MuleSoft enterprise integrations using API-led architecture. Responsibilities include implementing user stories, resolving defects, monitoring system performance, maintaining APIs, participating in Agile planning, conducting technical reviews, and collaborating with engineers. The role requires expertise in MuleSoft Anypoint Platform, Salesforce development, API documentation, scalable integration patterns, CI/CD, automated testing, and Salesforce ecosystem integrations.

Build and evolve OpenRouter’s public REST API, TypeScript and Python SDKs, Agent SDK, CLI, documentation, examples, and starter repositories. Own developer-facing product surfaces, improve API ergonomics and agent compatibility, and collaborate with DevRel, Product, and Platform teams to expand the developer ecosystem. The role requires strong API and SDK design judgment, autonomy, written communication, and experience shipping widely used developer products.

Design and implement backend APIs, microservices, and checkout platform components for Affirm’s financial products. Own system health, improve performance and reliability, collaborate across engineering teams, and contribute to technical standards, tooling, and processes. The role requires developing, testing, and shipping high-quality software at scale while making customer-centric technical decisions.

Develop and operate highly available, large-scale distributed systems for Twilio SendGrid. Build Go-based microservices, manage AWS and Azure infrastructure with Terraform, improve observability and reliability, and optimize high-throughput email services. Responsibilities include architecture, coding, testing, technical debt reduction, infrastructure modernization, sprint planning, code reviews, and mentoring junior engineers.

Design, build, and operate resilient AWS cloud infrastructure, Kubernetes platforms, CI/CD pipelines, and infrastructure-as-code modules in a regulated medical-device environment. Improve security, scalability, performance, cost efficiency, deployments, and operational support. Collaborate with Engineering, QA, IT, and Security teams while troubleshooting distributed systems and providing technical leadership across global teams.

Develops workflow applications, automation, scripts, services, integrations, and testing solutions that replace manual processes with traceable enterprise workflows. Responsibilities include process analysis, evidence collection automation, task routing, approvals, policy enforcement, API and data integrations, documentation, code reviews, demonstrations, defect correction, and continuous improvement. The role is remote, contingent on contract award, and supports a federal customer.

Develop, test, maintain, and support secure, scalable full-stack .NET applications in an Agile/Scrum environment. Responsibilities include API and database development, technical documentation, code and design reviews, SDLC compliance, security and audit adherence, collaboration with architects and business partners, mentoring junior engineers, leading project delivery, and participating in on-call support and occasional travel.

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.

Designs, builds, scales, and operates distributed CI/CD services supporting millions of builds, tests, and releases. Develops code for Azure-based infrastructure spanning virtual machines, containers, and custom lab environments. Responsibilities include requirements analysis, architecture and design documentation, estimation, debugging, optimization, operational playbooks, on-call incident response, monitoring, reliability improvements, and mentoring engineers.

Lead frontend-focused full-stack development for a neurotechnology platform controlling brain stimulators, managing patient data, visualizing real-time 3D data, integrating APIs, syncing cloud systems, and improving user experience. The role involves React and React Native frontend work, Python or Node.js backend development, team growth and mentorship, and collaboration on secure, scalable healthcare applications.

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.

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.

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.

Design, develop, verify, and maintain embedded system software and kernel drivers for NVIDIA Tegra ARM-based SoCs. Responsibilities include pre-silicon modeling, silicon bring-up, core OS enablement, hardware and software collaboration, unit testing, documentation, and system-level debugging. The engineer will also influence hardware architecture through design specifications and support next-generation SoC platforms.

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.

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.