Top Remote Software Engineer Jobs

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Contribute to modernization and technical-debt reduction efforts, implement and test features, participate in code reviews, follow CI/CD and Agile practices, and collaborate with senior engineers while learning cloud and security practices.

Build and maintain Go-based backend authorization services for Splunk’s enterprise platform. Develop scalable distributed systems, troubleshoot production issues, improve performance and reliability, modernize C++ services, and support Kubernetes-based infrastructure. Collaborate on technical designs, code reviews, operational support, and on-call rotations while working with authentication, authorization, and RBAC/ABAC concepts.

Designs and develops high-performance authorization services using C++ and Go for Splunk’s enterprise platform. Leads architectural decisions for distributed systems, scalability, reliability, service-to-service trust, and cloud-native modernization. Owns complex initiatives from design through delivery, coordinates engineering efforts, improves large C++ infrastructure, and contributes to code reviews, troubleshooting, production reliability, and operational support.

Lead the technical direction of C++ and Python testing ecosystems, developing reusable testing frameworks, developer tooling, CI/CD quality gates, and engineering metrics platforms. Improve test reliability and pipeline performance, establish organization-wide testing standards, and mentor engineers while influencing technical decisions across teams. The role requires expertise in C++, testing and mocking frameworks, build systems, cloud platforms, Kubernetes, containerized environments, and software design for testability.

Develop scalable full-stack applications and services for millions of users, with a backend focus. Design APIs, event-driven systems, and database solutions; collaborate with product, UX, and engineering teams; promote automated testing, reliability, code quality, and incident management. Participate in on-call responsibilities, pair programming, technical mentoring, and evaluation of new technologies.

Leads onshore and offshore developers building and operating MANSCAPED’s Shopify Plus and headless e-commerce platforms. Responsibilities include hands-on coding, architecture, code quality, CI/CD, production reliability, incident response, security practices, vendor management, hiring, performance management, budgeting, KPI tracking, and roadmap planning. The role partners cross-functionally with Product, Marketing, Cybersecurity, Enterprise Applications, and external technology vendors while maintaining platform performance during peak trading periods.

Develop, test, deploy, and maintain full-stack web applications. Responsibilities include building responsive front-end interfaces, server-side systems, APIs, database solutions, integrations, automated tests, deployments, and security improvements. The role supports production troubleshooting, performance optimization, documentation, code reviews, and collaboration with product, design, QA, DevOps, and engineering teams.

Develop and support a production full-stack platform for alternative investment managers. Responsibilities include building frontend features, backend services, APIs, data-ingestion workflows, validation, scheduled jobs, SQL queries, database migrations, audit trails, access controls, automated tests, and production issue resolution. The role also involves code reviews, releases, technical documentation, and coordination with technical and DevOps teams on deployments and upgrades.

Leads engineering teams developing platform software for GPU-accelerated applications using Kubernetes, container runtimes, Kata Containers, and Confidential Containers. Responsibilities include enabling GPUs as Kubernetes resources, integrating software across NVIDIA’s technology stack, managing priorities, and delivering secure, reliable distributed systems. The role requires deep systems software expertise, engineering management experience, and hands-on knowledge of containers, Linux, cloud computing, virtualization, and confidential computing technologies.

Lead the architecture and implementation of NVIDIA’s large-scale data retrieval platform for foundation-model training. Build web crawling, source discovery, indexing, scheduling, fetching, ingestion, provenance, and policy-enforcement systems. Ensure production reliability, scalability, observability, and cost efficiency while supporting open-web, licensed, partner, code, STEM, and multimodal data. Partner across engineering, research, product, legal, privacy, and governance teams, mentor engineers, and set technical direction.

Leads a new GTM Engineering function, setting technical strategy and managing 2–3 engineers while remaining hands-on. Builds production systems connecting marketing, sales, product, and data platforms; orchestrates GTM workflows; improves prospect qualification and routing; establishes measurement and experimentation; and applies AI with evaluation, testing, and human oversight. The role uses TypeScript, Node.js, Customer.io, Salesforce, Snowflake, and Haskell integrations.

Design, implement, test, debug, and evaluate production-grade Rust backend systems for AI training projects. Responsibilities include API and persistence development, asynchronous and concurrent processing, performance optimization, reliability analysis, architecture review, reproducible test environments, containerized workflows, and technical documentation. The role requires identifying correctness, scalability, and failure-handling issues while delivering high-quality implementation artifacts and meeting weekly project deadlines.