Top Remote Software Engineer Jobs in Philadelphia, PA

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.

Design, build, and maintain backend services and APIs in Go; optimize PostgreSQL schemas and queries; create reliable integrations and orchestration layers; implement observability and security best practices; collaborate across engineering and product to improve developer experience and operate a SaaS platform.

Build end-to-end AI integrations in a cybersecurity platform: gather contextual security data, call and optimize AI services, map responses to actionable UI (React), implement error/fallback handling, monitoring, caching, and user feedback loops while working directly with customers.

Build and maintain React/TypeScript UI components, pages, and data visualizations for a security/compliance platform. Extend component library, optimize performance for large datasets, implement real-time updates, collaborate with designers, backend engineers, and customers to ship high-fidelity, production-ready interfaces.

Lead design and implementation of scalable backend solutions, collaborate on requirements and specs, troubleshoot complex technical issues, conduct and lead code reviews, ensure rigorous automated testing, leverage AI tools to improve workflows, and support high-volume transactional processing.

Design, build, and maintain low-latency, high-availability backend services and REST APIs. Troubleshoot production issues, improve performance, write technical specs, participate in on-call rotations, and collaborate on the bot runtime platform.

The Solutions Engineer will support the integration of Near Intents, assist developers, enhance product stability, and provide technical support to ecosystem partners.

Design, implement, and govern ServiceNow platform capabilities for enterprise ITSM and operational workflows. Lead architecture, development, integrations, and a large data migration from a legacy system. Provide technical leadership, platform administration, performance/security optimization, testing and cutover support, documentation, and stakeholder collaboration to ensure secure, scalable, and mission-aligned ServiceNow operations.

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.

Evaluate and solve real-world backend, full-stack, systems, and infrastructure engineering tasks. Review, debug, and improve code across environments; design and assess APIs, databases, services, testing, and deployment workflows; identify tradeoffs around scalability, reliability, performance, security, and developer experience; communicate technical reasoning clearly and collaborate with customer teams.

Build and enhance full‑stack cloud-native applications using Java/Spring and JavaScript/React. Own the full SDLC, apply TDD and CI/CD, troubleshoot production issues, mentor junior engineers, and drive technical direction as experience increases from contributor to Lead.

Lead a pod as technical owner of core, scalable production systems: define architecture, improve reliability and processes, lead planning/releases, mentor engineers, and coordinate cross-functional delivery.

Design, build, and scale backend services and product features with focus on scalability, reliability, and performance. Contribute to system architecture, write maintainable code, improve observability and performance, and partner with Product and Design to deliver features. Drive projects end-to-end, participate in sprint planning, and mentor engineering best practices.