Top Remote Software Engineer Jobs in Philadelphia, PA

Develop and deliver features for large-scale web applications using full-stack technologies across React, TypeScript, Node.js, Microsoft, and cloud stacks. Collaborate in agile Scrum or Kanban teams with architects, QA, product management, and stakeholders. Contribute to CI/CD, DevOps, troubleshooting, performance, security, and continuous improvement while building high-quality software solutions.

Own and improve Glydways’ Bazel monorepo infrastructure across C++, Python, and Go. Responsibilities include implementing remote caching and remote build execution, optimizing build and test performance, maintaining toolchains and dependencies, supporting embedded cross-compilation, improving CI/CD workflows with AWS and Buildkite, developing developer automation, monitoring build health, and participating in on-call support.

Build full-stack applications for an AI-driven pipeline risk platform. Primary responsibilities include developing TypeScript and React interfaces, building TypeScript and Python APIs, designing asynchronous analytical workflows, integrating Databricks and Azure services, and enabling customer model deployment. The role also covers testing, security, performance optimization, database development, CI/CD, accessibility, API documentation, and collaboration with design, data science, product, QA, and engineering teams.

Develop and maintain integrations across modern .NET services and legacy .NET Framework applications. Build REST APIs, event-driven services, shared libraries, and synchronous or asynchronous workflows. Own work through testing, deployment, production support, and on-call rotations. Contribute to API standards, platform architecture, documentation, code reviews, and onboarding. Use AI-assisted coding tools daily across development, testing, reviews, and documentation.

Build and maintain full-stack software using TypeScript, Go, and Python, including backend, frontend, and architectural development. Collaborate with developers, designers, product managers, and Department of Defense stakeholders to develop AI-powered solutions, take products from concept to launch, conduct code reviews, and support customers through travel when needed.

Build and maintain full-stack behavioral health technology features and services. Responsibilities include translating team goals into technical plans, designing APIs and services, evaluating technical tradeoffs, identifying risks, contributing to architecture, collaborating with product and QA, mentoring junior engineers, and improving testing and engineering practices. The role requires C#, TypeScript, .NET, modern frontend frameworks, databases, CI/CD, Docker, Kubernetes, and automated testing experience.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Build and scale AI-native healthcare products through full-stack applications, backend services, data pipelines, and AI systems. Design, test, deploy, and operate production-ready software, run A/B tests, automate manual workflows, and collaborate with product, operations, and AI/ML teams. The role requires end-to-end ownership of scalable, secure, reliable systems and features, with a focus on performance, data integrity, clean code, and measurable business outcomes.

Build and operate scalable data pipelines, backend services, APIs, and infrastructure powering AI-driven healthcare applications. Design distributed data systems, ETL workflows, streaming platforms, and cloud-native architectures while partnering with AI, machine learning, and product teams. Own production reliability, observability, security, automation, and on-call support for business-critical systems.

Design, develop, test, and maintain scalable platform software and services. Collaborate with architecture and cross-functional teams, implement platform features, participate in code reviews, document technical specifications, troubleshoot issues, and optimize performance and scalability. The role requires Go development, scripting, Kubernetes, cloud-native technologies, containerization, cloud networking, and CI/CD experience.

Investigates customer escalations, performs root-cause analysis across complex Java codebases, and delivers production-ready fixes. Uses AI-assisted tools for log analysis, defect diagnosis, code remediation, test generation, and validation. Communicates issue status, documents resolutions, maintains knowledge content, supports teammates, and contributes to product enhancements. The role includes periodic after-hours and weekend pager coverage.

Develops, enhances, tests, debugs, deploys, and supports enterprise mainframe applications using COBOL, IDMS, DB2, and related technologies. Troubleshoots production issues, collaborates with end users to define requirements, ensures performance and security, applies Agile practices, and mentors junior developers. The role supports remote personnel serving a Kansas City, Kansas customer and requires the ability to obtain and maintain Public Trust clearance.

Build and maintain secure, scalable backend systems for Mindbody products. Design microservices, write tested and maintainable code, monitor applications, participate in reviews, and collaborate with Product, Design, QA, and Engineering teams. The description also includes leadership responsibilities such as managing backend development teams, coaching managers and engineers, establishing delivery processes, and driving technical and organizational improvement.

Build and maintain Python services, REST APIs, batch jobs, shared libraries, claims workflows, and internal applications. Develop maintainable, unit-tested code; write SQL for MySQL databases; participate in design, code review, deployment, and production support; and collaborate across departments. The role also involves handling sensitive healthcare data, using AI-assisted development tools responsibly, and working in a regulated pharmacy benefits domain.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Build and operate full-stack systems for an AI-powered offensive security platform. Responsibilities include developing React frontends, TypeScript APIs, Kotlin and Go backend services, deploying on AWS, designing scalable systems, optimizing databases, supporting production, and owning features from concept through deployment. The role involves close collaboration with AI and security researchers in a fast-paced remote startup.

Design, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.

Leads technical strategy and architecture for a scalable advertising platform supporting video, server-side advertising, connected TV, programmatic advertising, and new ad formats. Designs distributed systems, evaluates ad technologies, improves reliability and observability, partners across engineering and product teams, mentors engineers, and guides long-term technical investments and roadmaps.

Develop scalable test automation frameworks, QA tools, and intelligent testing systems using Playwright, C#, and JavaScript/TypeScript. Integrate automated testing into CI/CD pipelines, build end-to-end, integration, and performance solutions, and apply AI techniques to improve test generation and defect detection. Partner with engineering and QA teams, troubleshoot reliability issues, contribute to test strategy, and mentor colleagues on automation and modern testing practices.

Staff Software Engineer responsible for designing scalable distributed systems and full-stack web applications supporting provider acquisition, onboarding, and marketplace supply growth. The role leads cross-team technical initiatives, shapes engineering strategy, mentors developers, and delivers provider-facing products from discovery through post-launch support. Experience with AI-assisted development workflows and technologies such as Node.js, React, TypeScript, Kafka, AWS, Docker, and Kubernetes is valued.

Develop scalable Java-based software and distributed systems for BILL’s Growth team. Improve subscription, monetization, pricing, packaging, and customer upgrade or downgrade experiences. Build AWS-based SaaS applications, design SQL and NoSQL databases, implement CI/CD pipelines, and apply generative AI to software engineering. Collaborate with product managers and cross-functional engineering teams to drive user growth, revenue, and feature engagement.

Build and maintain scalable full-stack web applications using PHP, Laravel, React, Next.js, SQL, and related technologies. Own features from design through deployment and monitoring, develop APIs, optimize databases and legacy systems, troubleshoot performance issues, and contribute to code quality, security, and engineering practices. Collaborate cross-functionally in an agile, continuous-deployment environment while using AI-assisted tools responsibly.

Build and lead development of high-availability backend services for Affirm’s card loan platform. Design scalable APIs, data models, microservices, and event-driven systems supporting real-time loan attribution, approvals, origination, and refunds. Drive technical strategy, troubleshoot complex performance issues, collaborate with cross-functional teams, and mentor engineers while ensuring long-term system robustness and scalability.

Own Headway’s cloud platform and infrastructure engineering strategy. Lead deployment isolation, container orchestration, AWS networking and compute, autoscaling, capacity planning, Terraform self-service infrastructure, cloud cost attribution, and Python runtime performance. Build reliable paved-road tooling that enables engineering teams to deploy safely and independently while improving scalability, observability, and operational resilience.

Build Doowii’s conversational analytics platform across frontend, backend, data interaction, and infrastructure. Responsibilities include creating data-query interfaces, developing APIs, integrating AI-driven features, optimizing query and storage performance, managing AWS and GCP systems, designing data models, and maintaining ingestion pipelines involving NiFi, Kafka, Iceberg, and BigQuery. The role also involves model evaluation, schema evolution, change data capture, high-throughput streaming, automation, and rapid startup iteration.