Top Remote Software Engineer Jobs in Philadelphia, PA

Design, develop, and maintain secure enterprise Power Platform and Dynamics 365 model-driven applications. Build custom web resources, Power Automate workflows, integrate with Azure services, manage ALM/solutions, use GitHub for version control, and provide tier-3 troubleshooting and documentation to deliver business value.

Design and build scalable, production-ready workflow applications on a no-code platform. Translate customer requirements into integrations, AI-powered automations, data transformations, and reusable components. Troubleshoot complex workflows, collaborate with customers and architects, demonstrate solutions, and iterate through implementation, testing, and deployment.

Lead technical execution and people management for multiple engineering pods (18 people). Set goals, shape roadmap with product and design, build scalable engineering processes, provide architectural oversight, drive technical excellence, and champion practical AI tooling adoption to improve developer velocity and product capability.

Design and implement Kotlin-based Android/AOSP/AAOS apps, frameworks, and SDKs for vehicle infotainment. Deliver features and fixes, use TDD, perform code reviews, write design docs and roadmaps, collaborate with UX/product/engineering, and provide technical leadership.

Work on Zed's open source codebase: triage issues, fix bugs, implement community-requested features, review pull requests, improve GitHub processes, and optimize performance and UX while collaborating with community members.

Build and maintain end-to-end features across frontend and backend; collaborate with product, operations, sales, and marketing; scope, prototype, test, deploy, and maintain services; write maintainable code and exhaustive tests; participate in code reviews; mentor teammates; estimate and prioritize work; operate effectively in an asynchronous remote environment.

Design, build, and operate highly concurrent, distributed backend services in Go. Drive architecture, performance optimization, reliability, observability, and secure development practices. Partner with frontend, platform, autonomy, and embedded teams to deliver mission-critical systems from edge devices to cloud production.

Design and implement data architecture, build and maintain ETL/ELT pipelines (Snowflake, Airflow, DBT), ensure data quality and accessibility, support onboarding and on-call operations, and collaborate with cross-functional teams to deliver scalable healthcare analytics solutions.

Build and maintain iOS and Android apps, own features end-to-end, implement high-quality UI/UX, ship consumer-facing AI (including on-device ML) to production, integrate REST APIs, troubleshoot production issues, and contribute to mobile architecture.

Build and optimize high-throughput de-identification pipelines for large clinical datasets, execute QA, run and tune pipelines in health system cloud environments, reduce errors and costs, and collaborate with privacy and clinical informatics stakeholders.