Top Remote Software Engineer Jobs in Pittsburgh, PA

Designs, builds, and productionizes healthcare knowledge graph solutions using LPG and RDF technologies. Develops FHIR data transformation and ingestion pipelines, ontology mappings, entity linking, provenance tracking, graph queries, and automated validation. Translates semantic specifications into scalable implementations while collaborating with ontology, terminology, clinical, FHIR, and data engineering teams. Participates in technical design, architecture reviews, code reviews, and engineering best practices.

Own backend services from design through production support, solve ambiguous technical problems, improve reliability, build automation, and contribute to architecture and technical decisions. The role involves developing secure software in a regulated healthcare environment, debugging production issues, writing tests, mentoring engineers, and using modern cloud, deployment, observability, and AI-assisted development tools.

Design, build, and deliver front-end features with strong UX focus. Own technical design, coding, testing, deployment, and monitoring in a continuous delivery, microservices environment. Collaborate with Product, implement automated QA practices, and contribute to production deployments while practicing robust testing methodologies.

Build and scale backend systems, APIs, infrastructure, and applications for multimodal sensing and AI intelligence platforms. Responsibilities include processing sensor, audio, video, and environmental data; supporting data pipelines and model inference; ensuring reliability, scalability, and data integrity; and contributing to engineering standards and long-term technical strategy.

Leads technical direction for the Partner Services engineering area while remaining hands-on with mission-critical financial systems. Owns architecture roadmaps, ADRs, observability, reliability, security, technical investment, OKRs, and KPIs across multiple teams. Leads major incidents, drives AI-native engineering practices, partners with product and executive stakeholders, participates in architecture governance, and mentors engineers at every level. The role requires strong payments or banking familiarity, executive communication, and extensive technical leadership experience.

Develop and debug production-grade full-stack applications across front-end and back-end systems. Build features, APIs, databases, and data models; troubleshoot end-to-end issues; analyze unfamiliar codebases; translate implementations across programming languages; and review AI-generated and developer-written code for correctness, security, scalability, performance, and maintainability.

Build and maintain secure, scalable APIs and infrastructure for an AI-powered fintech platform. Develop features across the stack, integrate third-party APIs, deploy infrastructure with Terraform, apply compliance and security practices, and support customers as a technical point of contact. The role involves close collaboration with the CTO in a greenfield, early-stage startup environment.

Design, develop, and improve scalable software for an investment platform. Lead software development across the lifecycle, mentor junior engineers, solve complex technical problems, maintain code quality through testing and reviews, and recommend technology enhancements. The role is remote in the USA with four in-person retreats annually.

Build and maintain data-intensive, interactive web products across the full stack. Architect and implement API and frontend features, validate FastAPI responses with Pydantic, access Postgres via SQLAlchemy, optimize performance and scalability, implement testing and QA, participate in code reviews, refine UX, and help define engineering processes at an early-stage company.

Build and maintain low-latency connectivity APIs and integrations with crypto exchanges, OTC desks, brokers, and other trading venues. Develop order routing, trade execution, and real-time data ingestion systems using REST, WebSocket, and FIX. Monitor connections and data pipelines, improve reliability and observability with Grafana and Prometheus, collaborate on exchange onboarding, and create automated tests for production readiness.