Top Remote Software Engineer Jobs in Pittsburgh, PA

Lead backend engineering for cloud-native, event-driven data pipelines and customer integrations (especially EHRs). Evolve core data models and APIs, improve scalability and reliability, mentor engineers, define best practices, and drive end-to-end testing and AWS-based solutions.

Design, build, and maintain scalable, reliable full‑stack systems. Contribute to API and architecture design, write testable code, debug complex issues, improve performance, automate deployments, and mentor junior engineers while collaborating with cross‑functional teams.

Lead design and build of scalable backend systems and data platforms; own architecture and production deployments; improve reliability, performance, and observability; mentor engineers and collaborate with Product, Data Science, SRE, and Security.

Build a high-performance, low-latency Rust backend and core AI platform for an AI-native trading experience. Implement streaming responses, tool orchestration, caching, secure APIs (auth, rate limits, auditing, tracing), and safe trading action infrastructure (previews, confirmations, idempotency, audit logs). Partner with product and frontend to enable AI-native UX and translate business domain requirements into secure, resilient platform primitives.

Lead architecture and technical direction for an AI-first SaaS product (Growth Studio). Define scalable services, APIs, data flows, and AI-enabled workflows; guide integrations, run architecture/code reviews and POCs; mentor engineers; produce technical documentation; and partner with product, UX, QA, and ops to deliver reliable, secure, and maintainable platform capabilities for GovCon customers.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.

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

Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.