Staff Software Engineer – Tech Lead

🕒 July 30

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 16%

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OpenLoop

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

💼 Consulting

⚖️ Legal

📦 Logistics

💰 $15M Series A - OpenLoop Health on 2023-03

Consulting • Legal • Logistics

OpenLoop is a white-label telehealth platform and managed services provider that helps organizations launch and scale virtual care programs. It combines SaaS-based, brandable technology (scheduling, booking, payments, EHR/API integrations) with clinical staffing, credentialing, payer coverage and RCM, regulatory/legal support, and 24/7 patient support. OpenLoop serves health plans, hospitals and health systems, retailers, employers and digital health companies with AI-powered operations, a nationwide clinician network and broad insurance coverage including Medicare and Medicaid.

📋 Description

• Own System Architecture: Design and evolve distributed systems on GCP (Cloud Run, Pub/Sub, BigQuery), making final decisions on service boundaries, data models, and technology trade-offs across Go, Python, and TypeScript. • AI & LLM Strategy: Lead hands-on integration of AI systems, including open-source LLMs, embeddings, and speech models. Define prompt optimization, evaluation strategies, and safety practices using tools like LangFuse. • Operational Excellence: Champion observability, reliability, and scale. Oversee event-driven ingestion and automated QA pipelines for call transcripts and healthcare data (FHIR / Medplum). • Delivery & Execution: Contribute code to critical paths while leading major technical initiatives. Identify gaps, unblock teams, and drive projects to completion. • Cross-Functional Leadership: Translate complex technical constraints into clear options and trade-offs for Product, Design, and Clinical Operations.

🎯 Requirements

• 8+ years of software engineering experience, with 2+ years leading projects or serving as a Tech Lead. • Staff-level scope or equivalent technical impact. • Strong LLM experience in production environments (hands-on required). • ML background preferred, especially applied machine learning or AI infrastructure. • Expert-level proficiency in Go, Python, or TypeScript/Node, with the ability to review code across the stack. • Deep experience with distributed systems, containerized deployments (Docker, Kubernetes, Cloud Run), and event-driven architectures. • Experience hosting or integrating open-source models (e.g., vLLM, Ollama), with a strong understanding of RAG architectures. • Background in regulated environments (HIPAA, SOC 2) or healthcare data standards (FHIR, HL7). • Strong written and verbal communication skills, including writing RFCs and explaining technical strategy to non-technical stakeholders.

🏖️ Benefits

• Medical, Dental, and Vision plans • Flexible Spending/Health Savings Accounts • Flexible PTO • 401(k) + Company Match • Life Insurance, Pet insurance, and more