Engineering Manager

Who you are

• 5+ years of software engineering experience, with 2+ years in an engineering manager role
• A track record of building and leading high-performing engineering teams in fast-moving environments
• Strong engineering fundamentals and a demonstrated ability to design, build, and scale production-grade infrastructure or platform systems
• Experience with distributed systems, platform engineering, cloud infrastructure, observability, or SRE practices
• Strong systems-thinking: you balance reliability, performance, cost, and developer experience under uncertainty
• Experience with Kubernetes, GCP/AWS, Grafana/Prometheus, data infrastructure, and infrastructure-as-code
• Willingness to wear multiple hats—from architecture and implementation to incident response and developer support. Comfortable with rapid iteration, experimentation, and learning from failure in a fast-paced environment

What the job involves

• As an Engineering Manager at Assort Health, you'll lead a team building AI-powered products that help patients access the healthcare they need — from our patient-facing voice AI agents to the platforms and workflows that power them
• You'll lead infrastructure at Assort, owning platform foundations, observability, CI/CD, developer tooling, and cross-cutting systems that enable every engineering pod at Assort to ship faster and operate more reliably
• You'll build a high-performing team, set technical direction, and help great engineers execute
• We expect you to be technical and hands-on when it matters: leading architecture reviews, debugging incidents alongside the team, and setting the bar for how the team uses AI coding tools to ship faster
• Lead a high performing infrastructure and platform team, including hiring and coaching
• Build and scale the platform systems that power Assort's AI agents — observability, CI/CD pipelines, developer tooling, and reliability infrastructure
• Own cross-cutting systems and services that span multiple product teams, ensuring consistent reliability and performance
• Drive technical decisions on GCP infrastructure, Kubernetes, monitoring/alerting, and data infrastructure
• Partner with product engineering teams to unblock them, improve developer velocity, and maintain operational excellence
• Design and ship internal tools and automation that make every engineer more productive
• Enjoy a high degree of autonomy, tasked with solving complex infrastructure problems while balancing reliability, cost, and developer experience