Engineering Manager, Platform
Doctronic · San Francisco
About this role
**Engineering Manager, Platform** **Doctronic | New York City or San Francisco (Hybrid) | Full-Time** Doctronic provides free, private access to AI health guidance and affordable visits with human physicians. Millions of consultations depend on our production systems. We’re hiring an **Engineering Manager** to lead the team responsible for the systems used to **build, deploy, observe, and operate** Doctronic’s platform. This is a **hands-on management** role: you’ll set direction, develop engineers, guide architecture, and contribute directly to platform code and operations. You’ll be accountable for **engineering enablement, reliability, security, and infrastructure cost**—and help make **AI-native engineering** (including agents and automation) a normal part of planning, implementation, review, debugging, and operations. --- ## What You’ll Do - Lead and grow a team of platform engineers through clear goals, feedback, coaching, and high standards. - Set priorities with application, AI, data, security, and product teams based on engineering impact. - Improve reliability, scalability, and operations of production services—reducing time/effort to build, test, deploy, and operate software. - Guide key technical decisions and contribute directly to platform code, infrastructure, and automation. - Build an AI-native engineering environment with agent-ready repositories, clear interfaces, automated validation, and reusable workflows. - Improve how agent work is scoped, supplied with context, verified, and turned into reusable automation. - Track delivery speed, CI performance, reliability, self-service adoption, and operational load. - Lead incident response and ensure follow-up work produces durable improvements. - Hire strong engineers and expand team scope as Doctronic grows. --- ## What We’re Looking For - Experience managing and developing platform, infrastructure, or developer productivity engineers. - Strong technical background with current ability to contribute production code, infrastructure, and automation. - Judgment to evaluate architecture, reliability, security, cost, and delivery tradeoffs. - A record of turning ambiguous needs into clear priorities and shipped improvements. - Experience improving developer environments, CI/CD, observability, service templates, or internal engineering tools. - Daily experience using coding agents, with a clear view of where they help and where human judgment remains essential. - Evidence you’ve improved engineering throughput without lowering quality. - Experience hiring, coaching, giving direct feedback, and helping engineers grow. - Clear communication across engineering and company leadership. *Many candidates will have 8+ years of engineering experience, including 2+ years managing engineers.* --- ## Technical Context - AWS-based infrastructure - ECS and ECR for container workloads - Terraform and Terragrunt for infrastructure as code - GitHub Actions for CI/CD - CloudWatch for monitoring - Additional environment: RDS, DocumentDB, Redis, S3, CloudFront, Application Load Balancers, IAM, Secrets Manager - Automation primarily in **Python** or **shell** --- ## How We Work - Small, senior engineering team with high autonomy - Application teams own the services they ship - Platform enables ownership via shared infrastructure, tools, and standards - Managers are responsible for team health, technical quality, and delivery outcomes - High standards for patient safety, privacy, reliabi
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