Senior Platform Engineer
Doctronic · San Francisco
About this role
## Senior Platform Engineer — Doctronic **Location:** San Francisco (On-site) **Type:** Full-time ### About Doctronic Doctronic provides free, private access to AI health guidance and affordable visits with human physicians. Millions of consultations already depend on our production systems. ### What you’ll do - Improve the reliability and operation of production services on **AWS ECS** - Build shared infrastructure, service templates, and delivery workflows to reduce time from code to production - Improve **local development**, **CI**, testing, and deployment workflows so engineers can operate with less platform support - Create **agent-ready repositories**, documentation, and interfaces so coding agents can complete useful tasks with less supervision - Automate recurring work (service setup, dependency changes, release checks, incident triage) - Add guardrails and feedback loops to make agent-produced changes fast to validate and safe to ship - Provide engineers with useful **logs, metrics, alerts, and service health** information - Define practical standards for incident response, recovery, capacity, and service reliability - Build **security, privacy, and compliance** controls into infrastructure and delivery workflows - Track infrastructure cost and improve efficiency as traffic, data, and AI workloads grow - Partner with product, AI, data, and security engineers to solve production problems ### What we’re looking for - Experience building and operating production systems on **AWS** - Strong knowledge of **containers**, **infrastructure as code**, **CI/CD**, **networking**, and **observability** - Experience with container orchestration and automated delivery - Experience improving developer environments, CI performance, service templates, or internal engineering tools - Ability to write software/automation instead of relying on manual procedures - Daily experience with coding agents, with evidence you’ve built tools/context/workflows that improve reliability - Experience measuring or improving engineering throughput, CI time, test quality, or self-service adoption - Experience diagnosing incidents and driving follow-up improvements - Good judgment across reliability, security, cost, and delivery speed - Clear written and verbal communication across engineering teams - Typically **5+ years** of relevant experience (exact tool overlap not required if platform fundamentals are strong) - Helpful (not required): AI infrastructure, regulated systems, disaster recovery, high-traffic applications ### Technical context - AWS-based infrastructure using **ECS** and **ECR** - **Terraform** and **Terragrunt** for infrastructure as code - **GitHub Actions** for CI/CD - **CloudWatch** for monitoring - Additional services: **RDS**, DocumentDB, Redis, S3, CloudFront, Application Load Balancers, IAM, Secrets Manager - Most automation is written in **Python** or **shell** ### How we work - Small, senior team with high autonomy - Application teams own the services they ship; Platform enables ownership with shared infrastructure, tools, and standards - Infrastructure changes are reviewed and managed as code - High standards for patient safety, privacy, reliability, and code quality ### Compensation & benefits - **Base salary:** $180,000–$240,000 + equity - Benefits reimbursement --- If you’re interested in building platform systems that improve reliability, developer velocity, and agent-assisted workflows, we’d love to hear from you.
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