Senior Platform Engineer

Doctronic; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Base salary: $180,000 to $240,000, + e

Job summary

Doctronic in San Francisco seeks a Senior Platform Engineer to advance the systems used to build, deploy, observe, and operate its AI health guidance platform. This role owns engineering enablement, including the environment in which engineers and coding agents understand the codebase, make changes, validate them, and ship.

The team focuses on reliability, security, cost efficiency, and tooling to empower engineers and agents, with a strong emphasis on automation and scalable infrastructure.

Qualifications

• 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 and automation instead of manual procedures.
• Daily experience with coding agents and evidence you built tools to improve reliability.
• Experience measuring or improving engineering throughput, CI time, test quality, or self-service adoption.
• Experience diagnosing incidents and making follow-up improvements.
• Good judgment about reliability, security, cost, and delivery speed.
• Clear written and verbal communication across engineering teams.
• Many candidates will have 5+ years of relevant experience.
• Experience with AI infrastructure or regulated systems is useful but not required.

Responsibilities

• Improve the reliability and operation of production services on AWS.
• Build shared infrastructure, service templates, and delivery workflows that reduce code-to-prod time.
• Improve local development, CI, test, and deployment workflows for engineers.
• Build agent-ready repositories, documentation, and interfaces for coding agents.
• Automate recurring work such as service setup, dependency changes, release checks, and incident triage.
• Create guardrails and feedback loops to validate and safely ship agent changes.
• Provide engineers useful logs, metrics, alerts, and service health information.
• Define practical standards for incident response, recovery, capacity, and reliability.
• Build security, privacy, and compliance controls into infrastructure and delivery workflows.
• Track infrastructure cost and improve efficiency as workloads grow.
• Collaborate with product, AI, data, and security engineers to solve production problems.

Skills

AWS production systems

Containers

CI/CD

Observability

Automation

Python

Communication

Education

Bachelor's degree in CS or related

Tools

Terraform

Terragrunt

GitHub Actions

CloudWatch

RDS

DocumentDB

Redis

S3

IAM

Secrets Manager

Job description

Senior Platform Engineer

Doctronic | San Francisco | On-site | Full time

The role

Doctronic gives people free, private access to AI health guidance and affordable visits with human physicians. Millions of consultations already depend on our production systems.

We are hiring a Senior Platform Engineer to improve the systems used to build, deploy, observe, and operate Doctronic. This role owns engineering enablement, including the environment in which engineers and coding agents understand the codebase, make changes, validate them, and ship.

What you will do

• Improve the reliability and operation of production services on AWS ECS.

• Build shared infrastructure, service templates, and delivery workflows that reduce the time from code to production.

• Improve local development, CI, test, and deployment workflows so engineers can work without platform support for routine tasks.

• Build agent-ready repositories, documentation, and interfaces so coding agents can complete useful tasks with less supervision.

• Automate recurring work such as service setup, dependency changes, release checks, and incident triage.

• Create guardrails and feedback loops that make agent-produced changes fast to validate and safe to ship.

• Give engineers 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.

• Work with product, AI, data, and security engineers to solve production problems.

What we are 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.

• The ability to write software and automation instead of relying on manual procedures.

• Daily experience with coding agents and evidence that you have built tools, context, or workflows that make them more reliable.

• Experience measuring or improving engineering throughput, CI time, test quality, or self-service adoption.

• Experience diagnosing incidents and making follow-up improvements.

• Good judgment about reliability, security, cost, and delivery speed.

• Clear written and verbal communication across engineering teams.

• Many candidates will have 5+ years of relevant experience. Exact tool overlap is not required if your platform fundamentals are strong.

• Experience with AI infrastructure, regulated systems, disaster recovery, or high-traffic applications is useful but not required.

Technical context

Our infrastructure runs on AWS. We use ECS and ECR for container workloads, Terraform and Terragrunt for infrastructure as code, GitHub Actions for CI/CD, and CloudWatch for monitoring. The broader environment includes RDS, DocumentDB, Redis, S3, CloudFront, Application Load Balancers, IAM, and Secrets Manager. Most automation is written in Python or shell.

How we work

• A small, senior engineering team with high autonomy.

• Application teams own the services they ship. Platform makes that ownership easier 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 and benefits

• Base salary: $180,000 to $240,000, plus equity.

• Benefits reimbursement.

About Doctronic

Doctronic is the #1 AI Doctor and the first AI legally authorized to practice medicine. We process millions of consultations monthly, with 99%+ treatment-plan accuracy validated by board-certified clinicians. At doctronic.ai, people can receive free, anonymous, HIPAA-compliant AI consultations and connect with human physicians for affordable visits, available 24/7 across all 50 states. Doctronic raised its seed, Series A, and Series B rounds between February 2025 and January 2026, with backing from Union Square Ventures, Lightspeed Venture Partners, and Abstract.