Engineering Manager, Platform

Doctronic; San Francisco (CA); Hybrid; USD 200,000 - 300,000; Full time

Benefits offered by this job

Equity

Benefits reimbursement

Job summary

Doctronic is seeking an Engineering Manager to lead the platform engineering team in NYC or SF, hybrid. You will guide architecture, develop engineers, and contribute to production code and operations, focusing on reliability, security, and cost.

You will build an AI-native engineering environment, own platform services delivery, and mentor engineers while collaborating with product, data, and security teams. Remote options may apply for top candidates.

Qualifications

• Experience leading platform/infrastructure or developer productivity teams.
• Strong technical background; able to contribute production code and automation.
• Judgment to evaluate architecture, reliability, security, cost, and delivery tradeoffs.
• Track record turning ambiguous priorities into clear work and shipped improvements.
• Experience improving developer environments, CI/CD, observability, and internal tools.
• Experience using coding agents and understanding where automation helps engineering work.
• Proven ability to grow teams, coach engineers, and hire effectively.
• Clear communication across engineering and leadership.

Responsibilities

• Lead and grow a platform engineering team with clear goals, feedback, and high standards.
• Set priorities with application, AI, data, security, and product teams by impact.
• Improve reliability, scalability, and operation of production services; reduce build/test/deploy effort.
• Guide technical decisions; contribute to platform code, infrastructure, and automation.
• Build an AI-native environment with agent-ready repos, interfaces, validation, and workflows.
• Improve how agent work is scoped, supplied with context, verified, and automated.
• Track delivery speed, CI performance, reliability, and operational load.
• Lead incident response and ensure durable improvements from follow-ups.
• Hire strong engineers and expand the team as the platform grows.

Skills

Platform engineering

Code contribution

Architecture judgment

CI/CD improvement

Observability

Developer tools

Hiring and coaching

Communication

AWS experience

Python

Shell

Tools

AWS

ECS

ECR

Terraform

Terragrunt

GitHub Actions

CloudWatch

Python

Job description

Engineering Manager, Platform

Doctronic | New York City or San Francisco (hybrid) | 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 an Engineering Manager to lead the team responsible for the systems used to build, deploy, observe, and operate Doctronic. Your team will improve production reliability and make every engineer more effective.

This is a hands-on management role. You will set direction, develop engineers, guide architecture, and contribute directly to platform code and operations. You will be accountable for engineering enablement, reliability, security, and infrastructure cost.

We expect engineering leaders to work AI-natively. You will make agents and automation a normal part of planning, implementation, review, debugging, and operations. Your team will improve the context, tooling, validation, and guardrails that help agents complete useful work safely.

What you will 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 the reliability, scalability, and operation of production services. Reduce the time and effort required 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 that follow-up work produces durable improvements.

• Hire strong engineers and build a team that can take on broader scope as Doctronic grows.

What we are looking for

• Experience managing and developing platform, infrastructure, or developer productivity engineers.

• A strong technical background and current ability to contribute production code, infrastructure, and automation.

• The judgment to evaluate architecture, reliability, security, cost, and delivery tradeoffs.

• A record of turning ambiguous company 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 and a clear view of where they improve engineering work and where human judgment remains essential.

• Evidence that you have 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 eight or more years of engineering experience, including two or more years managing engineers. We care more about the teams and systems you improved than a specific title or exact tool match.

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.

• Managers are responsible for team health, technical quality, and delivery outcomes.

• High standards for patient safety, privacy, reliability, and code quality.

Compensation and benefits

• New York City and San Francisco base salary: $200,000 to $300,000, 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 between February 2025 and January 2026, with backing from Union Square Ventures, Lightspeed Venture Partners, and Abstract