СШАEngineering Manager, Platform
1 мес. назад
200k–300k USD / годСШАLeadHybrid
engineering managementplatform engineeringproduction reliabilityinfrastructuresecurityautomation
Lead and manage a platform engineering team responsible for production system reliability, engineering enablement, and infrastructure at .
О компании
- 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.
- 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 .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.
- 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
Обязанности
- 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 . 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.
- 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 grows.
Требования
- 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.
Условия
- New York City and San Francisco base salary: $200,000 to $300,000, plus equity.
- Benefits reimbursement.
Другое
- 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.