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Hinge HealthHinge HealthSan Francisco, CA

Sr. Engineering Manager

Leads SRE/platform team owning cloud infrastructure reliability, AI-native workflows, CI/CD scaling, and developer experience for a healthcare SaaS platform. Requires 10+ YOE, 4+ years managing engineers, hands-on AWS/K8s/Terraform expertise.

212k – 318k
Hybrid10+ YOEEngineering Management

About the role

What You'll Accomplish

In your first 3 months:

  • Establish relationships with key stakeholders across Security, Product Engineering, Data Engineering, and the India-based SRE team.
  • Audit the current infrastructure posture, on-call practices, and CI/CD pipelines to identify the highest-leverage improvement opportunities.
  • Assess your team of 8–10 engineers (Staff, Senior, and mid-level SREs), understand individual growth trajectories, and begin shaping a coaching-first operating cadence.

In your first 6 months:

  • Own Platform Reliability & Scalability — Guarantee stability and performance across multiple EKS clusters, maintaining 99.9%+ uptime while optimizing cost-efficiency as AI workloads scale.
  • Drive the Harness Engineering Initiative — Define safety rails, test harnesses, and verification systems that allow autonomous AI agents to reliably build, test, and maintain infrastructure in production-grade environments.
  • Scale the NestJS Monorepo & CI/CD Platform — Accelerate migration of all NestJS services into the monorepo, ensuring NX, GitHub Actions, and Okteto deliver a world-class developer experience.

In your first year:

  • Execute Vendor Strategy & Cost Optimization — Own relationships with AWS, Datadog, Cloudflare, Temporal, and Infisical; deliver significant cost savings as Hinge Health scales infrastructure and AI workloads.
  • Champion Operational Excellence — Run a follow-the-sun support model, maintain 24/7 on-call coverage, lead the Incident Review Board, and continuously improve SLOs, runbooks, and observability to reduce MTTR.
  • Build a High-Performing, Inclusive Team — Develop talent toward Senior and Staff levels, maintain sustainable on-call practices, and foster a culture of blameless retros and continuous improvement.

Who You Are

  • A Platform Thinker — You see infrastructure as a product. You obsess over developer experience metrics (DXI, DORA, PR throughput) and build systems that reduce friction for every team you serve.
  • AI-Forward — You're energized—not threatened—by the shift to AI-assisted engineering. You've experimented with tools like Cursor, Claude Code, or Copilot and can envision a world where engineers act as architects and auditors of AI-generated code.
  • A Trust Builder — You communicate effectively across engineering, security, product, and executive stakeholders to align infrastructure decisions with business priorities.
  • A Learn-it-All — You don't have all the answers, but you have a proven framework for finding them. You lead blameless retros that convert insights into action and measure what matters most.
  • Hands-On & Accountable — You know the ins and outs of your team's tech stack and spend ~15% of your time working in the code. You take owner-operator pride in supporting production systems.
  • Resilient — You thrive in fast-paced, ambiguous environments and can make results happen even with imperfect data—whether that's navigating a breaking-change migration at scale or an unexpected incident.

Basic Requirements

  • 10+ years of professional experience in technology, with depth in SaaS platforms and large-scale distributed systems.
  • 4+ years managing engineering teams of 6+ direct reports, including Senior and Staff-level engineers.
  • Deep hands-on expertise with cloud infrastructure (AWS), container orchestration (Kubernetes/EKS), and Infrastructure as Code (Terraform).
  • Proven track record owning platform reliability at scale — including incident management, SLO-driven operations, and cost optimization.
  • Cross-functional leadership experience spanning multiple engineering teams and geographies.

Preferred Requirements

  • Experience leading the adoption of AI-native engineering workflows (Cursor, Claude Code, Copilot) where engineers serve as architects and auditors of AI-generated infrastructure code.
  • Passion for developer productivity — experience building internal platforms that measurably improve DXI, DORA metrics, or PR throughput.
  • Deep SRE & Platform Engineering experience: production Kubernetes at scale, CI/CD platforms (GitHub Actions, Helm), observability (Datadog), and secrets management (Infisical, Vault).
  • Experience with trunk-based CI/CD, healthcare compliance (HIPAA, HITRUST, SOC 2, CCPA), and NestJS/TypeScript ecosystems.

Skills

AWSKubernetesEKSTerraformNestjsGitHub ActionsDatadogNxOktetoTemporalInfisicalHelmTypeScript
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