# Sr. Engineering Manager

**Company:** [Hinge Health](https://hotfix.jobs/companies/hinge-health)
**Location:** San Francisco, CA
**Role:** Engineering Management
**Salary:** $212k – $318k/yr
**Experience:** 10+ years
**Skills:** AWS, Kubernetes, EKS, Terraform, Nestjs, GitHub Actions, Datadog, Nx, Okteto, Temporal, Infisical, Helm, TypeScript
**Posted:** 2026-05-08

> 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.

## Job Description

## 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.

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