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.
Lead engineering teams building and operating Airbnb's global payments platform. Requires 9+ years software engineering experience including 3-5+ years managing teams, strong backend systems expertise, product instinct, and ability to balance execution with long-term platform health at scale.
212k – 265k
Remote9+ YOEEngineering Management
Engineering Manager, Benefits
JustworksNew York, NY
Engineering Manager leading a team that builds scalable web applications for employee benefits management (health, wealth, international). Partners with Product/Design on roadmap execution, mentors engineers, drives technical decisions in a regulated environment. Requires 7+ years software engineering experience plus management background.
Leads engineering teams building Segmentation and Insights Platforms for Airbnb's marketing technology, driving technical strategy, roadmap execution, and AI-native practices for real-time customer segmentation, anomaly detection, and autonomous agent systems.
212k – 265k
Remote9+ YOEEngineering Management
Manager, Forward Deployed Engineering
DatabricksMaryland +2
Lead and scale a team of Forward Deployed Engineers delivering large-scale data migrations, AI/ML, and GenAI solutions for Public Sector customers. Requires 4+ years people leadership and 5+ years hands-on technical experience in data/AI engineering or solutions architecture.
212k – 291k
Hybrid7+ YOEEngineering Management
Manager, Forward Deployed Engineering
DatabricksUnited States
Lead and scale a team of Forward Deployed Engineers and AI Engineers delivering large-scale data migrations, AI/ML platforms, and enterprise engagements for strategic Databricks customers.