About Sage Care

Sage Care is a fast-growing, early-stage healthcare startup founded by exceptional leaders from Apple, Uber, Carbon Health and backed by top-tier venture capital (General Catalyst, Chelsea Clinton). With a strong customer pipeline, Sage Care is transforming healthcare by simplifying care navigation.

Our platform makes it easier for patients to find the right doctor, helps providers focus on those who need them most, and ensures faster access to care—delivering better care and stronger economic outcomes at scale through harnessing the latest AI innovations.

Building on our successful collaborations with health systems across the U.S., we have expanded internationally to the MENA region. We are now partnering with health systems there to deploy our AI-powered care navigation platform.

About the Role

We’re hiring a hands-on DevOps Engineer to help architect, scale, and harden the infrastructure powering Sage Care’s AI-driven healthcare platform.

This role sits at the center of our engineering delivery engine — owning cloud infrastructure, Kubernetes platform reliability, CI/CD pipelines, and Bazel-based build systems. You’ll work closely with backend and AI engineers to ensure our systems are secure, observable, and built to support real-time, production-grade healthcare workloads.

As a Series A company experiencing rapid growth, we need someone who can move fluidly between infrastructure architecture, release engineering, and production reliability — and who takes pride in building clean, automated systems that reduce risk and increase developer velocity.

This is a high-impact role with meaningful ownership. You won’t just maintain infrastructure — you’ll shape how it evolves as we scale.

Key Responsibilities

Infrastructure Architecture & Automation

• Design, build, and maintain cloud infrastructure in GCP using Terraform.

• Architect and manage Kubernetes (GKE) clusters across dev, staging, and production.

• Improve networking, IAM, ingress architecture, and environment isolation.

• Build reusable infrastructure modules and eliminate configuration drift.

• Ensure infrastructure is scalable, cost-efficient, and production-grade.

CI/CD & Deployment Reliability

• Design and maintain CI/CD pipelines that enable safe, rapid deployments.

• Own and optimize Bazel build configuration, caching, and reproducibility.

• Improve build performance and developer velocity within a monorepo environment.

• Implement safe release strategies (canary, blue/green, rollbacks).

• Ensure environment parity and reduce deployment-related incidents.

Observability & Reliability

• Implement and improve logging, monitoring, and alerting across services and Kubernetes workloads.

• Establish SLIs/SLOs and drive reliability improvements.

• Reduce MTTR through improved visibility and incident response processes.

• Improve production readiness standards and postmortem practices.

• Ensure infrastructure supports increasing AI workloads and real-time traffic.

Security & Compliance

• Strengthen IAM, secrets management, and least-privilege access controls.

• Harden Kubernetes clusters and cloud infrastructure against misconfiguration.

• Partner with security leadership to support HIPAA and SOC2 compliance requirements.

• Improve auditability, change tracking, and infrastructure governance.

• Embed security best practices directly into CI/CD and build workflows.

Qualifications

Required

• 4–7+ years of DevOps, SRE, or Infrastructure Engineering experience.

• Strong hands-on experience with GCP and Kubernetes (GKE preferred).

• Deep experience with Terraform and infrastructure-as-code.

• Experience building and maintaining CI/CD pipelines.

• Experience working with Bazel or similar build systems in production environments.

• Strong understanding of networking, IAM, and cloud security fundamentals.

• Experience supporting production systems with uptime requirements.

Nice to Have

• Experience supporting HIPAA or SOC2 environments.

• Experience in early-stage or high-growth startups.

• Familiarity with AI/ML infrastructure or real-time systems.

• Experience with release engineering best practices in monorepos.

What Success Looks Like in This Role

• Reliable, fast builds with Bazel and stable CI/CD pipelines.

• Infrastructure fully codified and standardized across environments.

• Predictable, low-risk application releases.

• Improved production uptime and reduced incident frequency.

• Strong security posture aligned with compliance requirements.

Compensation Range: $125K - $200K