DevOps Engineer

High Trail; Palo Alto (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

High Trail seeks a hands-on DevOps Engineer to architect, scale, and harden the infrastructure powering an AI-driven healthcare platform. You’ll own cloud infrastructure, Kubernetes platform reliability, CI/CD pipelines, and Bazel-based build systems.

You’ll work closely with backend and AI engineers to ensure security, observability, and real-time, production-grade workloads. This is a high-impact role with meaningful ownership.

Qualifications

• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.

Skills

DevOps experience

SRE mindset

Cloud security fundamentals

Networking

Observability

Tools

GCP

Kubernetes (GKE)

Terraform

CI/CD pipelines

Bazel

Job description

We’re helping a client hire a hands-on DevOps Engineer to help architect, scale, and harden the infrastructure powering an 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.

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

• 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.