← Lavori

Senior DevOps & Cloud Infrastructure Engineer (GCP)

Budget: $20.0 - $30.0 HOURLY / FULL_TIME ⭐ 4.98 (53) United States

cloud-architecture, python, google-cloud-platform, devops, kubernetes, docker, cicd-platforms, automated-deployment

We are looking for a highly capable Senior DevOps & Cloud Infrastructure Engineer to help design, scale, secure, and operate our cloud platform running on Google Cloud Platform (GCP). This role is focused on cloud infrastructure, Kubernetes, platform engineering, automation, observability, and production reliability. While experience with edge devices or IoT systems is a plus, our primary need is a strong cloud infrastructure engineer who can build and operate reliable production systems at scale. Responsibilities Cloud Infrastructure & Platform Engineering Design, deploy, and maintain scalable infrastructure on Google Cloud Platform (GCP) Manage and optimize production services running on: GKE (Google Kubernetes Engine) Cloud Run Pub/Sub Cloud SQL Artifact Registry IAM VPC Networking Cloud Monitoring & Logging Improve cloud scalability, reliability, performance, and operational efficiency Implement Infrastructure-as-Code using Terraform Kubernetes & Platform Operations Design and manage production Kubernetes clusters Implement deployment strategies including canary, blue-green, and staged rollouts Improve cluster security, reliability, autoscaling, and cost efficiency Manage containerized workloads and production environments CI/CD & Developer Productivity Build and maintain CI/CD pipelines using GitHub Actions and related tooling Improve deployment automation and release management Support development teams with platform tooling and operational best practices Automate operational workflows and infrastructure provisioning Observability & Reliability Engineering Design monitoring, alerting, and logging systems Improve visibility across services, infrastructure, APIs, and deployments Drive incident response, root-cause analysis, and operational improvements Establish reliability best practices including SLOs, SLIs, error budgets, and service ownership Security & Compliance Implement security best practices across cloud infrastructure Manage IAM policies, secrets management, certificates, and access controls Support SOC2, HIPAA, and enterprise security requirements Improve auditability and operational security posture Collaboration Work closely with AI engineers, backend engineers, robotics engineers, and product teams Help define cloud architecture and infrastructure strategy Support deployment and scaling of production healthcare systems Required Qualifications 5+ years of DevOps, Platform Engineering, Cloud Infrastructure, or SRE experience Strong hands-on experience with Google Cloud Platform (GCP) Strong Kubernetes experience in production environments Strong experience with Docker and containerized workloads Experience with Terraform or similar Infrastructure-as-Code tools Experience building and maintaining CI/CD pipelines Strong Linux systems administration skills Strong networking fundamentals (VPCs, VPNs, DNS, firewalls, load balancing) Experience with monitoring and observability platforms Strong scripting or programming skills in Python and/or Bash Experience operating production systems with high availability requirements Preferred Qualifications Experience with GKE at scale Experience with Cloud Run, Pub/Sub, and Cloud SQL Experience with GitOps tools such as ArgoCD Experience supporting AI/ML infrastructure Experience with GPU workloads Experience with distributed systems and event-driven architectures Experience with SOC2 or HIPAA compliance Experience with edge computing or IoT deployments Experience supporting NVIDIA Jetson or Linux-based edge devices
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