The Cloud Engineer will be responsible for the design, deployment, and operational excellence of the UrineSense DaaS platform's underlying infrastructure on Google Cloud Platform (GCP). This role focuses on building a highly reliable, scalable, and secure environment that supports multi-tenancy, real-time data ingestion, and PHI compliance (HIPAA/GDPR).
Key Responsibilities
● Infrastructure as Code (IaC): Develop and maintain all cloud infrastructure using Terraform, ensuring the environment is reproducible, auditable, and adheres to strict security standards (e.g., CIS benchmarks).
● Platform Deployment: Deploy and manage core services, including Cloud Healthcare API, Cloud Pub/Sub, Cloud Run, Cloud Functions, and BigQuery.
● Networking & Security: Configure secure network topologies using VPC Service Controls to create security perimeters around PHI data. Manage IAM roles, encryption keys (KMS), and firewall rules.
● CI/CD & DevOps: Implement and manage continuous integration and continuous deployment (CI/CD) pipelines using Cloud Build, enabling fast, safe, and automated deployment of microservices (FHIR Translation Engine, Consent Service) to Cloud Run.
● Monitoring & Observability: Establish comprehensive monitoring, logging, and alerting using Cloud Monitoring and Cloud Logging to ensure high availability and meet stringent Service Level Objectives (SLOs) for the DaaS platform.
● Scalability: Design Pub/Sub topics and microservice autoscaling policies to handle millions of real-time data ingestion events from UrineSense devices globally.
Required Qualifications
● Experience: 5+ years in cloud engineering or DevOps, with 3+ years specifically on Google Cloud Platform (GCP).
● GCP Services: Expert proficiency with core GCP services (VPC, Pub/Sub, Cloud Run, BigQuery, IAM, Cloud Build).
● DevOps Tools: Expert in Infrastructure as Code (Terraform is mandatory) and CI/CD best practices.
● Security & Compliance: Demonstrated experience implementing cloud security controls for regulated environments (HIPAA BAA requirements, data isolation, encryption at rest/in transit).
● Networking: Strong foundation in cloud networking, firewalls, and data egress controls.
Preferred Qualifications
● GCP Professional Cloud Architect or Professional DevOps Engineer certification.
● Experience in configuring and optimizing the Google Cloud Healthcare API.
● Proficiency in Python or Go for writing service definitions and automation scripts.
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