We are looking for a hands-on Lead CloudOps Engineer to oversee the reliability, scalability, automation, and day-to-day operations of our GCP-based cloud platform. You will drive infrastructure automation, improve developer workflows, enhance observability, and ensure secure, stable platform operations.
Requirements
- 8+ years of DevOps, CloudOps, or platform engineering experience.
- Deep hands-on experience with GCP, including: GKE, workload identity, cluster networking, VPC design, firewalls, load balancers, BigQuery, Pub/Sub, Cloud SQL, Cloud Storage, Cloud Run, Cloud Functions, IAM, KMS, Secret Manager.
- Strong expertise with Terraform, including modules, workspaces, and governance patterns.
- Strong CI/CD experience with Git-based workflows and pipeline automation.
- Solid understanding of Linux, networking basics, containerization, and distributed systems.
- Experience supporting production workloads in a regulated environment (HIPAA, HITRUST, SOC 2 or similar).
- AWS (Operational Proficiency Required) Practical experience supporting AWS operations (not architecture-heavy), including: EC2, EKS, and ALB/NLB, S3, RDS, CloudWatch, IAM troubleshooting, Network troubleshooting (VPC, Security Groups, Route 53)
Benefits
- Competitive salary and benefits package.
- Flexible working arrangements (remote or hybrid options available).
- The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
- Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
- Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.
