Job Title

PLEASE READ **IMMEDIATE JOINERS ONLY** Only apply if you're ready to start right away.Position: DevOps EngineerLocation: RemoteEmployment Type: Full-timeStart Date: Immediate - December 20th, 2025Please apply only if you are available to be incorporated next week.About Gabeo.aiGabeo.ai is a fast-growing, venture-backed health technology startup partnering with leading healthcare organizations. We build AI-driven products for revenue cycle management, helping hospitals detect revenue leakage, recover lost revenue, and operate with audit-grade accuracy.We are scaling our engineering team rapidly and are looking for a hands-on DevOps Engineer who can own cloud infrastructure, CI/CD, reliability, and security for production healthcare AI systems.This role is ideal for someone who enjoys end-to-end ownership, thrives in a startup environment, and has strong experience designing and operating cloud-native systems on Google Cloud Platform.What You’ll DoDesign, build, and maintain cloud infrastructure on Google Cloud Platform (GCP)Own and operate production services using:Cloud Run for containerized workloadsGKE (Kubernetes) for orchestrationCloud SQL (PostgreSQL) for managed databasesBigQuery for analytics and data workloadsCloud Storage, Cloud Tasks, and Pub/SubDesign, implement, and optimize CI/CD pipelines for fast, reliable deploymentsImplement and manage Infrastructure as Code (Terraform) across environmentsEnsure high availability, scalability, and performance of production systemsMonitor system health, set up alerts, and respond to production incidentsManage and optimize PostgreSQL performance, scaling, backups, and reliabilityImplement cloud security best practices, IAM policies, secrets management, and loggingDrive cost optimization and resource efficiency across GCPEstablish and document DevOps best practices for a growing engineering teamCollaborate closely with Backend, Frontend, and AI Engineers to support rapid product deliveryRequired Skills and ExperienceCore Experience3+ years of professional experience in DevOps / Cloud Infrastructure / SREProven experience running production workloads on Google Cloud PlatformCloud & ContainersStrong hands-on experience with:DockerKubernetes (GKE)Cloud RunExperience with microservices and cloud-native architecturesInfrastructure as CodeTerraform (required) — production experience managing infrastructure via codeCI/CD & OperationsExperience designing and maintaining CI/CD pipelinesStrong understanding of deployment automation and rollback strategiesExperience with monitoring, logging, and alerting systemsDatabasesExperience with PostgreSQL, including:Performance tuningIndexing and optimizationBackup and reliability strategiesSecurity & ReliabilityKnowledge of cloud security best practicesExperience with IAM, secrets management, and secure service-to-service communicationPreferred Skills (Nice to Have)Experience supporting AI, data, or analytics-heavy systemsHands-on experience with BigQueryExperience with message queues and async processing (Pub/Sub, Cloud Tasks)Prior experience in healthcare or regulated environmentsFamiliarity with cost monitoring and FinOps practicesGoogle Cloud certifications (Associate / Professional level)How You WorkStrong problem-solving and debugging skillsSystems thinker who understands scalability and failure modesOwnership mindset — you take responsibility from design to productionPerformance- and reliability-focusedSecurity-conscious in real-world production systemsClear communicator who documents decisions and processesComfortable working in a fast-moving startup environmentWhy Join Gabeo.aiImmediate impact — your work runs in production and matters from day oneOpportunity to own and shape the cloud and DevOps foundation of the companyWork closely with a senior, highly technical teamExposure to complex, meaningful problems in healthcare and AIRemote-first culture with autonomy and accountabilityChance to build systems at scale for a high-traction Silicon Valley health-tech startupIf this sounds like the right fit and you are available to start immediately, we’d love to hear from you.