
Gabeo ai is Hiring Devops Engineer
Gabeo ai
Gabeo ai off campus drive : Job Overview
| Company | Gabeo ai |
| Location | India |
| Category | Software |
| Employment Type | full-time |
| Posted | 18 Dec 2025 |
| Status | Active |
Job Description
HIRING: DEVOPS ENGINEER (GCP | KUBERNETES | TERRAFORM)
IMMEDIATE JOINERS ONLY
Company: Gabeo.ai
Job Role: DevOps Engineer
Employment Type: Full-Time
Work Mode: Remote
Start Date: Immediate (December 20, 2025)
About Gabeo.ai
Gabeo.ai is a fast-growing, venture-backed HealthTech AI startup working with leading healthcare organizations. The company builds AI-driven revenue cycle management platforms that help hospitals detect revenue leakage, recover lost revenue, and operate with audit-grade accuracy.
This role offers end-to-end ownership of cloud infrastructure, CI/CD, security, and reliability for production-grade healthcare AI systems on Google Cloud Platform (GCP).
Role Overview
This position is ideal for a hands-on DevOps Engineer who thrives in startup environments, owns systems from design to production, and has strong experience building cloud-native, scalable, and secure platforms on GCP.
Key Responsibilities
Cloud Infrastructure (GCP)
- Design, build, and maintain cloud infrastructure on Google Cloud Platform (GCP)
- Operate production services using:
- Cloud Run (containerized workloads)
- Google Kubernetes Engine (GKE)
- Cloud SQL (PostgreSQL)
- BigQuery (analytics & data workloads)
- Cloud Storage, Cloud Tasks, Pub/Sub
CI/CD & DevOps Automation
- Design and optimize CI/CD pipelines for fast and reliable deployments
- Implement Infrastructure as Code (Terraform) across environments
- Automate deployments, rollbacks, and environment provisioning
Reliability, Monitoring & Operations
- Ensure high availability, scalability, and performance of production systems
- Set up monitoring, logging, alerting, and incident response workflows
- Respond to production incidents and perform root-cause analysis
Database & Performance Engineering
- Manage PostgreSQL performance, scaling, backups, and reliability
- Implement indexing, tuning, and optimization strategies
Security & Cost Optimization
- Enforce cloud security best practices, IAM policies, secrets management
- Secure service-to-service communication and audit logging
- Drive cost optimization and FinOps best practices across GCP
Collaboration & Ownership
- Work closely with Backend, Frontend, and AI Engineers
- Establish and document DevOps standards and best practices
- Take full ownership from design to production
Required Skills & Experience
Core Experience
- 3+ years in DevOps / Cloud Infrastructure / SRE
- Strong production experience on Google Cloud Platform
Cloud & Containers
- Docker
- Kubernetes (GKE)
- Cloud Run
- Microservices & cloud-native architectures
Infrastructure as Code
- Terraform (mandatory, production-level experience)
CI/CD & Operations
- CI/CD pipeline design and deployment automation
- Monitoring, logging, alerting, and rollback strategies
Databases
- PostgreSQL (performance tuning, backups, reliability)
Security & Reliability
- IAM, secrets management, secure communication patterns
Nice to Have (Preferred Skills)
- Experience with AI, data, or analytics platforms
- BigQuery hands-on experience
- Messaging systems: Pub/Sub, Cloud Tasks
- Healthcare or regulated-industry exposure
- FinOps / cost monitoring experience
- Google Cloud Certifications
Why Join Gabeo.ai
- Immediate impact on real production systems
- Full ownership of DevOps and cloud foundation
- Work with a senior, highly technical engineering team
- Solve meaningful problems in Healthcare + AI
- Remote-first culture with autonomy and accountability
High CPC Keywords (AdSense Optimized)
DevOps Engineer Jobs, GCP DevOps Engineer, Google Cloud Engineer, Kubernetes Engineer, Terraform Engineer, Cloud Infrastructure Engineer, SRE Jobs, Cloud Automation Engineer, CI/CD Engineer, Remote DevOps Jobs
High CPC Countries
United States, Canada, United Kingdom, Germany, Australia, Netherlands, Singapore, United Arab Emirates
Ready to apply?
You'll be redirected to the company's site
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