DevOps Engineer

🏢 VELZI.AI LIMITED · all VELZI.AI LIMITED jobs
📍 Indonesia
📅 Posted 2026-08-21 · via Himalayas
🏷 DevOps-Engineer,Cloud-Infrastructure-Engineering,Site-Reliability-Engineering,Platform-Engineering,Cloud-Engineer,DevOps-Software-Engineer,Cloud-DevOps-Engineer,ProdOps-Engineer,DevOps-Automation-Engineer,Infrastructure-DevOps-Engineer,AWS-DevOps-Engineer,TechOps-Engineer,Lead-DevOps-Engineer,CloudOps-Engineer
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Location: Remote | Type: Full-time | Compensation: Competitive salary + stock option
🚀 About VELZI AI

At VELZI AI , we’re redefining finance for the modern business. Our mission is to eliminate manual accounting through advanced AI automation. From procurement to real-time financial reporting, our intelligent SaaS platform streamlines every operational workflow, so companies can focus on growth, not spreadsheets.

We’re a fast-growing, AI-driven fintech startup backed by innovation and a clear, ambitious vision. Now, we’re searching for a DevOps Engineer to help us scale our infrastructure, ensure reliability, and power our next generation of AI-driven financial systems.
💼 About the Role

As a DevOps Engineer at VELZI AI , you’ll build, maintain, and scale a secure, cloud-native infrastructure across GCP, Azure, and AWS . You’ll work closely with our engineering team to ensure seamless deployment pipelines, reliable environments, and high-performance systems that support our AI and fintech applications.

You’ll be the backbone of our infrastructure and enabling fast iteration, smooth deployments, and resilient architectures.
Tasks
🔧 What You’ll Do

☁️ Cloud Infrastructure & Systems

- Design, deploy, and maintain cloud infrastructure across GCP, Azure, and AWS

- Manage and optimize compute environments including Virtual Machines , Cloud Run , and container orchestration platforms

- Architect scalable, multi-region solutions with high availability, redundancy, and strong security practices

- Manage and monitor cloud storage solutions such as GCP Cloud Storage , Azure Blob Storage , and AWS S3

🐳 Containers, Orchestration & Scaling

- Build, deploy, and manage containers using Docker

- Deploy and manage services on Kubernetes (GKE / AKS / EKS)

- Implement auto-scaling strategies, load balancing, and autoschedulers

- Optimize resource utilization and cost efficiency across environments

🔄 CI/CD, Automation & Deployment

- Build and maintain CI/CD pipelines (GitHub Actions, GitLab, or similar)

- Automate deployments, updates, rollbacks, and environment provisioning

- Create infrastructure-as-code using tools like Terraform or Pulumi

- Push our platform toward full automation and self-healing systems

🔌 Networking, Security & Integrations

- Configure VPCs, VPNs, firewalls, DNS, subnets, and secure routing

- Ensure secure API communication between our Next.js app and backend services

- Implement monitoring, logging, and alerting systems (Prometheus, Grafana, Cloud Logging, Azure Monitor, CloudWatch, etc.)

- Ensure compliance, data protection, and identity management across clouds

- Work with Firebase Authentication , secure API gateways, and IAM policies

⚙️ Backend, APIs & System Support

- Collaborate with engineers to support API creation and deployments

- Optimize performance of server environments running in Cloud Run or VMs

- Implement failover systems, disaster recovery, and backup strategies

- Ensure reliable operation of services including SES / SendGrid , databases, and microservices

🤝 Collaboration & Reliability Engineering

- Work closely with backend, AI, and product teams to support rapid iteration

- Establish DevOps best practices, guidelines, and internal documentation

- Conduct root-cause analysis, implement fixes, and prevent future incidents

- Help shape the engineering culture by improving processes, scalability, and system observability

Requirements
✅ What We’re Looking For

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Proven experience as a DevOps Engineer, Cloud Engineer, or Site Reliability Engineer

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Strong experience with GCP, Azure, and/or AWS (multi-cloud experience is a huge plus)

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In-depth knowledge of Kubernetes, Docker, Cloud Run, and container-based application delivery

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Experience with CI/CD tooling and automation frameworks

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Solid understanding of networking, firewalls, DNS, and cloud security models

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Experience with VM deployment , Cloud Run (or similar), autoscaling, and infra optim

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