[Hiring] DevOps Engineer @VELZI.AI LIMITED

Role Description

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 enabling fast iteration, smooth deployments, and resilient architectures.

Qualifications

• Proven experience as a DevOps Engineer, Cloud Engineer, or Site Reliability Engineer
• Strong experience with GCP, Azure, and/or AWS (multi-cloud experience is a huge plus)
• In-depth knowledge of Kubernetes, Docker, Cloud Run, and container-based application delivery
• Experience with CI/CD tooling and automation frameworks
• Solid understanding of networking, firewalls, DNS, and cloud security models
• Experience with VM deployment, Cloud Run (or similar), autoscaling, and infra optimization
• Strong understanding of cloud storage solutions (Blob, S3, Cloud Storage)
• Experience with Authentication, IAM, or identity systems is a bonus
• Understanding of API architecture, microservices, and distributed systems
• Experience with Terraform, Pulumi, or other infrastructure-as-code tools
• Bonus: Experience with observability stacks, FinOps cost optimization, or AI infrastructure
• You’re a problem-solver who thrives in fast-moving environments
• You’re comfortable owning systems end-to-end and improving processes proactively
• You're collaborative, communicative, and enjoy cross-functional teamwork

Requirements

• 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
• 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
• 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
• 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
• 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
• 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

Benefits

• Remote-first & flexible – Work from wherever you do your best work
• Cutting-edge tech – Work with AI, automation, and the latest dev tools
• Rapid growth – Be part of an early-stage rocket ship
• Collaborative culture – Join a team that values innovation, autonomy, and teamwork
• Competitive salary & equity – Get well-compensated with generous stock options
• Career advancement – As we scale, so do your opportunities