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

• Design with Impact – Create elegant, modern, and user-centric designs in Figma, with a deep focus on usability, aesthetics, and consistency. • Prototype in Framer – Build interactive, high-fidelity prototypes in Framer to bring ideas to life and test user flows. • Convert Designs to Code – Translate your own Figma designs into clean, responsive HTML/CSS to support rapid development and prototyping. • Define UI Systems – Develop scalable design systems and UI libraries for use across our product ecosystem. • Collaborate Closely – Work hand-in-hand with product managers, developers, and other stakeholders to align design with business goals and technical feasibility. • User Testing & Feedback – Help conduct usability testing, collect user feedback, and iterate quickly to improve experiences.

• Build, maintain, and scale a secure, cloud-native infrastructure across GCP, Azure, and AWS • Work closely with our engineering team to ensure seamless deployment pipelines, reliable environments, and high-performance 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 • 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 • Configure VPCs, VPNs, firewalls, DNS, subnets, and secure routing • Ensure secure API communication between our Next.js app and backend services • Collaborate with engineers to support API creation and deployments • Optimize performance of server environments running in Cloud Run or VMs