Senior DevOps Engineer - AI & UBOS

DT Cloud is a global digital transformation cloud computing company with a local presence. Since our first launch in 2006, we evolved from being a software development and R&D service provider to a telco responsible for thousands of installations of carrier network infrastructure from 2G through to 5G. In 2018, we packed our experience and created an enterprise-grade 5G-ready multi-regional cloud computing and digital enabling company.

Today, DT creates hyper-scale cloud services and innovative solutions in an affordable, secure and stable alternative platform. Through cloud computing, Big Data and technologies like AI/ML, IoT, Blockchain, DT enables digital transformation and helps governments, organizations and companies of all sizes and industries to further innovate and grow. DT Cloud transforms, optimizes and modernizes industries and people’s lives as a technological enabler both for the physical and digital worlds.

About UBOS

UBOS (Unified Business Operating System) is a next-generation low-code/no-code platform designed to help businesses rapidly build and deploy AI applications, automate workflows, and integrate with 1000+ data sources and APIs. We’re on a mission to democratize AI and automation—making it accessible to developers, teams, and enterprises through open-source tools, simplified infrastructure, and powerful orchestration.

Why This Role Matters

We’re building out robust multi-cluster orchestration, Bring Your Own Cloud (BYOC) capabilities, and 1-click deployment experiences. As we add MLOps and LLMOps layers to our platform, we’re searching for an experienced DevOps Engineer to lead the design and implementation of cloud-native infrastructure that supports both power users and AI-driven workflows.

What You’ll Do

• Architect and maintain a scalable infrastructure that supports BYOC and multi-cloud deployments
• Develop and maintain Helm-based deployment workflows, enabling users to deploy open-source tools or their own custom solutions with ease
• Drive the evolution of our 1-click deployment system to simplify user onboarding
• Lead infrastructure efforts to support MLOps/LLMOps use cases
• Automate provisioning, scaling, and monitoring of services using Terraform, eksctl, Helm, and CI/CD pipelines
• Own system reliability and observability across multi-cluster environments
• Collaborate with backend, frontend, and AI teams to streamline DevOps processes across the platform
• Stay up to date with cloud-native trends and evaluate new tools that can boost developer productivity and platform robustness

What We’re Looking For

• 5+ years of DevOps experience in fast-paced environments
• Deep understanding of Kubernetes, Helm, and containerized infrastructure
• Experience with multi-cloud environments and hybrid infrastructure (BYOC, user-managed clusters)
• Proficiency in Infrastructure as Code (Terraform, Helmfile, eksctl, CloudFormation)
• Familiarity with MLOps/LLMOps pipelines and best practices for AI infrastructure
• CI/CD pipeline experience (GitHub Actions, GitLab CI/CD, Jenkins, etc.)
• Cloud platform expertise (AWS, GCP, Azure, or OpenShift)
• Strong scripting and automation skills (Bash, Python, Go/Node-RED – a plus)
• Clear communicator with a love for simplicity and efficiency
• Proactive, curious, and excited about contributing to a fast-growing product
• Experience building and maintaining developer-friendly deployment workflows
• Self-starter attitude, great communication, and a collaborative mindset

Bonus Points

• Worked on or contributed to open-source infrastructure tools
• Experience with AI tools like MLflow, Kubeflow, Langfuse, or model serving stacks
• Familiarity with low-code ecosystems (Node-RED, Flowise, etc.)