Infrastructure Engineer / MLOps

About the Role

‍Join a fast-growing tech company building a next-generation low-code/no-code platform that empowers businesses to rapidly develop AI applications, automate workflows, and connect with over 1,000 data sources and APIs. We're on a mission to democratize AI and automation by delivering open-source tools, simplified infrastructure, and powerful orchestration—making innovation accessible to developers, teams, and enterprises alike.

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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.

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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.)

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