Cloud Engineering Group Tech Lead

About monday.com

monday.com is the AI work platform powering the most ambitious teams. 250,000+ customers across departments use us to bring people, workflows, and AI agents together on one flexible platform where AI doesn't just assist, it executes. We move fast, build things that matter, and foster an ownership-driven culture where you're empowered to shape how organizations work and outpace their competition.

About the role

Own production evolution and contribute to the vision and execution of our Cloud infrastructure roadmap for growing scale and business needs.

Combine your software development expertise with infrastructure skills to design and build breakthrough, automated solutions for scale and self-service.

Establish an AI-first driven approach, leading the development of agents to improve our observability, safeguards, self-service, ticket automation, and shift-left strategies.

Proactively push for reliability improvements towards a 99.99% SLA and drive SaaS multi-tenant blast radius reduction.

Be a mentor for other engineers in the group, helping them overcome difficult obstacles by simplifying design and fostering a high-performance culture of excellence.

Work closely with cross-functional stakeholders in R&D to identify pain points, co-design solutions, and ensure strong impact.

AWS (Multi-regional, multi-cluster environment), Kubernetes, ArgoCD-GitOps, Terraform, CDKTF, Helm, Node.js, Linux, Docker.

Requirements

Previous technical leadership experience with a passion for crafting tools that engineers love.

Strong hands-on coding skills with a deep understanding of software design patterns, ensuring our infrastructure is as robust and maintainable as our product code.

Proven experience with Kubernetes cluster management, scaling, and managing AWS cloud-based environments.

Experience operating in a large-scale SaaS company with complex production requirements.

Strong background in Infrastructure as Code (IaC) using Terraform and a passion for building self-service tools in a high-paced CI/CD environment.

Experience in developing or leveraging AI-driven agents and automation to improve infrastructure observability and efficiency.

Ability to see the bigger picture, carrying out system architecture planning with an impact-driven and "can-do" attitude.

Excellent communication skills and the ability to work collaboratively with a wide range of stakeholders in a fast-paced environment.