New Ventures at monday.com is expanding into new, AI-native product areas, and we’re looking for a DevOps Engineer to join our fast-moving, high-impact team. Our team develops new products from the ground up, combining startup velocity with the scale, reach, and engineering excellence of monday.com.
The team built workcanvas.com and workassets.ai, and continues to explore and launch new product ventures. As part of a small, exceptionally talented engineering group, you’ll play a key role in shaping the infrastructure, deployment pipelines, and operational standards behind these products and future initiatives.
This is a rare opportunity to help define the foundations of monday.com’s next wave of products and build the systems that enable rapid experimentation, reliable delivery, and secure growth
#LI-DNI
About The Role
Join a tight-knit team building the next generation of collaborative, AI-powered products. We move quickly, validate ideas fast, and ship frequently. You’ll work closely with software engineers and tech leads to design, build, and evolve the cloud infrastructure, developer workflows, and production environments that support multiple new product lines.
In this role, you will:
Design, build, and maintain scalable, secure, and reliable cloud infrastructure for new AI-native products
Own CI/CD pipelines, deployment processes, and developer environments to enable fast and safe delivery
Partner closely with engineers to improve developer velocity, reliability, observability, and operational excellence
Take full ownership of infrastructure from early design through production operations and monitoring
Help define infrastructure patterns, best practices, and standards across a growing portfolio of new products
Improve system performance, availability, and cost efficiency as products scale
Build and maintain monitoring, alerting, and incident response processes for production systems
Support engineering teams with automation, troubleshooting, and operational tooling
Our stack
Google Cloud Platform (GCP)
Cloudflare
Node.js
TypeScript
PostgreSQL
CI/CD pipelines
Monitoring and observability tools
Modern AI/LLM infrastructure
Requirements
3+ years of experience as a DevOps, Platform, or Infrastructure EngineerStrong technical skills and a deep understanding of cloud infrastructure, systems, and production environments
Hands-on experience building and maintaining CI/CD pipelines and release processes
Experience working with cloud platforms such as GCP or AWS
Strong knowledge of Linux environments, scripting, automation, and infrastructure-as-code
Experience with monitoring, alerting, logging, and troubleshooting distributed systems in production
Understanding of networking, security, access control, and best practices for application and infrastructure protection
Ability to balance speed and quality in a fast-moving, product-oriented environment
Strong communication skills, team mindset, and empathy
Passion for building infrastructure that helps teams move faster and supports products used by millions
Advantages
Experience supporting AI-native products or LLM-based systems
Experience with Cloudflare, PostgreSQL, and modern web application infrastructure
Familiarity with scalability, performance optimization, and cost management in cloud environments
Experience in startup-like environments, rapid prototyping, or 0-to-1 product teams
Experience building internal developer platforms or tooling that improves engineering productivity
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