Senior Software Engineer - App Level Infra

Description:

At monday.com, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we're serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works.

Our team builds the core applicative infrastructure for monday.com's backend: the frameworks, SDKs, and shared services that hundreds of microservices, and a growing number of AI agents, depend on every day.

Our infrastructure is evolving. Services that were designed for human developers now need to work just as well for autonomous agents, which means rethinking how things are discovered, invoked, and observed when the consumer isn't a person. We're actively re-architecting core parts of the platform to support both.

#LI-DNI

What you build will be used by every engineering team at monday.com. You'll shape the foundations that hundreds of services and engineers rely on.

• Lead architecture and development of backend frameworks used across all monday.com services, ensuring consistency, reliability, and ease of adoption.
• Own large-scale technical initiatives end-to-end, from problem discovery through design, rollout, developer onboarding, and long-term stability.
• Work closely with infra, product teams, and AI groups to integrate new capabilities into the core platform.
• Improve observability, performance, and correctness across foundational systems.
• Provide technical mentorship, lead design reviews, and help shape engineering practices.

• 6+ years of backend engineering experience, with depth in distributed systems and a track record of leading technical projects that influence system design across multiple teams.
• Solid experience in modern backend languages and familiarity with multi-language environments.
• Strong understanding of service lifecycle fundamentals: API/SDK design, reliability patterns, observability, runtime performance, CI/CD, interoperability.
• A mindset that goes beyond using AI as an assistant - you work towards making AI agents operate independently, and you think about what happens when machines, not just people, consume your APIs.
• Ability to bring clarity to ambiguous, cross-team problems and drive them to executable solutions.
• Clear, concise communication and the ability to collaborate with senior engineers, PMs, and domain owners.