招聘
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.
We are looking for an experienced Tech Lead with a passion for building amazing high-scale cloud infrastructure solutions. You will join our Cloud Engineering Group to drive the architecture, scaling, and optimization of our production environment.
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Own production evolution and contribute to the vision and execution of our Cloud infrastructure roadmap for growing scale and business needs.
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Combine your software development expertise with infrastructure skills to design and build breakthrough, automated solutions for scale and self-service.
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Establish an AI-first driven approach, leading the development of agents to improve our observability, safeguards, self-service, ticket automation, and shift-left strategies.
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Proactively push for reliability improvements towards a 99.99% SLA and drive SaaS multi-tenant blast radius reduction.
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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.
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Work closely with cross-functional stakeholders in R&D to identify pain points, co-design solutions, and ensure strong impact.
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AWS (Multi-regional, multi-cluster environment), Kubernetes, ArgoCD-Git Ops, Terraform, CDKTF, Helm, Node.js, Linux, Docker.
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Previous technical leadership experience with a passion for crafting tools that engineers love.
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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.
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Proven experience with Kubernetes cluster management, scaling, and managing AWS cloud-based environments.
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Experience operating in a large-scale SaaS company with complex production requirements.
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Strong background in Infrastructure as Code (IaC) using Terraform and a passion for building self-service tools in a high-paced CI/CD environment.
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Experience in developing or leveraging AI-driven agents and automation to improve infrastructure observability and efficiency.
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Ability to see the bigger picture, carrying out system architecture planning with an impact-driven and "can-do" attitude.
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Excellent communication skills and the ability to work collaboratively with a wide range of stakeholders in a fast-paced environment.
Infrastructure Group Tech Lead:
The R&D Team is passionate about building innovative and lovable products, while tackling complex engineering problems at a great scale. We’re accountable for bringing the company’s vision to life by navigating our progress into flawless execution and encouraging full ownership and independence in all projects. The Infra role is a crucial piece as our company scales and user-base grows, conquering all aspects of product and infrastructure challenges. We are focused around development flow productivity, building application infrastructure and production resilience. We have huge challenges related to hyper growth of engineering, application and data scale.
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About Monday.com

Monday.com
PublicA platform built for a new way of working.
1,001-5,000
Employees
Tel Aviv
Headquarters
$7.8B
Valuation
Reviews
3.6
4 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
2.0
Career
3.0
Management
2.0
35%
Recommend to a Friend
Pros
Works well for remote team management
Functional from technical perspective
Integrates into team management stack
Cons
Overly demanding implementation requirements
Excessive training requirements (50+ minute sessions)
Creates redundancy with existing tools like Jira
Salary Ranges
2 data points
Junior/L3
Junior/L3 · Data Analyst
0 reports
$83,650
total / year
Base
-
Stock
-
Bonus
-
$71,103
$96,197
Interview Experience
2 interviews
Difficulty
4.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 0%
Negative 100%
Interview Process
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Take-home Assignment
5
Final Presentation Round
6
Offer
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Case Study
Culture Fit
News & Buzz
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