Engineering Backend Team Lead- Data Platform
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Key details
Job Description
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 team
The Data Group is responsible for building and evolving the platform’s data foundation that powers our products and impacts millions of users daily.
We believe that the most effective teams are built on skills and passion, which is why in our recruitment process, in addition to learning about your background and experience, we really want to understand who you are and what empowers you.
We’re seeking an Engineering Backend Team Lead to guide and mentor a talented team of engineers, own critical tier-1 services, and help scale Monday's platform data architecture to new heights.
About the role
Build, lead, and mentor a team of backend engineers, fostering professional growth and collaboration
Enhance monday data layer to create a dynamic, customizable layer that supports any application and use case
Evolve our architecture and engineering to support the ever-growing scale of users, features, and data
Design and build critical tier 1 services capable of serving ten thousand requests per second with a four-nines availability level
Collaborate with cross-functional teams to integrate data solutions seamlessly into the platform and support diverse use cases
Our stack - Node.js, Cassandra, Kafka, CDC, MySQL, Ruby on Rails
Requirements
Experience managing a team and leading projects hands-on from start to finish
Extensive experience with backend development, particularly in designing and maintaining scalable, high-performance systems and APIs.
Exceptional communication and interpersonal skills, capable of effectively conveying technical concepts to both technical and non-technical stakeholders.
A growth mindset, including strong analytical, inquisitive, and data-driven experiences
Adept at working in fast-paced, dynamic environments, with the ability to adapt to changing priorities and requirements
Proven problem-solving skills, with the ability to break down complex requirements into actionable tasks.
#LI-DNI
Audit details(provenance, verification trail, raw fields)
Core fields
monday:71ce9a65-8f28-4061-8313-69efb405e540Provenance
mondayVerification trail
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