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求人Monday.com

Senior Software Engineer - App Level Infra

Monday.com

Senior Software Engineer - App Level Infra

Monday.com

Tel-Aviv, Israel

·

On-site

·

Full-time

·

1mo ago

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.

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.

Senior Software Engineer

  • App Level Infra

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.

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応募クリック数

0

模擬応募者数

0

スクラップ

0

Monday.comについて

Monday.com

A platform built for a new way of working.

1,001-5,000

従業員数

Tel Aviv

本社所在地

$7.8B

企業価値

レビュー

4.1

10件のレビュー

ワークライフバランス

3.8

報酬

2.7

企業文化

4.3

キャリア

3.9

経営陣

3.5

78%

友人に勧める

良い点

Flexible hours and schedules

Supportive and collaborative team

Growth and advancement opportunities

改善点

Compensation not competitive

Heavy workload and overwhelming pace

Limited remote work flexibility

給与レンジ

2件のデータ

Junior/L3

Junior/L3 · Data Analyst

0件のレポート

$83,650

年収総額

基本給

-

ストック

-

ボーナス

-

$71,103

$96,197

面接体験

2件の面接

難易度

4.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Take-home Assignment

4

Hiring Manager Interview

5

Final Interview

よくある質問

Behavioral/STAR

Technical Knowledge

Past Experience

Case Study