--- title: 'DevOps Tech Lead (BigBrain) at monday.com' canonical: 'https://feeny.ai/job/devops-tech-lead-bigbrain-monday-com-tel-aviv-43pj8ev7zy7y' type: 'job' last_seen: '2026-09-10' --- # DevOps Tech Lead (BigBrain) at monday.com - **Company:** [monday.com](https://feeny.ai/companies/monday-com) - **Location:** Tel Aviv, Israel - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-03 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/monday.com/6b945ea6-f095-42b4-a83d-b9b5f407feae/application **Skills:** AWS, Kubernetes, EKS, Kafka, MSK, Debezium, Airflow, Snowflake, ClickHouse, Apache Iceberg, EMR, ArgoCD, Terraform, CDKTF, Helm, GitHub Actions, Docker, Datadog, OpenTelemetry, Linux > Join the BigBrain team to build and scale next-generation AI-powered products. You will own platform infrastructure, automate workflows, and ensure data security while partnering with product teams to drive operational excellence. ## Job description About [monday.com](http://monday.com) [monday.com](http://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 We are looking for a Senior DevOps Engineer / Tech Lead to join the BigBrain group. The team that builds and operates [monday.com](http://monday.com)'s Data Platform and leads the company's internal AI innovation. We own the infrastructure behind billions of daily events - from streaming pipelines and data orchestration to the AI Gateway and ML inference platform that power [monday.com](http://monday.com)'s intelligent features. We manage some of the most sensitive data in the company, operate across multiple global regions, and are responsible for keeping it all secure and running at scale. The BigBrain group consists of diverse teams, including Data Scientists, Full-Stack Engineers, Data Engineers, and BI Engineers. As a Senior DevOps Engineer / Tech Lead on this team, you'll own the technical direction for critical infrastructure domains, mentor other engineers, and partner closely with product, security, data, and platform teams to build infrastructure that's secure, scalable, and increasingly autonomous. This is a high-ownership role with significant influence over the technical roadmap of our data and AI infrastructure. This is an exciting time to join: we're building an AI Gateway to govern LLM usage across the company, scaling our ML inference platform, designing AIOps agents that automate infrastructure operations, and evolving our data platform with modern technologies - all while keeping the foundation rock-solid across multiple regions. You'll join our DevOps team based in our headquarters in Tel Aviv, Israel. Team podcasts - https://www.startupforstartup.com/110-on-the-operations-behind-the-client-facing-teams-growth/ https://pod.link/1595260676/episode/fa4d99bbf8e536e7a139a1ba679692f0 BigBrain: https://www.startupforstartup.com/on-the-bigbrain-that-makes-kpis-accessible-to-every-employee/ https://www.youtube.com/watch?v=x-m0ag0cty0 https://engineering.monday.com/ai-brain-ai-charged-tool-for-internal-usage/ ## About The Role - Lead technical direction — Own the architecture and technical roadmap for critical infrastructure domains, and make high-impact trade-offs across teams. - Own and scale platform infrastructure — Manage multi-region Kubernetes clusters (EKS), streaming pipelines (Kafka/MSK, Debezium CDC), and data orchestration (Airflow) that handles billions of daily events. - Build and operate AI infrastructure — Deploy and maintain the AI Gateway (governance, observability, guardrails for LLM usage), ML inference platform, and the tooling that enables AI adoption across the company. - Drive infrastructure automation with AIOps — Design and build autonomous agents and intelligent tooling (n8n, LangChain, Claude Code) that automate infrastructure operations, analyze workflows, and reduce manual toil. - Drive cross-team initiatives — Lead complex, multi-team infrastructure projects end-to-end, from design through rollout. - Mentor and grow engineers — Guide and mentor other DevOps/infra engineers, review designs, and raise the technical bar across the team. - Build and maintain CI/CD & GitOps pipelines — Design and operate deployment pipelines using GitHub Actions, ArgoCD, Helm, and Terraform (CDKTF), enabling fast, safe, and reliable releases for product teams. - Ensure data security — Protect the company's most sensitive data through access control, data governance, and security-first infrastructure design. - Evolve the data platform — Work with modern data technologies (Snowflake, ClickHouse, Apache Iceberg, EMR) and contribute to the next generation of our data infrastructure. - Enable developer self-service — Improve our internal platform so engineering teams across the company can deploy, configure, and operate services independently. - Provide observability and reliability — Build monitoring, alerting, and debugging tools (Datadog, OpenTelemetry, ClickHouse) across all data and AI processes, and lead incident response for critical, high-scale systems. Our Stack — AWS, Kubernetes (EKS), Kafka/MSK, Debezium, Airflow, Snowflake, ClickHouse, Apache Iceberg, EMR, ArgoCD, Terraform/CDKTF, Helm, GitHub Actions, Docker, Datadog, OpenTelemetry, MLFlow, n8n, API Gateway, Redis, MySQL, Teleport, TypeScript, Node.js, Python. ## Your Experience & Skills - 6-8+ years of experience as a DevOps / Infrastructure / Platform Engineer, including experience leading technical initiatives, owning architecture decisions, or mentoring other engineers. - Deep, hands-on experience with Kubernetes — cluster management, networking, scaling, and troubleshooting at production scale. - Strong experience with Infrastructure as Code (Terraform/CDKTF, Helm) and GitOps workflows (ArgoCD or similar). - Proven ownership of CI/CD pipelines — designing, maintaining, and optimizing the full release cycle for multiple teams. - Deep experience with cloud infrastructure (AWS preferred) — networking, IAM, security, cost optimization. - Security-first mindset — strong understanding of application security, access control, and data protection best practices. - Experience with data infrastructure — Kafka, Airflow, EMR, Apache Iceberg, Snowflake, ClickHouse, or similar technologies. - Fluent in Linux environments, scripting, and at least one programming language (Python, TypeScript, Go). - Proven ability to design and own system architecture at scale, and to make and defend complex technical trade-offs across multiple teams and domains. - Experience owning production reliability for critical, high-scale systems — including incident leadership, postmortems, and driving systemic fixes. - Strong communicator and cross-functional collaborator, comfortable influencing engineering standards and best practices across an organization. - Understanding of products and a passion for building software that impacts millions of users. - Comfortable operating with high autonomy and ambiguity. Big advantage: - Experience with AI/ML infrastructure — model serving, LLM deployment, AI gateways, GPU workloads, or AI observability tools (MLFlow). - Hands-on experience with AI agents and automation — LangChain, LangGraph, n8n, Claude Code, or similar agentic frameworks. - Experience building internal developer platforms or self-service tooling. - Passion for pushing the boundaries of what AI agents and autonomous ## About monday.com ## Company Overview - **One-liner**: monday.com is a global software company that develops a browser-based AI work platform to help teams manage their work, automate processes, and achieve more together. - **Entity Type**: Public (Nasdaq: MNDY) - **Headquarters**: Tel Aviv, Israel (with major offices in New York, London, Warsaw, Tokyo, Singapore, Melbourne, and Munich) - **Founded**: February 2012 (originally as dapulse, rebranded to monday.com in 2017) - **Founders**: Roy Mann and Eran Zinman ## Core Business - **Primary industry/industries**: Process management, project management software, productivity software, team management, customer relationship management (CRM), collaborative software - **Target customers**: B2B - serving over 250,000 customers globally, including over 60% of the Fortune 500 - **Mission or purpose statement**: "Shape how the world works" - helping teams get more work done with AI-powered tools that automate, build, and scale impact end-to-end. ## Products & Services - **monday.com Work OS**: The core platform, a customizable, no-code work operating system for managing projects, workflows, and processes across teams and departments. - **monday AI Platform**: An enterprise-grade AI infrastructure that allows users to build and deploy AI agents to automate tasks, with features like simulation mode, full user control, and a guarantee that customer data is never used to train AI models. - **monday CRM**: A customer relationship management solution built on the Work OS. - **monday Dev**: A product management tool tailored for software development teams. - **monday Sales CRM**: A dedicated CRM for sales teams. - **monday Marketer**: A work management solution for marketing teams. - **Open API & Integrations**: An open platform allowing third-party developers to build custom views, dashboard widgets, automations, and integrations with other work apps. ## Market Standing - **Valuation/Market Cap**: As a public company, market cap fluctuates. During its last private round in 2019, it was valued at $1.9 billion. The company went public in June 2021. - **Key Metric**: Over $1.232 billion in annual revenue (2025), with over $1 billion in ARR. - **Notable Investors/Partners**: Insight Partners, Sapphire Ventures, Hamilton Lane, HarbourVest Partners, ION Crossover Partners, and Vintage Investment Partners were key investors in its growth rounds. - **Growth Signals**: The company has grown to over 3,155 employees (2025), serves over 250,000 customers, and is trusted by over 60% of the Fortune 500. It is aggressively expanding its AI capabilities with its new AI work platform and agent features. ## Competitive Advantages - **Platform Stickiness**: monday.com is a highly customizable, no-code platform that becomes deeply embedded in a customer's daily workflows, creating high switching costs. - **Data Privacy & Trust**: The company explicitly states that customer data is never used to train AI models, a major differentiator for enterprise clients concerned with data security. - **Enterprise-Grade Security**: Offers robust security, governance, permissions, and compliance features, making it a trusted partner for large organizations. - **Strong Brand & Scale**: With over 1 billion in ARR and a massive customer base, the company has significant resources for R&D and market expansion. ## Strategic Focus - **AI-First Platform**: monday.com is pivoting heavily to become "The AI Work Platform for People & Agents," allowing users to build, validate, and deploy AI agents to automate work. This is the company's primary growth vector. - **Expanding Enterprise Footprint**: Deepening its penetration into large enterprises by offering a secure, scalable, and customizable platform. - **Product Ecosystem Growth**: Continuously expanding its suite of specialized products (CRM, Dev, Marketer) to capture more of the enterprise software market. ## Why Work Here - **Product-First Culture**: The company is deeply committed to building intuitive, powerful, and easy-to-use products that solve real customer problems. - **Impact & Ownership**: Employees are given significant ownership over their work from start to finish, fostering a culture of personal investment and high impact. - **Hybrid Work Model**: monday.com offers a hybrid work environment, with most teams spending three days a week in the office for collaboration and the rest working remotely. - **Career Growth**: The company provides learning programs, mentorship, development opportunities, and an internal mobility process to support diverse career paths. - **Global & Diverse Team**: With 3,000+ employees across 15+ locations and 17 teams, the company offers a truly international and diverse work environment. It is an equal opportunity employer committed to inclusion. - **Strong Financial Health**: As a profitable, publicly-traded company with over $1B in ARR, monday.com offers stability and long-term growth potential for its employees. ## Sources 1. [monday.com Careers Page](https://monday.com/careers) 2. [monday.com Official Website](https://www.monday.com/) 3. [Built In - monday.com Company Profile](https://builtin.com/company/mondaycom) 4. [Wikipedia - Monday.com](https://en.wikipedia.org/wiki/monday.com) 5. [LinkedIn - monday.com](https://uk.linkedin.com/company/mondaydotcom) ## Other roles at monday.com - [Account Executive, SMB](https://feeny.ai/job/account-executive-smb-monday-com-atlanta-0e1t485yfnca) — Atlanta, GA - [Head of Startup for Startup](https://feeny.ai/job/head-of-startup-for-startup-monday-com-tel-aviv-dxh8vdt80ew2) — Tel Aviv, Israel - [Procurement Specialist](https://feeny.ai/job/procurement-specialist-monday-com-tel-aviv-cd4rvzt41as2) — Tel Aviv, Israel - [Technical Customer Experience](https://feeny.ai/job/technical-customer-experience-monday-com-tel-aviv-wr3q2adtz11g) — Tel Aviv, Israel - [Forward Deployed Engineer, Strategic Deployments](https://feeny.ai/job/forward-deployed-engineer-strategic-deployments-monday-com-denver-pn57sqj1b6sd) — Denver, CO - [Implementation Consultant](https://feeny.ai/job/implementation-consultant-monday-com-tel-aviv-2071kamv61r4) — Tel Aviv, Israel - [Lead Product Designer - CRM](https://feeny.ai/job/lead-product-designer-crm-monday-com-tel-aviv-6fwmk8csd8eq) — Tel Aviv, Israel - [Senior Software Engineer, Funnel Fighters](https://feeny.ai/job/senior-software-engineer-funnel-fighters-monday-com-tel-aviv-x6rjq54v3zst) — Tel Aviv, Israel - [Agent Engineer, Luna](https://feeny.ai/job/agent-engineer-luna-monday-com-tel-aviv-5jp196z8c6nx) — Tel Aviv, Israel - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-monday-com-paris-2y8wvht9z97a) — Paris, France