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monday.com is an AI work platform used by 250,000+ customers to bring people, workflows, and AI agents together on one flexible platform. The company is seeking a Senior AI Software Engineer to join the Agentic Release team based in Tel Aviv headquarters.
The Agentic Release team's mission is to pioneer the Agentic SDLC (Software Development Lifecycle), leveraging cutting-edge AI technology and autonomous agents to dramatically increase organizational velocity and efficiency. This involves integrating autonomous agents across the entire R&D lifecycle—from ideation through monitoring—to accelerate delivery, ensure higher quality, and drive innovation.
In this role, you will:
- Build monday's core Agentic SDLC, leveraging cutting-edge AI and autonomous agents to automate, stabilize, and pioneer the future of autonomous software delivery
- Drive full autonomy in the release cycle, ensuring a seamless developer experience while rigorously protecting the end user's experience
- Own the entire Agentic SDLC ecosystem, from pull request to production
- Work in a small, highly talented engineering team, collaborating across R&D to take full end-to-end ownership of high-impact agentic projects
- Contribute to a fast-moving, ownership-driven culture where you shape how organizations work
Tech stack: Node.js, Golang, TypeScript, React, AWS, Kubernetes, Redis, MySQL, Elasticsearch, and more.
REQUIREMENTS:
- 5+ years of professional software engineering experience with demonstrated strong technical skills building full-stack applications end-to-end
- Strong coding and technical skills with a passion for DevEx (developer experience)
- Experience leveraging AI to build workflows and autonomous agents for efficiency and high-quality outputs
- Ability to see the bigger picture and carry out system architecture planning
- Experience building modern backend and frontend applications and full application release cycles at scale
- Working experience in cloud-based environments
- Team player with egoless mindset, strong communication skills, self-learning abilities, and sense of ownership
- DevOps experience (AWS, Kubernetes, CI/CD) is an advantage
