At Kestra, we’re on a mission to make orchestration and automation simpler for everyone. Our open-source platform helps teams manage complex workflows with confidence, and we’re already making a big impact in businesses around the world. Now, we’re looking for a Full Stack Engineer to help us take things to the next level.
In March 2026, we closed a $25M Series A led by RTP Global, with participation from Alven, ISAI, and Axeleo – backed by founders from Datadog, dbt Labs, and Hugging Face.
About the roleKestra orchestrates workflows across systems and domains, and AI agents and LLM-driven workflows are a growing part of that. This is a builder role. We want someone who can take an AI use case and build it end to end, from the Kestra engine through to the UI, and get it in front of users fast. Prototype use cases and turn the best ones into features and blueprints.
If you are an unusually strong full-stack builder with real AI experience, we want to talk to you even if you do not fit a standard job box.
What you would doBuild AI features end to end, backend and frontend
Prototype agent use cases quickly
Build the product surface (UI, blueprints, examples) that makes AI workflows usable in Kestra
Work closely with product and the backend team, with a short path from idea to released feature
Backend: Java, Micronaut
Frontend: Vue.js, Bootstrap
Datastore: Kafka, Elasticsearch, PostgreSQL, MySQL
Infrastructure: Docker, Kubernetes, Terraform
Cloud: GCP, AWS, Azure
Tools: GitHub for repo management, actions, and issues
We work with a variety of modern technologies, and you’ll get the opportunity to explore new tools and approaches as we grow.
What we are looking forStrong full-stack engineering with Java on the backend
Frontend experience is a clear plus
Hands-on AI experience: you have built with AI and understand AI agents
A bias toward building and releasing, balanced with the judgment to know when a prototype is ready for production
Work from anywhere: We’re a remote-first company, so you can work from wherever feels like home. Plus, you’ll have access to coworking spaces worldwide if you ever need a change of scenery.
Health coverage: From medical support, dental, and vision, we've got you covered.
Home office setup on us: We’ll provide all the equipment you need to work comfortably.
We aim to move quickly (2-3 weeks), but we can adjust the timeline if needed.
Intro call with the hiring manager (30 min)
Technical test (2 hour, homework done in async)
Team chat with two of your future colleagues (30 min)
Final discussion with one of our co-founders (30 min)
We’re here to make the process smooth and transparent for you.
Before you applyThis is Java-first, so a Python-only AI profile is not a fit. We are looking for production experience, not a portfolio of demos. If you have built and released AI products end to end, this role is for you.
Skills Required
- Strong full-stack engineering experience with Java on the backend
- Hands-on AI experience; built with AI and understand AI agents
- Production experience building and releasing AI products end to end
- Frontend experience (Vue.js, Bootstrap)
- Experience with Micronaut or similar Java frameworks
- Familiarity with Docker, Kubernetes, Terraform and cloud providers (GCP, AWS, Azure)
What We Do
Kestra is an open-source orchestration platform that makes both scheduled and event-driven workflows easy. By bringing Infrastructure as Code best practices to data, process, and microservice orchestration, you can build reliable workflows and manage them with confidence. In just a few lines of code, you can create a flow directly from the UI. Thanks to the declarative YAML interface for defining orchestration logic, business stakeholders can participate in the workflow creation process. Kestra offers a versatile set of language-agnostic developer tools while simultaneously providing an intuitive user interface tailored for business professionals. The YAML definition gets automatically adjusted any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is always managed declaratively in code, even if some workflow components are modified in other ways (UI, CI/CD, Terraform, API calls).








