Integrations Software Engineer

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 Integrations Software Engineer to help us take things to the next level.

As a Full Stack Engineer at Kestra, you’ll get to:

Build and maintain plugins that connect our platform with external systems, APIs, and databases.

Develop and implement custom plugins for our customers to integrate their systems with Kestra.

Perform thorough testing of integration solutions to identify and resolve issues promptly.

Stay updated on emerging technologies and best practices to continuously improve our integration capabilities.

You’ll be working in an environment where speed and agility are key, and where delivering value to our customers is always the top priority.

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.

We embrace modern development tools, including AI assistants and coding agents, and we encourage engineers to leverage them to move faster, explore ideas, and improve productivity. We provide access to leading AI models and tools when needed so you can use them effectively in your daily work. That said, we strongly believe great engineers must fully understand what they build. This means mastering the business context, the architecture, performance considerations, security implications, and quality standards of the code being produced. You should be comfortable reviewing, validating, and improving AI-generated code, and ultimately take ownership of the entire lifecycle from understanding the problem and designing the solution, to implementation, testing, and delivery. AI can accelerate the work, but responsibility, critical thinking, and technical judgment always remain with the engineer.