About Kestra Kestra is the

universal orchestration platform

: open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems. Trusted by

over 10,000 organizations worldwide

, including

JPMorgan Chase, Bloomberg, FILA, and Crédit Agricole

, Kestra orchestrates mission-critical workloads at scale. The open-source project has close to

30,000 GitHub stars

, hundreds of contributors, and a fast-growing global community. ### The Role

We're looking

for a

Full Stack Engineer

to build the features data teams use to orchestrate their pipelines with Kestra:

data-aware orchestration

, integrations with tools like

dbt, Fivetran, Airbyte, Snowflake, BigQuery, and Databricks

• , and the UI where pipelines are built, run, and monitored.
• Hands-on

data engineering experience is a must

: you'll build for data engineers and analytics engineers, and you need to understand their workflows from your own practice. You'll work across our whole stack, from the

Java/Micronaut

backend to the

Vue 3 + TypeScript

frontend, and release features in 8-week cycles with minimal process. ###

What You'll Do

-

Build features end to end

• from the Java Micronaut backend (REST APIs, orchestration engine, plugins) to the Vue 3 frontend, including tests and documentation. -

Develop data-aware orchestration

• assets, lineage, freshness, and data quality as part of the orchestration model. -

Build and improve plugins

• integrations with dbt, Fivetran, Airbyte, cloud warehouses, and other tools of the modern data stack. -

Work on the UI data teams use daily

• the flow editor (Monaco), topology views, dashboards, and execution monitoring.
• Collaborate with the Product Manager and other engineers to

scope and deliver features

• for each 8-week release cycle.
• - Review pull requests, discuss changes publicly on GitHub, and engage with the open-source community. ### What We're Looking For -
• Hands-on

data engineering experience

• you've built or operated data pipelines yourself, with tools like

dbt

,

Fivetran

or

Airbyte

, warehouses such as

Snowflake, BigQuery, or Databricks

, or an orchestrator such as

Airflow, Dagster, or Prefect

• .
• - Strong experience with

Java

and a modern backend framework - we use

Micronaut

• , and experience with Spring Boot or Quarkus is a good fit.
• - Solid frontend skills with

Vue 3 and TypeScript

• we also use Pinia, Vite, and the Monaco editor. Deep experience with React or another modern framework can work if you're willing to go deep on Vue.
• Good knowledge of

SQL and relational databases

• PostgreSQL, MySQL, and H2 are supported as Kestra backends.
• Understanding of

distributed systems

• : queues, schedulers, and workers processing jobs reliably at scale.
• - Comfortable with

Docker

• and CI/CD pipelines.
• - Excellent communication and

clarity in writing

• comfortable discussing technical decisions publicly in GitHub repositories.
• Full ownership mentality. You iterate quickly based on feedback and don't wait to be told what to do.
• Comfortable working with

globally distributed teams

across time zones. ### Bonus Points - Past experience working as a

data engineer or analytics engineer

• , beyond building pipelines as a side task.
• - Experience with

Kafka or Elasticsearch

• (both are part of the Kestra Enterprise Edition backend).
• - Experience with

Kubernetes

• and cloud infrastructure (AWS, GCP, or Azure).
• - Contributions to

open-source projects

• .
• - Experience in a

B2B software or open-source company

. ### What You Get - Real ownership in a

globally distributed, technical team

• .
• - Direct exposure to product strategy and company priorities.
• - A product running

mission-critical workloads

• in production at over 10,000 organizations.
• - Competitive compensation, equity, and health insurance.