Full Stack Engineer, Data Orchestration

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.