Full Stack Engineer, Data Orchestration

About Kestra

Kestra is theuniversal orchestration platform: open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems.

Trusted byover 10,000 organizations worldwide, includingJPMorgan Chase, Bloomberg, FILA, and Crédit Agricole, Kestra orchestrates mission-critical workloads at scale. The open-source project has close to30,000 GitHub stars, hundreds of contributors, and a fast-growing global community.

The Role

We're looking for aFull Stack Engineer to build the features data teams use to orchestrate their pipelines with Kestra:data-aware orchestration, integrations with tools likedbt, Fivetran, Airbyte, Snowflake, BigQuery, and Databricks, and the UI where pipelines are built, run, and monitored. Hands-ondata 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 theJava/Micronaut backend to theVue 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 toscope 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-ondata engineering experience - you've built or operated data pipelines yourself, with tools likedbt,Fivetran orAirbyte, warehouses such asSnowflake, BigQuery, or Databricks, or an orchestrator such asAirflow, Dagster, or Prefect.

• Strong experience withJava and a modern backend framework - we useMicronaut, and experience with Spring Boot or Quarkus is a good fit.

• Solid frontend skills withVue 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 ofSQL and relational databases - PostgreSQL, MySQL, and H2 are supported as Kestra backends.

• Understanding ofdistributed systems: queues, schedulers, and workers processing jobs reliably at scale.

• Comfortable withDocker and CI/CD pipelines.

• Excellent communication andclarity 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 withglobally distributed teams across time zones.

Bonus Points

• Past experience working as adata engineer or analytics engineer, beyond building pipelines as a side task.

• Experience withKafka or Elasticsearch (both are part of the Kestra Enterprise Edition backend).

• Experience withKubernetes and cloud infrastructure (AWS, GCP, or Azure).

• Contributions toopen-source projects.

• Experience in aB2B software or open-source company.

What You Get

• Real ownership in aglobally distributed, technical team.

• Direct exposure to product strategy and company priorities.

• A product runningmission-critical workloads in production at over 10,000 organizations.

• Competitive compensation, equity, and health insurance.