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
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Build features end to end - from the Java Micronaut backend (REST APIs, orchestration engine, plugins) to the Vue 3 frontend, including tests and documentation.
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Develop data-aware orchestration - assets, lineage, freshness, and data quality as part of the orchestration model.
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Build and improve plugins - integrations with dbt, Fivetran, Airbyte, cloud warehouses, and other tools of the modern data stack.
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Work on the UI data teams use daily - the flow editor (Monaco), topology views, dashboards, and execution monitoring.
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Collaborate with the Product Manager and other engineers to scope and deliver features for each 8-week release cycle.
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Review pull requests, discuss changes publicly on GitHub, and engage with the open-source community.
What We're Looking For
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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 .
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Strong experience with Java and a modern backend framework - we use Micronaut , and experience with Spring Boot or Quarkus is a good fit.
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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.
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Good knowledge of SQL and relational databases - PostgreSQL, MySQL, and H2 are supported as Kestra backends.
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Understanding of distributed systems : queues, schedulers, and workers processing jobs reliably at scale.
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Comfortable with Docker and CI/CD pipelines.
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Excellent communication and clarity in writing - comfortable discussing technical decisions publicly in GitHub repositories.
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Full ownership mentality. You iterate quickly based on feedback and don't wait to be told what to do.
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Comfortable working with globally distributed teams across time zones.
Bonus Points
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Past experience working as a data engineer or analytics engineer , beyond building pipelines as a side task.
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Experience with Kafka or Elasticsearch (both are part of the Kestra Enterprise Edition backend).
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Experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure).
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Contributions to open-source projects .
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Experience in a B2B software or open-source company .
What You Get
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Real ownership in a globally distributed, technical team .
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Direct exposure to product strategy and company priorities.
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A product running mission-critical workloads in production at over 10,000 organizations.
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Competitive compensation, equity, and health insurance.
Originally posted on Himalayas