Full Stack Engineer, Data Orchestration

Stack

Responsibilities

• ▹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, Fivetron, 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

Requirements

• ▹Hands-on data engineering experience - you've built or operated data pipelines yourself, with tools like dbt, Fivetron 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 - Micronaut, or experience with Spring Boot or Quarkus
• ▹Solid frontend skills with Vue 3 and TypeScript - also Pinia, Vite, and the Monaco editor
• ▹Good knowledge of SQL and relational databases - PostgreSQL, MySQL, and H2
• ▹Understanding of distributed systems - queues, schedulers, and workers processing jobs reliably at scale
• ▹Comfortable with Docker and CI/CD pipelines

Nice to have

• ▹Past experience working as a data engineer or analytics engineer, beyond building pipelines as a side task
• ▹Experience with Kafka or Elasticsearch (both 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

Soft skills

About the company

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. The open-source project has close to 30,000 GitHub stars.