Full Stack Engineer, Data Orchestration

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Kestra

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

SaaS • Artificial Intelligence • Enterprise

Kestra is an open-source orchestration platform for data, AI, and infrastructure workflows. It is event-driven, language-agnostic, and built for enterprise scale, offering declarative YAML workflows, an API-first design, CI/CD-native features, and 1800+ plugins to integrate cloud, data, infra and SaaS tools. Kestra ships as self-hosted (Docker/Kubernetes) and a managed cloud edition, and provides enterprise capabilities (SSO, RBAC, audit logs, multi-tenancy, isolated workers) alongside AI-native features like RAG pipelines, agents, and a Copilot to operationalize and govern AI workflows.

📋 Description

• Build features end to end from the Java Micronaut backend, including REST APIs, orchestration engine, plugins, tests, and documentation • Develop data-aware orchestration for assets, lineage, freshness, and data quality • Build and improve integrations with dbt, Fivetran, Airbyte, cloud warehouses, and other modern data-stack tools • Work on the flow editor, topology views, dashboards, and execution monitoring UI used by data teams • Collaborate with the Product Manager and engineers to scope and deliver features in 8-week release cycles • Review pull requests and discuss changes publicly on GitHub • Engage with the open-source community

🎯 Requirements

• Hands-on data engineering experience building or operating data pipelines • Strong experience with Java and a modern backend framework; Micronaut used, with Spring Boot or Quarkus experience suitable • Solid frontend skills with Vue 3 and TypeScript; willingness to develop deep Vue expertise if experienced with React or another modern framework • Experience with Pinia, Vite, and Monaco editor • Good knowledge of SQL and relational databases, including PostgreSQL, MySQL, or H2 • Understanding of distributed systems, including 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 and ability to iterate quickly based on feedback • Comfortable working with globally distributed teams across time zones • Experience with dbt, Fivetran, Airbyte, Snowflake, BigQuery, Databricks, Airflow, Dagster, or Prefect • Bonus: experience with Kafka, Elasticsearch, Kubernetes, AWS, GCP, Azure, open-source contributions, or B2B software/open-source companies

🏖️ Benefits

• Competitive compensation • Equity • Health insurance • Real ownership in a globally distributed, technical team • Direct exposure to product strategy and company priorities • Opportunity to work on a product running mission-critical workloads in production at over 10,000 organizations