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Recently posted jobs
Machine Learning • Software • Database
Build end-to-end features for a data orchestration platform across Java/Micronaut backend and Vue 3/TypeScript frontend. Implement data-aware orchestration (assets, lineage, freshness, quality), create integrations/plugins (dbt, Fivetran, Airbyte, warehouses), improve UI (flow editor, topology, dashboards), collaborate on 8-week releases, review PRs, and engage with the open-source community.
Machine Learning • Software • Database
Lead Kestra's data orchestration product: define specs, prototype, and deliver features across ingestion, transformation, lineage, freshness, and data-quality orchestration. Deepen integrations with the modern data stack, ease migrations from other orchestrators, coordinate releases, QA, docs, and iterate from customer and community feedback.
Machine Learning • Software • Database
Investigate and reproduce customer-reported issues, create actionable bug reports, design and run manual and automated test plans, validate fixes, improve automated coverage, and track quality metrics for Kestra OSS and Enterprise editions.
Machine Learning • Software • Database
Design and implement execution primitives for AI/agent workflows in Kestra's Java core, build and maintain plugins to connect LLM providers and agent frameworks, convert agent use cases into reusable blueprints with product, and ensure AI executions are observable, debuggable, correct, and reliable.
Machine Learning • Software • Database
Build end-to-end AI features and prototypes across backend and frontend, prototype AI agent use cases, create UI/blueprints/examples to make AI workflows usable, and ship features quickly in collaboration with product and backend teams.
Machine Learning • Software • Database
Own AI workflows product: discover and validate AI use cases with customers, define roadmap and specs, create reusable blueprints with engineering, and prioritize what not to build.
Machine Learning • Software • Database
Architect, build, and scale the SaaS infrastructure; automate cloud provisioning; improve CI/CD and monitoring; troubleshoot infrastructure and application issues; drive automation and operational reliability improvements.
