
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.
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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.
• Review and analyze customer support tickets to understand reported issues, extract reproduction steps, and translate customer-reported problems into actionable bug reports for the engineering team. • Reproduce customer-reported bugs across different environments and configurations. • Design, write, and maintain test plans and test cases covering both the open-source platform and Enterprise Edition features. • Perform manual and exploratory testing for new features and regression testing for existing functionality. • Collaborate with engineers to define acceptance criteria, identify edge cases, and validate fixes before release. • Contribute to building and improving automated test coverage where applicable. • Track and report on quality metrics, test coverage, and recurring issue patterns.
• Experience in software QA with a strong foundation in both manual and automated testing methodologies. • Ability to read and interpret customer support tickets, often with incomplete information, and systematically reproduce issues. • Familiarity with infrastructure and orchestration concepts: Docker, Kubernetes, CI/CD pipelines, or workflow automation tools. • Comfortable working with APIs, reading logs, and navigating distributed systems to trace issues. • Experience writing automated tests (for instance, in Java, Python, or TypeScript) and working with test frameworks. • Strong written communication in English. • Self-directed and detail-oriented.
• Competitive compensation • Equity • Health insurance
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