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.
In March 2026, we closed a $25M Series A led by RTP Global, with participation from Alven, ISAI, and Axeleo – backed by founders from Datadog, dbt Labs, and Hugging Face.
The RoleWe're looking for a QA Engineer based in Brazil to ensure the quality and reliability of Kestra's platform across both the open-source and Enterprise editions.
A key part of this role involves working directly with customer support tickets: understanding reported issues, reproducing them in local or staging environments, and verifying fixes before they ship. You'll be the bridge between what customers experience and what the engineering team delivers.
This is a fully remote position. We're hiring from Brazil for timezone alignment with the broader team.
What You'll DoReview 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, ensuring the engineering team has the context they need to fix issues efficiently.
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 across each release cycle.
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 to help the team prioritize improvements.
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. This is central to the role.
Familiarity with infrastructure and orchestration concepts: Docker, Kubernetes, CI/CD pipelines, or workflow automation tools. You'll need this context to test effectively.
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. You'll collaborate with a globally distributed team and document issues clearly.
Self-directed and detail-oriented. You can prioritize across incoming support issues and planned test cycles without heavy oversight.
Past experience in a QA role that involved direct interaction with customer-reported issues or support escalations.
Experience with open-source software or B2B SaaS platforms.
Familiarity with orchestration or workflow tools (Airflow, n8n, Terraform, Ansible, or similar).
Experience with performance testing or load testing for distributed systems.
Knowledge of Java (Kestra's core is written in Java).
Real ownership in a globally distributed, technical team.
Direct exposure to product strategy and company priorities.
A product used for mission-critical workloads — not demos.
Competitive compensation, equity, and health insurance.
