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Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
At Astronomer, our R&D team is dedicated to providing an exceptional experience in managing Apache Airflow at scale. We are seeking a Senior Software Engineer, Test Automation to lead the test automation efforts for our self-hosted platform, Astronomer Software.
This role is essential to ensure the quality, reliability, and scalability of our product through comprehensive integration, E2E, smoke, regression, and performance testing. You will collaborate with engineering, DevOps, and product teams to build a highly automated and scalable test framework.
Design, develop, and maintain automated test suites for integration, end-to-end (E2E), smoke, and regression testing.
Define and implement strategies for scalability and load testing of a Kubernetes-based distributed system.
Develop processes to orchestrate continuous testing and load generation (synthetics) techniques and observability tooling to provide real-time production readiness signals.
Collaborate with development teams to understand architecture and features to define appropriate test coverage.
Develop and maintain process documentation and reporting aligned with business and technical requirements.
Create benchmark techniques to measure our product and competitors performance.
Build modularized and portable test components for evaluating frontend and backend systems.
Automate deployments and test execution in CI/CD pipelines using GitOps and Kubernetes tooling.
Monitor test executions, analyze results, and drive continuous improvement in test quality and coverage.
Flexible to work in collaboration with US (Pacific Time) and IST hours as needed.
8+ years of experience in test automation for modern distributed systems.
Strong communication and collaboration skills to work with cross-functional teams across time zones.
Experience with cloud providers like AWS, Azure, or GCP.
Extensive experience writing high quality production-ready Python tooling following best practices.
Proficiency in writing automation for microservices built in Python, Go, Node.js.
Strong experience with Kubernetes, including hands-on experience testing systems running on K8s.
Experience with API testing tools (e.g., Postman, REST-assured, Supertest).
Deep understanding of CI/CD tools such as GitHub Actions, CircleCI, and Jenkins.
Familiarity with observability tools: Prometheus, Elasticsearch, Grafana, Fluent Bit.
Solid understanding of GitOps, Docker, and Helm charts.
Experience with Apache Airflow.
UI testing experience, especially Playwright.
Experience with load and performance testing tools such as k6, Locust, or JMeter.
Experience testing on service mesh environments (e.g., Istio, Gloo).
Familiarity with chaos engineering tools like Litmus or Chaos Mesh.
Experience in secure testing and compliance validation for enterprise deployments.
The estimated salary for this role ranges from $140,000 - $155,000 based on leveling and geography, along with an equity component and a comprehensive benefits package. This range is merely an estimate; actual compensation may deviate from this range based on skills, experience, and qualifications.
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At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Astronomer is a data engineering platform that collects, processes and unifies your enterprise data, so you can get straight to analytics, data science and-more importantly-insights. Basically, Astronomer makes it easy to capture data from any source and send it to any location to tee up your organization for insights. Maybe you need to start by seeing all your data in one place. Maybe you're ready to test out predictive analytics or run artificial intelligence. With access to the right insights, every company has the opportunity to do business best. Founded in 2015, we've created a hybrid integration platform that supports cloud and on-premises requirements simultaneously and runs all variations of enterprise ETL workloads. In other words, a unified approach to an integrated landscape, offering both custom and packaged solutions, while leaving total ownership and control of data in your hands. Our Cincinnati-based team comes from a diverse mix of multidisciplinary backgrounds including EY, Oracle, Facebook, the FBI and Dunnhumby and is backed by notable venture investors including 500 Startups, Angelpad and CincyTech. We pride ourselves on the company we keep-and our team members, regardless of their role, are on a mission to deliver an exceptional customer experience.
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