Senior Software Engineer, Test Automation

Reposted 8 Days Ago
3 Locations
In-Office
140K-155K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Software • Analytics • Infrastructure as a Service (IaaS) • Big Data Analytics
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life.
The Role
As a Senior Software Engineer in Test Automation, you will lead the automation of testing processes for Astronomer Software, ensuring quality across integration, E2E, and performance testing while collaborating with cross-functional teams.
Summary Generated by Built In

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.

About this role:

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.

What you get to do:
  • 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.

What you bring to the role:
  • 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.

Bonus points if you have:
  • 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.

#LI-Remote

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.

Top Skills

Apache Airflow
AWS
Azure
Chaos Mesh
CircleCI
Docker
Elasticsearch
Fluent Bit
GCP
Github Actions
Gloo
Go
Grafana
Helm
Istio
Jenkins
Jmeter
K6
Kubernetes
Litmus
Locust
Node.js
Playwright
Prometheus
Python
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The Company
HQ: New York, New York
344 Employees
Year Founded: 2018

What We Do

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.

Apache® and Apache Airflow® are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by the Apache Software Foundation is implied by the use of these marks. All other trademarks are the property of their respective owners.

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