Senior Software Engineer (Python) - India

Astronomer; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Astronomer is seeking an experienced Python developer to join its open-source engineering team, focusing on implementing new Airflow features and components. You will help advance Airflow's role as the standard for data orchestration while working in a remote, distributed environment.

You will design, develop, troubleshoot, and improve the developer experience, contribute to code quality and test coverage, engage with the Apache Airflow community, and collaborate across teams to deliver

Qualifications

• 5+ years of Python development experience.
• Experience designing scalable distributed systems.
• Experience troubleshooting complex issues.
• Experience with open-source projects and community involvement.
• Ability to write meaningful unit tests and understand CI/CD.
• Strong communication across Github/Slack/Zoom and with customers.

Responsibilities

• Designing and implementing new Airflow features and components.
• Improving Airflow performance and resiliency.
• Enhancing Airflow developer experience and test coverage.
• Collaborating with teams to deliver high-quality results.
• Engaging with the Airflow community and contributors.
• Promoting Airflow features at conferences and events.

Skills

Python

Distributed systems

Open-source collaboration

Unit testing

GitHub/Slack/Zoom

Education

Bachelor's degree in CS/CS related field

Tools

Kubernetes

Docker

Apache Airflow

Job description

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 the job

This role will be part of Astronomer's open-source engineering team, focused on implementing new Airflow features and components.

As a member of the team, you'll be at the forefront of the industry as we continue to make Apache Airflow the de facto standard for data orchestration.

Your focus will be on identifying, designing, developing, and implementing open-source software that improves the experience of data practitioners using Airflow.

Ideally, you're someone who enjoys innovating, thinking big, and contributing directly to the success of Airflow.

You should be comfortable working in a remote, distributed environment, actively promote knowledge sharing, and be open to collaborating with other teams to broaden your domain knowledge and impact.

You'll also have the opportunity to engage with developers and committers from the Apache Airflow project, a thriving open-source community with thousands of contributors around the world.

What You Get To Do

• Designing and implementing new Airflow features and components.
• Improving the performance and resiliency of Airflow
• Iterating and improving on Airflow's developer experience
• Improve code quality, test coverage and reduce test runtime
• Encouraged to participate in the Airflow community(via Slack, mailing list and GitHub)
• Work closely with team members to deliver high-quality results.
• Liaise with customers, troubleshooting issues and providing solutions
• Contribute to the Airflow Ecosystem and steward the open-source community
• Promote new Airflow features at conferences and events

What You Bring To The Role

• Proven experience as a Python developer with 5+ years of experience
• Demonstrated ability to think creatively and explore new ideas
• Experience in troubleshooting complex issues
• Strong knowledge of building scalable and distributed systems
• A proactive approach to learning and staying updated with industry trends
• Good at writing unit tests, and an appreciation of different forms of automated testing
• Recognize the importance of cooperation and encourage it by being a good listener, sharing information, and offering support and feedback
• Communication skills that allow you to know what to say and, more importantly, how to say it in various mediums (Github, Slack, Zoom, email, pair programming sessions)
• Bonus points if you have:
• Experience with Apache Airflow in production environments
• Data Engineering experience
• Contributions to Open Source projects
• Knowledge of Kubernetes Docker
• Built and maintained CI/CD pipelines
• Experience with Claude Code or si