Senior Software Engineer (Python)

Accountabilities:

• • Design, develop, and implement new Apache Airflow features and components.
  • Improve the performance, scalability, reliability, and resiliency of Airflow and its surrounding ecosystem.
  • Enhance the developer experience by identifying opportunities to simplify workflows, tooling, and engineering processes.
  • Improve code quality, test coverage, and automated testing practices while reducing test execution time.
  • Collaborate closely with engineering teammates and other technical teams to deliver reliable, maintainable solutions.
  • Investigate and troubleshoot complex technical issues, working with customers when necessary to identify and implement solutions.
  • Participate actively in the open-source community through GitHub, Slack, mailing lists, and other community channels.
  • Contribute to the broader Airflow ecosystem and help steward a healthy, collaborative open-source community.
  • Share knowledge and promote new capabilities through conferences, events, and other technical forums.
  • Support continuous innovation by exploring new ideas and technologies that can improve data orchestration and engineering workflows.

  Requirements:

  • 5+ years of professional experience as a Python developer with strong hands-on software engineering expertise.
  • Strong understanding of scalable and distributed systems, including the challenges associated with reliability and performance.
  • Demonstrated ability to troubleshoot complex technical problems and develop effective solutions.
  • Creative and analytical approach to engineering, with a willingness to explore new ideas and approaches.
  • Strong understanding of software testing, including unit testing and other forms of automated testing.
  • Proactive approach to learning, staying current with industry trends, and expanding technical expertise.
  • Strong collaboration skills, including active listening, knowledge sharing, constructive feedback, and cross-team cooperation.
  • Excellent written and verbal communication skills, with the ability to communicate effectively through GitHub, Slack, Zoom, email, documentation, and pair programming.
  • Comfortable working independently within a remote, distributed environment while maintaining strong collaboration with colleagues.
  • Experience with Apache Airflow in production environments is a plus.
  • Data engineering experience is advantageous.
  • Contributions to open-source projects are highly valued.
  • Knowledge of Kubernetes and Docker is a plus.
  • Experience building and maintaining CI/CD pipelines is beneficial.
  • Familiarity with Claude Code or similar agentic development tools is an advantage.

  Benefits:

  • Fully remote position based in India.
  • Opportunity to contribute directly to Apache Airflow, a major open-source data orchestration platform.
  • Work within a distributed engineering environment with global collaboration.
  • Exposure to complex challenges involving Python, distributed systems, scalability, performance, and resiliency.
  • Opportunities to engage directly with a global open-source community of developers and contributors.
  • Ability to contribute to developer experience, testing practices, code quality, and platform evolution.
  • Opportunities to share technical knowledge through conferences, events, and community initiatives.
  • Cross-functional collaboration that broadens technical and domain expertise.
  • Opportunity to work on software used by data practitioners and organizations operating mission-critical data workflows.
  • Environment that encourages innovation, continuous learning, knowledge sharing, and open-source contribution.