Astronomer designed Astro, a modern data orchestration platform, powered by Apache Airflow™. Astro enables companies to place Apache Airflow at the core of their data operations, providing ease of use, scalability, and enterprise-grade security, to ensure the reliable delivery of mission-critical data pipelines.

We’re a globally-distributed and rapidly growing venture-backed team of learners, innovators and collaborators. Our mission is to build an Enterprise-grade product that makes it easy for data teams at Fortune 500’s and startups alike to adopt Apache Airflow. As a member of our team, you will be at the forefront of the industry as we strive to deliver the world's data.

Your background may be unconventional; as long as you have the essential qualifications, we encourage you to apply. While having "bonus" qualifications makes for a strong candidate, Astronomer values diverse experiences. Many of us at Astronomer haven't followed traditional career paths, and we welcome it if yours hasn't either.

About this role

As a Senior Engineering Manager at Astronomer, you will play a pivotal role in leading and guiding a team of talented engineers bringing commercial value to Apache Airflow OSS. Your primary goal will be to foster a high-performing and innovative engineering culture, ensuring that our products meet the highest standards of quality and efficiency.

In this role, you will collaborate extensively with leadership across various departments, including Engineering, Product Management, Customer Support and Field engineering. It's a great opportunity to work on some of the most challenging problems in data orchestration while contributing to the development of Astronomer’s next-generation product suite.

What you get to do:

• Drive our Dataplane Engine team to deliver a world-class Apache Airflow Experience, working at the intersection of Open Source Software and our commercial efforts to set industry benchmarks in the data-orchestration space.

• Lead and mentor a team of talented software engineers, providing guidance and support to ensure their growth and development.

• Master the execution of the lifecycle of engineering projects, from conception and design through development, testing, deployment, and support.

• Collaborate closely with the Engineering Tech lead, Product Managers, Engineering Director, and other stakeholders to align engineering projects with company goals and customer needs.

• Ensure projects are on track, resources are allocated efficiently, and deadlines are met.

• Engage actively with the customers & our support team to understand customer issues and feedback, and integrate customer experience into the development processes.

• Ensure the reliability and scalability of our cloud-based managed service, addressing any technical challenges and optimizing performance.

• Manage technical debt, including long term technical architecture decisions and balance product roadmap.

What you bring to the role:

• Deep prior experience in software engineering, with multiple years of experience in a people management role.

• Strong technical background in distributed systems, data engineering, cloud computing, and technologies like Kubernetes and Docker.

• Proven track record in setting clear expectations and goals for the engineering team, delivering high-quality software products reliably and on time.

• Deep knowledge of architecture design, data structures, algorithms, online services, frameworks, and their tradeoffs.

• Demonstrated ability to develop detailed project execution plans, including the proactive identification and effective communication of potential risks.

• Experience with software development best practices, such as agile methodologies, code reviews, testing, CI/CD, version control, build & test automation, and debugging.

• Some flexibility in working hours to accommodate for the distributed nature of the team.

Bonus points if you have:

• 5+ years of experience managing or directing software engineering teams

• Experience with Apache Airflow or similar data workflow management tools; or expertise in ML/AI, particularly in MLOps.

• Contributions to open-source projects or a notable presence in the tech community, demonstrated through talks, articles, or blogs.

• Proven experience in managing distributed teams, highlighting your ability to lead and collaborate effectively in a remote work environment.

The estimated salary for this role ranges from $225,000 - $325,000, along with an equity component. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications.

#LI-DNI

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. Astronomer is a remote-first company.