Software Engineer, Machine Learning

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

At Astronomer, our R&D team is dedicated to providing an exceptional experience in managing Apache Airflow at scale. As a leading player in the industry, we are seeking an ML-focused Software Engineer to work on our observability platform – Astro Observe. You will play a pivotal role in designing and building Astro Observe, with a focus on Machine Learning powered features that deliver actionable insights to our customers about their data pipelines and data products. Your contributions will directly impact our ability to scale and deliver exceptional value to our customers.

What you get to do:

• Contribute to the design, development and vision of Astro Observe.

• Lead the effort in Machine Learning powered features that provide actionable insights to our customers about their data pipelines and data products.

• Collaborate with cross-functional teams to understand user requirements, implement and iterate on the observability and governance features.

• Continuously evaluate and improve the architecture and implementation of our observability platform.

• Contribute to the overall platform usability, reliability, and scalability.

What you bring to the role:

• A strong focus on helping customers gain more visibility and actionable insights through our observability offerings.

• Strong written and verbal communication skills, with the ability to find middle ground.

• 3+ years of engineering experience in production settings.

• Experience with Machine Learning or Statistics in operational settings.

• Experience with fast-paced startup environments.

• Experience with SQL and OLAP databases.

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

Bonus points if you have:

• Experience with data observability products.

• Experience with LLM in operational settings.

• Experience with Golang.

• Experience with distributed systems and stream processing.

• Experience with Apache Airflow or related workflow orchestrators.

The estimated salary for this role ranges from $180,000 - $200,000, 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-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.  Astronomer is a remote-first company.