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Description:
Astronomer is seeking a Software Engineer focused on Machine Learning to join their R&D team, working remotely in Canada.
The role involves designing and building Astro Observe, an observability platform that provides actionable insights about data pipelines and data products.
Responsibilities include contributing to the design and development of Astro Observe, leading efforts in Machine Learning features, collaborating with cross-functional teams, and continuously improving the platform's architecture and implementation.
The position emphasizes enhancing platform usability, reliability, and scalability.
Requirements:
Candidates must have a strong focus on helping customers gain visibility and actionable insights through observability offerings.
Strong written and verbal communication skills are required, with the ability to find common ground.
A minimum of 3 years of engineering experience in production settings is necessary.
Experience with Machine Learning or Statistics in operational settings is required.
Candidates should have experience in fast-paced startup environments.
Proficiency in SQL and OLAP databases is essential.
Familiarity with software development best practices, including code reviews, testing, CI/CD, version control, automation, and debugging, is required.
Benefits:
The estimated salary for this role ranges from CA$185,000 to CA$215,000, along with an equity component.
The salary range reflects a willingness to consider candidates with varying levels of seniority.
Actual compensation may vary based on skills, experience, and qualifications.
Astronomer values diversity and is an equal opportunity employer, promoting a remote-first work environment.