Senior Software Engineer

Summary

Join Astronomer's Office of the CTO as a Software Engineer and become a 'hacker in residence', prototyping and validating innovative ideas, particularly focusing on how Generative AI will transform data professionals' work. Collaborate with the R&D team to design next-generation features for managing Apache Airflow at scale. You will build LLM-based prototypes and contribute to Astronomer's thought leadership. The role requires significant software product development experience and strong communication skills. While specific tech stacks aren't mandatory, familiarity with Go, Python, and React/TypeScript is beneficial. Astronomer offers a competitive salary ($180,000-$210,000), equity, and a comprehensive benefits package. The company is remote-first and values diversity.

Requirements

• Significant experience building software products
• Strong communication and collaboration skills
• Willingness to challenge the status quo and explore uncharted territories with technologies - or, put another way, an instinct to prove things for yourself instead of accepting conventional wisdom
• Passion for dev tools, the data space, or open source technologies
• Empathy for the customer/user experience of both Astronomer and Apache Airflow users
• A bias for action and ability to work independently / think creatively

Responsibilities

• Act as a "hacker in residence," rapidly prototyping and validating ideas using diverse technologies
• Collaborate with the R&D team to envision and prototype next-gen features for managing Apache Airflow at scale
• Identify areas for improvement and devise innovative solutions aligned with Astronomer's long-term vision
• Build LLM-based prototypes and features that meaningfully change the way data engineers work
• Contribute to intellectual property, articles, and talks showcasing Astronomer's thought leadership
• Communicate effectively, articulating research goals, progress, and outcomes
• Convey complex technical concepts to both technical and non-technical audiences

Preferred Qualifications

• Familiarity with Apache Airflow or other data orchestration projects
• Demonstrated contributions to open source projects
• Exposure to unconventional career paths or startup environments
• Demonstrated ability to work full-stack or understand new technologies and languages quickly
• Experience building out prototypes and early-stage products or features, particularly with LLMs, vector databases, knowledge graphs, etc

Benefits

• The estimated salary for this role ranges from $180,000 - $210,000 based on leveling and geography, along with an equity component and a comprehensive benefits package
• Remote work