Senior Software Engineer, Build

About the role

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life. We are the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Our R&D team is developing a global context layer for data—an intelligence layer that powers search and discovery, code generation for data and analytics, and automated root cause analysis.

Responsibilities

• Shape the future of AI for data engineering - build intelligent systems that understand, reason about, and optimize the flow of data across entire organizations.
• Design and engineer the brain of Astronomer’s context layer, crafting components that power data modeling, semantic search, retrieval, and code generation.
• Push the boundaries of applied AI - experiment with LLMs, embeddings, and cutting-edge retrieval techniques to create developer tools that deliver insights to you and our customers.
• Turn research into reality - work side by side with R&D and product teams to bring early AI concepts to life in the product experience.
• Solve high-impact information retrieval and search challenges at a global scale, leveraging Astronomer’s unparalleled visibility into data pipelines across industries.
• Influence the technical vision and architecture for the next generation of AI-driven data products.
• Represent Astronomer in the community - through open-source contributions, technical talks, and publications that showcase our leadership in AI and data innovation.

Requirements

5-8 years of software engineering experience with Python or Go

Empathy for users, and a deep interest in improving the workflows of data professionals

Familiarity with early-stage product development; comfortable working with ambiguity in a fast-changing field

Experience with LLMs, vector databases, embeddings, or other applied AI areas—or a strong desire to dive in

A creative, experimental mindset: you enjoy exploring uncharted areas, validating hypotheses, and learning through iteration

Strong collaboration and communication skills—you can explain complex systems clearly to both technical and non-technical audiences

A collaborative approach and comfort working in an evolving, research-driven environment where ideas move quickly

Bonus points if you have:

• A passion for AI systems for data, developer tools, or machine learning infrastructure
• Familiarity with Apache Airflow or other orchestration tools
• Demonstrated contributions to open source projects
• Experience in search, IR, or large-scale data infrastructure
• Exposure to early-stage startups or R&D organizations where ambiguity is the norm
• Experience building out agentic systems on top of frontier models

Pay

The estimated total compensation for this role ranges from $200,000 - $230,000 based on leveling and geography, along with an equity component and a comprehensive benefits package.