Senior Software Engineer (Build)

Join Astronomer, a leading data engineering platform, as a Senior Software Engineer. In this role, you will design and build the foundation for AI-driven data products, tackle challenging problems in search and information retrieval, and collaborate with a highly skilled team. You will have the opportunity to shape the future of AI for data engineering, influence technical vision and architecture, and represent Astronomer in the community. Enjoy a remote-friendly work environment, unlimited vacation, and competitive benefits.

• Conception et développement de systèmes intelligents qui comprennent, raisonnent et optimisent le flux de données au sein des organisations.
• Collaboration avec les équipes de recherche et développement pour transformer les concepts d'IA en réalité dans l'expérience produit.
• Résolution de défis d'information et de recherche à fort impact à l'échelle mondiale, en tirant parti de la visibilité inégalée d'Astronomer sur les pipelines de données.
• Empathy for users, and a deep interest in improving the workflows of data professionals
• A creative, experimental mindset: you enjoy exploring uncharted areas, validating hypotheses, and learning through iteration
• A collaborative approach and comfort working in an evolving, research-driven environment where ideas move quickly
• Experience with LLMs, vector databases, embeddings, or other applied AI areas—or a strong desire to dive in
• 5-8 years of software engineering experience with Python or Go
• Familiarity with early-stage product development; comfortable working with ambiguity in a fast-changing field
• Strong collaboration and communication skills—you can explain complex systems clearly to both technical and non-technical audiences
• 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