Senior Data Engineer

📋 Description

• Extend, scale, monitor, and manage hundreds of integrations reliably.
• Own and implement new connections across our integrations.
• Optimize AI pipelines for reliability and performance.
• ML experience in classification, clustering, time series, anomalies.
• Host and monitor NLP models and LLMs for real-time and batch inference.
• Develop monitoring systems and support innovative solutions.

🎯 Requirements

• Strong Python skills with production services or APIs; third-party API experience.
• SQL, ETL, and data modeling; ML solution lifecycle knowledge.
• Understand ML concepts and communicate with AI/Data Scientists.
• Docker, Git, cloud networking and security; Kubernetes is a plus.
• AI infrastructure on AWS/GCP, including SageMaker and Vertex.
• Airbyte experience is a significant advantage.

🎁 Benefits

• Fully remote with flexible core hours.
• In-person meetups and regular remote team events.
• Generous vacation policy.
• Growth opportunities and ongoing development.
• Dynamic, inclusive culture.
• Stock options in an early-stage startup.