Atlas AI is hiring a
Senior Lead Data Tooling Engineer

Summary

Join a dynamic team at Atlas AI as the Senior/Lead Data Tooling Engineer, responsible for designing, building, testing, and delivering GeoAI platform tools. You will work with engineers, data scientists, and product designers to advance our product roadmap.

Requirements

• Three or more years of recent work experience as a practicing Data Engineer or Software Engineer using Python, GDAL and other GeoSpatial tools deployed in the cloud as serverless applications (e.g. GCP Cloud Run) or orchestrated workflows (e.g. Airflow, Argo)
• At least two years building tools primarily used by less technical internal and external customers
• At least three or more years of recent work experience building around Earth Observation use-cases
• Technical ownership of key areas of a Product, such as one or two critical services
• Experience with building distributed computing infrastructure flexible for both on-demand and batch processing
• Self-starter attitude, comfortable working independently and in an entrepreneurial, start-up environment; thrives in high-trust environments with minimal resources/backing
• Fluency in English, both conversationally and professionally (technically) is a requirement; exceptional interpersonal communication, both written and oral
• Intellectual curiosity and desire to contribute across cultures in a dynamic global environment

Responsibilities

• Own the design, development, deployment and support of tools that enable AtlasAI Solution Engineers to write, deploy and curate cloud-scale data ingestion and processing pipelines
• Be the Subject Matter Expert ensuring that every AtlasAI colleague responsible for a data pipeline follows best practices
• Take absolute responsibility for AtlasAI’s most critical and strategic data pipelines
• Work closely with the Feature tooling team to ensure outputs of data pipelines are compatible with featurization pipelines
• Engage internal collaborators and our end-use partners and customers to understand needs, plan solutions and lead development of deliverables
• Close the feedback loop with Solutions, Engineering and Research teams to deliver customer experience and market insights
• Architect and develop serverless solutions that marry products within and across cloud platforms (e.g. GCP, AWS, Azure) that address customers’ needs
• Lead client-oriented API design and development
• Work with designers, product managers, and your fellow engineers to build APIs to support key functionality and use cases
• Actively participate to improve engineering standards, tooling, and processes