Atlas AI is hiring a
Senior Lead Data Tooling Engineer
Atlas AI
๐ต $98k-$119k
๐Remote - Worldwide
Please let Atlas AI know you found this job on JobsCollider. Thanks! ๐
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 AtlasAIโs 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 customersโ 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
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Please let Atlas AI know you found this job on JobsCollider. Thanks! ๐