Senior Software Engineer, Data Platform

Zeus AI • Cambridge, MA

1d

About The Position

Zeus AI is building machine learning models for global and regional Earth system modeling. The system ingests historical and near-real-time observations to create low-latency representations of the planet through machine learning data assimilation, using multiple observation types and resolutions to power forecasts and digital twin models.

The Senior Software Engineer will join the core science and engineering team and own the data infrastructure that provides near-real-time satellite feeds and model outputs. The role focuses on minimizing and monitoring downtime to meet customer service-level requirements, establishing DevOps and software and infrastructure design best practices, and developing and managing infrastructure for data platform operations, including data and inference pipelines. The work combines data engineering and machine learning operations for weather forecasts, system architecture optimization, and best practices across the stack.

The engineer will build data pipelines to ingest remote-sensing observations into Zeus AI’s data lake, optimize data loading into machine learning pipelines, and manage delivery of data to users through cloud storage, APIs, and web visualizations.

Requirements

• 5+ years of experience working on backend and data engineering.
• 1+ years of experience with geospatial datasets and processing.
• Experience operating live data pipelines with uptime requirements and status monitoring.
• Strong understanding of CI/CD, infrastructure as code, and DevOps practices for data platforms.
• Experience with cloud computing systems such as AWS, Azure, GCP, and Lambda.
• Strong interest in scientific research and development and a desire to contribute to cutting-edge advancements.
• Ability to independently drive technical projects and own systems end to end with a high degree of autonomy.

Responsibilities

• Own the data platform that powers machine learning weather models, including training and real-time inference.
• Design, implement, and operate robust pipelines to ingest, process, and serve multidimensional remote-sensing datasets from public and private providers.
• Maintain systems to monitor and report on pipeline health, data integrity, and computational performance.
• Lead platform engineering best practices across CI/CD, infrastructure as code, testing, deployments, and operational readiness.
• Minimize and monitor downtime to satisfy customer service-level requirements.
• Develop data pipelines to ingest remote-sensing observations into the data lake and optimize data loading into machine learning pipelines.
• Manage data serving to users through cloud storage, APIs, and web visualizations.

Benefits

• Competitive compensation, including salary and equity.
• Comprehensive benefits package including health, dental, vision, and 401(k) retirement options.
• Flexible work arrangements.
• Co-working space benefit.
• Access to extensive computing resources.
• Opportunity to work on cutting-edge Earth science and machine learning research.
• Collaborative work environment with scientists and engineers.
• Opportunity to contribute to climate solutions and improve weather forecasting.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed