Senior Data Infrastructure Engineer

Gridmatic is an innovative startup focused on decarbonizing the grid through advanced deep learning and energy price forecasting. They're seeking a Senior Data Infrastructure Engineer to lead their data infrastructure scaling efforts. The role involves handling petabyte-scale weather data and improving the reliability of data pipelines crucial for ML operations.

The position requires expertise in building large-scale data processing pipelines, designing data storage systems, and implementing robust data infrastructure. The ideal candidate will have 4+ years of experience in data infrastructure and ML platforms, working with technologies like Spark, Kafka, and Kubernetes.

The company operates in energy markets, manages large battery storage systems (50MW+), and serves hundreds of businesses. Their tech stack includes Python, GCP, Kubernetes, Terraform, Flyte, React/NextJS, Postgres, and BigQuery. The role offers competitive compensation ($180,000-$317,000) plus stock options and comprehensive benefits.

Working in a hybrid environment from their Cupertino office, you'll be responsible for scaling data infrastructure, building ML feature stores, and managing massive weather datasets. This is an opportunity to make a real-world impact on climate and energy while working with a strong team of ML and energy experts.

The position offers excellent benefits including medical/dental/vision insurance, 401k matching, parental leave, flexible PTO, and education opportunities. If you're passionate about applying ML to climate solutions and comfortable with ambiguity in a fast-paced startup environment, this role could be perfect for you.