Jobless Developer
Gridware logo
Gridware

Posted 5 months ago

Open

Senior ML Infrastructure Engineer

San FranciscoOn-siteFull-time

AI Summary

Senior ML Infrastructure Engineer who designs, builds, and maintains infrastructure and tooling for reliable, scalable production ML model deployment, monitoring, and CI/CD workflows.

About this role

About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

Role Description
As a Senior ML Infrastructure Engineer, you will work directly in the Automation org with the core ML, Ops, and Analytics teams to help improve and build out the infrastructure around model deployment and monitoring. This role is essential to helping scale out the amount of time saving’s Gridware brings to customers.

Responsibilities

  • Design, build, and maintain the infrastructure, tooling, and workflows that enable reliable, scalable deployment of ML models to production.
  • Develop monitoring and observability systems to track model performance, data drift, data quality, and overall system health.
  • Create and maintain end-to-end testing frameworks and simulation environments to validate models and pipelines prior to deployment.
  • Work closely with Data Engineering and Platform Engineering teams to ensure ML systems integrate cleanly with broader Gridware infrastructure and operational standards.
  • Improve CI/CD pipelines for ML workloads, ensuring reproducibility, safe rollout, and automated rollback strategies.

    • Required Skills

  • 5+ years of experience building production ML infrastructure
  • Strong software engineering skills and proficiency in Python
  • Experience with cloud platforms (AWS) and container orchestration (Kubernetes)
  • Familiarity with feature stores, model registries, or centralized metadata systems (i.e. MLFlow)

    • Skills

    AWSCI/CDCloud PlatformsContainerizationData DriftData QualityEnd-to-end TestingFeature StoreKubernetesMLflowMLOpsModel RegistryObservabilityPythonSimulation EnvironmentsTesting Frameworks

    Explore related jobs

    More jobs at Gridware

    Similar AWS jobs

    Jobs in San Francisco

    Browse these categories

    AWS JobsCI/CD JobsCloud Platforms JobsContainerization JobsData Quality Jobs