3 staff platform engineer jobs at 3 companies in Indiana
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Sr Staff Platform Engineer / Team Lead
Cambridge or West Lafayette
$170k-$233k/yrOnsiteFull Time
Inari: Designs gene-edited seeds to increase crop yield and sustainability.
7+ YOE2+ Mgmt7+ years engineering experience, 2+ years technical leadership, hands-on platform architecture in data/AI, proficiency with Python, AWS, Kubernetes/EKS, and building CI/CD and infrastructure for AI systems.
United States or San Francisco or Arizona or California or Colorado or Connecticut or District of Columbia or Florida or Georgia or Idaho or Illinois or Indiana or Kentucky or Maine or Maryland or Massachusetts or Michigan or Minnesota or Missouri or Nevada or New Hampshire or New Jersey or New Mexico or New York or North Carolina or Ohio or Oregon or Pennsylvania or Rhode Island or Tennessee or Texas or Utah or Virginia or Washington or Wisconsin or Kitchener or Toronto or London or New York City
$295k-$406k/yrHybridFull Time
Faire: Online wholesale marketplace connecting independent retailers with unique brands.
10+ YOE10–12 years building large-scale ML or data platforms; degree preferred in a technical field; deep Databricks expertise, distributed systems, ML infrastructure, cloud architecture, and cross-functional technical leadership.
Chicago or St. Petersburg or Alabama or Arkansas or Arizona or California or Colorado or Connecticut or Florida or Georgia or Idaho or Illinois or Indiana or Iowa or Kansas or Kentucky or Massachusetts or Maine or Maryland or Michigan or Minnesota or Missouri or Montana or North Carolina or Nebraska or New Jersey or New Mexico or Nevada or New York or Ohio or Oklahoma or Oregon or Pennsylvania or South Carolina or South Dakota or Tennessee or Texas or Utah or Vermont or Virginia or Washington or Wisconsin or Ontario
$159k-$187k/yrRemoteFull Time
Kin: Provides data-driven homeowners insurance for climate-affected regions.
8+ YOE8+ years in analytics/BI/data modeling, deep semantic and dimensional modeling experience, hands-on with ontology or semantic layers, familiarity with lakehouse platforms and Databricks, strong communication and technical leadership.