Principal Engineer
Ort: New York, NY · Bereich: Engineering & Softwareentwicklung · Level: Principal · Veröffentlicht: 8. September 2026 · Geprüft: 12. Nov. 2026
Rollenübersicht & Beschreibung
Team-Wachstum & Marktbewegung von Kargo beobachten
Polaris7 aggregiert offene Vakanzen, strategische Marktbewegungen und M&A-Signale in Echtzeit. Erhalte automatische Signal-Briefings zu Kargo und vergleiche das Ökosystem mit direkten Wettbewerbern.
Kargo
kargo.comPremium-AdTech-Plattform für programmatische Werbung, Creative Orchestration und Retail Media.
Vollständiges Unternehmensprofil, Wettbewerber & Marktsignale zu Kargo freischalten
Ähnliche Positionen im DACH-Ökosystem
Verwandte Rollen und Profile aus dem AdTech-, Media- und Datenmarkt
This principal engineering role involves leading technical projects, setting architectural direction, and mentoring engineers. The engineer will work on complex systems, ensuring high performance and scalability across the platform.
Leads Kubernetes infrastructure design and implementation, ensuring scalability and reliability. Provides technical guidance on container orchestration and cloud-native practices.
Lead the design and development of Cazoo's core platform services, ensuring high availability and scalability. Mentor engineers and drive technical strategy for the marketplace.
Lead technical architecture and innovation for brand engineering initiatives. Mentor engineers and drive best practices in software development.
Weitere Positionen bei Kargo
3 weitere offene Stellen
Builds and maintains data pipelines and analytics infrastructure to enable data-driven decision-making across the organization. Requires expertise in SQL, data modeling, and ETL tools like dbt and Airflow, with experience in cloud data warehouses such as Snowflake.
Develops and deploys machine learning models to optimize Kargo's advertising platform, focusing on algorithmic optimization and data-driven solutions. Requires strong programming skills in Python and experience with ML frameworks like TensorFlow or PyTorch, as well as cloud platforms such as AWS.
Manages revenue and marketing technology systems, optimizing system integrations and driving operational efficiency. Requires experience with marketing automation platforms like HubSpot or Marketo, CRM systems such as Salesforce, and data integration tools like Segment.