Security Engineer
Ort: Multi-Location (2 Locations) · Bereich: Engineering & Softwareentwicklung · Level: Mid-Level · Veröffentlicht: 21. April 2022 · Geprüft: 10. Okt. 2026
Rollenübersicht & Beschreibung
Team-Wachstum & Marktbewegung von Hive beobachten
Polaris7 aggregiert offene Vakanzen, strategische Marktbewegungen und M&A-Signale in Echtzeit. Erhalte automatische Signal-Briefings zu Hive und vergleiche das Ökosystem mit direkten Wettbewerbern.
Hive
thehive.aiEnterprise-KI-APIs für Moderation, Betrugserkennung und Inhaltssicherheit.
Vollständiges Unternehmensprofil, Wettbewerber & Marktsignale zu Hive freischalten
Ähnliche Positionen im DACH-Ökosystem
Verwandte Rollen und Profile aus dem AdTech-, Media- und Datenmarkt
This role focuses on security engineering, protecting HeyGen's infrastructure and applications. The engineer will implement security measures, conduct assessments, and respond to incidents.
This Information Security Engineer role secures the infrastructure processing 2.2 billion daily requests and 2 billion notifications across 450+ servers. The engineer will implement security controls, monitor for threats, and ensure the integrity of high-scale, real-time communication systems. The role involves working with AI and machine learning technologies to protect the platform and customer data.
Design and implement security measures to protect PheedLoop's platform and customer data. Conduct security assessments, respond to incidents, and ensure compliance with industry standards.
This Security Operations Engineer role owns day-to-day security operations including vulnerability management, threat model reviews, and incident support. The engineer will run and extend SecOps AI agents for triage and assessment, make escalated security decisions, and drive vulnerability remediation with development teams. Requires solid GCP knowledge (IAM, service accounts, logging), ability to judge SAST findings, and fluency with AI tooling.
Weitere Positionen bei Hive
3 weitere offene Stellen
This role supports the Hive Models team in defining product requirements and implementation, collaborating with ML, Core Infrastructure, and Product teams. The APM will contribute to the development of cloud-hosted deep learning models and build a foundation for future product ownership.
This role supports the Data Operations team in developing proprietary AI models by managing projects that deliver high-quality training and testing datasets. The analyst will analyze priorities, metrics, and deliverables, playing an essential part in the product development lifecycle within a fast-growing startup.
This role involves working directly with customers to deploy and customize Hive's AI solutions, often integrating them into client environments. The engineer will build and adapt software to meet specific customer needs, requiring strong problem-solving and communication skills.