Engineering Manager, OrgStore Blueprint — Lead Infra & AI

Datadog

Madrid

Híbrido

EUR 110.000 - 150.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

RSUs & ESPP
Professional development
Mentor and buddy program
Inclusive culture
Global benefits

Descripción de la vacante

Datadog is seeking an Engineering Manager for the OrgStore Blueprint Team. You will guide a high-performing group of engineers, shaping technical roadmaps and collaborating with product and support teams to deliver mission-critical data storage and search capabilities.

You will mentor engineers, manage projects across multiple streams, and ensure reliable, scalable infrastructure with cutting-edge AI-enabled tooling and practices. Hybrid work arrangements are available.

Formación

  • Seasoned software engineer with experience in building developer tools, running databases, and maintaining infrastructure with reliability focus.

Responsabilidades

  • Guide and mentor a diverse team of 4-8 software engineers, fostering career growth and high performance.
  • Drive the technical roadmap with product and support teams to align with business goals and improve customer satisfaction.
  • Engage with complex technical problems and produce actionable plans.
  • Be a core contributor and reviewer of code, lead design decisions, and participate in on-call rotation.
  • Align technical decisions with business objectives to drive long-term innovation.
  • Contribute to engineering-wide initiatives as part of Datadog’s engineering management team.

Conocimientos

Software engineering
Leadership
Project management
AI coding tools
Communication
Team mentoring

Herramientas

Datadog tools

Descripción del empleo

Datadog is seeking an Engineering Manager for the OrgStore Blueprint Team. You will guide a high-performing group of engineers, shaping technical roadmaps and collaborating with product and support teams to deliver mission-critical data storage and search capabilities.

You will mentor engineers, manage projects across multiple streams, and ensure reliable, scalable infrastructure with cutting-edge AI-enabled tooling and practices. Hybrid work arrangements are available.

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