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Vacantes / Datadog

Manager I, Engineering - Source Code Integration

Datadog·Parissenior

En corto

  • →Liderazgo técnico de un equipo de ingenieros que gestiona la integración de código fuente en Datadog.
  • →Trabajas en plataformas escalables, arquitectura de eventos y servicios backend para conectar telemetry con código de clientes.
  • →Destacado: Impacto directo en la evolución hacia un producto más centrado en desarrolladores y con capacidad AI-ready.

Proficiency in English is required for collaboration across global teams.

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¿Qué piden?

  • ✓Liderazgo técnico en equipos de ingeniería con experiencia en desarrollo de plataformas
  • ✓Experiencia comprobada en sistemas backend escalables (Go, Python, Java, PostgreSQL, Kafka)
  • ✓Conocimiento en arquitectura basada en eventos y sistemas distribuidos
  • ✓Habilidades de gestión de stakeholders y priorización estratégica
  • ✓Capacidad para trabajar en equipo y fomentar el desarrollo profesional
  • ✓Disposición para participar en código cuando es necesario (hands-on)

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

GoPythonJavaPostgreSQLKafkaevent-driven architecturedistributed systemsplatform servicessource code integrationreal-time data streams

¿A quién escribirle en Datadog?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

Source Code Integration enables Product teams at Datadog to develop features that leverage our customers’ source code. This brings the platform closer to developers, as it helps them relate their telemetry to code to run automated investigations, debug their services with stack traces and profiles, scan their code for security issues, or make proactive fixes, among others. The team owns all the platform services, infrastructure and integrations required to access and synchronize our customer repositories in a secure, reliable and efficient manner. We are looking for a hands-on technical leader to drive the growth of our platform, as Datadog shifts left and becomes more developer-friendly and AI-ready. In this role you will lead the growth of our platform to support an increasing number of high profile features and teams, and work with a team of engineers of varied experience levels to shape our roadmap and deliver impactful solutions at scale. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: • Lead and cultivate a team of engineers of diverse experience levels, including performance management and career development • Lead technical and strategical discussions to better understand the challenges and opportunities faced by our team and our stakeholders • Own and drive the relationships with product teams and major stakeholders, balancing competing requests with long term investments, and prioritizing impact across the whole platform • Run a lightweight process to pace and track what we work on. Support the progressive delivery of high quality work through demos and frequent iteration • Stay in touch with your team’s systems, and roll up your sleeves when needed to unblock your team by writing code or troubleshooting issues • Support both internal and external customers resolve their issues, and find systematic solutions that elevate our platform and integration experience What we’re looking for: • A good collaborator, an enabler, a natural leader that puts people first • A backend engineer at heart, with experience building robust systems composed of multiple services, data streams and stores operating at scale • Significant experience with major backend technologies (e.g. Go, Python, or Java, PostgreSQL, Kafka), event driven architecture and or distributed systems • Experience running platform services, comfortable making tradeoffs and balancing short term impact with long term su

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