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Software Engineer

Netflix - 1d ago

Company Logo
Senior Software Engineer

Reddit - 4d ago

Staff Engineer - Data Platform Experience

Requirements:

  • You have experience designing and building large-scale SaaS or cloud platforms with deep expertise in distributed systems.
  • You have strong software architecture and system design skills and have successfully led complex technical initiatives across multiple teams.
  • You have a platform engineering mindset and enjoy building reusable capabilities that enable other engineering organizations to move faster.
  • You are an effective communicator who can influence technical direction without direct authority and collaborate across organizational boundaries.
  • You have experience with backend technologies such as Java and Go, and distributed infrastructure including Kafka and Kubernetes

Nice to Haves:

  • Experience with observability platforms, internal developer platforms, operational tooling, developer productivity solutions, or AI-powered engineering workflows is beneficial but not required.

What You'll Be Doing:

  • Lead strategic engineering initiatives that improve how product teams build, operate, and evolve services on the Observability Data Platform.
  • Design and build scalable platform capabilities for cost intelligence, including cloud cost allocation, trend analysis, and optimization recommendations.
  • Develop operational intelligence and self-service tooling that helps engineering teams understand platform health, troubleshoot incidents, and improve operational efficiency.
  • Drive reusable platform services and developer workflows that increase engineering autonomy while reducing operational complexity across multiple products.
  • Provide technical leadership across teams by influencing architecture, mentoring engineers, and raising engineering standards through hands-on technical contributions.
  • Participate in the team's on-call rotation and continuously improve platform reliability, observability, and operational excellence.

Perks and Benefits:

  • Generous and competitive benefits package
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Continuous career development and pathing opportunities
  • Employee-focused best in class onboarding
  • Internal mentor and cross-departmental buddy program
  • Friendly and inclusive workplace culture
AI Summary ✨
Datadog logo

Datadog

Remote - Lisbon, Portugal (Remote)

Remote
Experience: Staff
Posted: August 10, 2026
Last seen: 2 hours ago
Golang
Java
Kubernetes
backend

Why we track Datadog

Datadog has grown fast and has engineering teams across Europe, including Paris where they were originally founded. Observability is a space where the technical challenges are real—high-throughput data, distributed systems, real-time processing.

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