Staff Engineer (Java/Go)

TL;DR

Staff Engineer (Java/Go): Building shared capabilities for an observability data platform, with an accent on distributed systems, cost intelligence, operational tooling, and developer experience. Focus on designing scalable platform services, improving reliability and visibility, and leading complex technical initiatives across multiple engineering teams.

Location: Lisbon, Portugal; hybrid workplace

Company

Datadog develops observability and monitoring products for cloud-scale engineering organizations.

What you will do

• Lead strategic initiatives that improve how product teams build, operate, and evolve services on the Observability Data Platform.
• Design and build scalable cost-intelligence capabilities covering cloud cost allocation, trend analysis, and optimization recommendations.
• Develop operational intelligence and self-service tooling for platform health, incident troubleshooting, and operational efficiency.
• Create reusable platform services and developer workflows that increase engineering autonomy and reduce operational complexity.
• Influence architecture across teams, mentor engineers, raise engineering standards, and contribute hands-on in code.
• Participate in the on-call rotation and improve platform reliability, observability, and operational excellence.

Requirements

• Experience designing and building large-scale SaaS or cloud platforms with deep distributed-systems expertise.
• Strong software architecture and system-design skills, with experience leading complex initiatives across multiple teams.
• Platform engineering mindset and ability to build reusable capabilities for other engineering organizations.
• Effective communication and ability to influence technical direction without direct authority.
• Backend development experience with Java and Go, plus distributed infrastructure such as Kafka and Kubernetes.

Nice to have

• Experience with observability platforms, internal developer platforms, operational tooling, developer productivity solutions, or AI-powered engineering workflows.

Culture & Benefits

• Hybrid workplace designed to support collaboration and work-life harmony.
• Competitive benefits package, with details varying by country and employment arrangement.
• New-hire stock equity through RSUs and an employee stock purchase plan.
• Career development, structured onboarding, mentoring, and cross-departmental buddy programs.
• Friendly and inclusive workplace culture.