Senior Backend Engineer: Scale, AI-Driven Observability

Datadog, Inc.; Paris; Hybrid; EUR 110,000 - 170,000; Full time

Benefits offered by this job

RSUs

ESPP

Career development

Mentor program

Community Guilds

Inclusion Talks

Mental health benefits

Competitive benefits

Job summary

Datadog is building the leading observability and security platform for the AI era, serving thousands of customers worldwide from a high-growth environment. You will tackle core scaling challenges, deploy feature-rich updates, and own production issues, collaborating with engineers to improve performance and reliability.

Join a hybrid, inclusive culture that fosters mentorship, career growth, and cutting-edge AI-enabled tooling to advance software engineering practices at scale.

Qualifications

• Significant experience in one or more programming languages.
• Value code simplicity and performance.
• Ability to design architectures for high-scale systems.
• Interest in leveraging AI tools to enhance coding and problem solving.
• Experience using AI coding tools in day-to-day workflows.

Responsibilities

• Solve a scaling bottleneck in a critical service.
• Deploy a new feature to production with feature flags.
• Investigate and fix a production issue from a service you own.
• Design a way to scale a service for more traffic.
• Plan the most important projects to work on next with your team.

Skills

Multi-language experience

Performance-focused

High-scale architecture

AI tooling

Problem solving

Education

BS/MS/PhD in a scientific field

Job description

Datadog is building the leading observability and security platform for the AI era, serving thousands of customers worldwide from a high-growth environment. You will tackle core scaling challenges, deploy feature-rich updates, and own production issues, collaborating with engineers to improve performance and reliability.

Join a hybrid, inclusive culture that fosters mentorship, career growth, and cutting-edge AI-enabled tooling to advance software engineering practices at scale.