Senior Software Engineer - Analytics Data Platform

Datadog, Inc.; Paris; Hybrid; EUR 110,000 - 160,000; Full time

Benefits offered by this job

RSUs

Employee Stock Purchase Plan (ESPP)

Professional development

Mentor programs

Job summary

Datadog is seeking a senior platform/ backend engineer for its Analytics Data Platform Batch team. You will work on AI-driven automation, multi-datacenter testing, and engine-agnostic batch execution, ensuring reliable and scalable data processing across 800k+ Spark jobs daily.

You will collaborate with data engineers and scientists, leverage Spark internals, and apply AI-assisted tooling to improve coding workflows and observability.

Qualifications

• Significant backend development experience in one or more languages (Go, Java, Python, Scala).
• Experience with Spark internals and batch/large-scale processing.
• Experience building platform or infrastructure used by other engineers.
• Strong distributed systems background and Kubernetes fundamentals.
• Excellent English communication and cross-team collaboration.

Responsibilities

• AI-driven version migration automation for Spark and JVM.
• Build tooling that analyzes compatibility, generates PRs, and orchestrates multi-datacenter testing.
• Engine-agnostic batch execution and platform reliability at scale.
• Spark Pod Autosizing and resource tuning.
• Assess tradeoffs across execution models.

Tools

Spark

PySpark

Go

Java

Python

Scala

Kubernetes

Ray

Job description

The Analytics Data Platform Batch team owns the platform that powers batch data processing across Datadog’s internal data infrastructure. We execute 800k+ Spark jobs daily - plus PySpark, Ray, and Python-based workloads - serving 50+ internal teams across billing, cost management, security intelligence, applied AI and more.

We are a platform engineering team: our customers are Datadog’s internal data engineers and scientists, and our product is the infrastructure, abstractions, and tooling they build on top of. We operate at the intersection of distributed systems, developer experience, cost engineering, and AI-assisted automation - working on problems that affect pipelines 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:

• AI-driven version migration automation: Spark and JVM
• Building agentic tooling that analyzes compatibility, generates PRs, and orchestrates multi-datacenter testing
• Engine-agnostic batch execution
• Platform reliability and scale
• Spark Pod Autosizing - CPU and memory allocations
• Understanding tradeoffs across execution models

Who You Are:

• You have 6+ years of experience
• You have significant backend programming experience in one or more languages (Go, Java, Rust, Python, Scala)
• Spark internals/infrastructure - executor lifecycle, memory model, dynamic allocation, resource tuning
• Experience building platform or infrastructure that other engineers depend on
• Distributed systems engineer with experience building high performance large scale systems
• Kubernetes fundamentals
• Excellent communication skills (English)
• High proactivity and cross-team collaboration experience
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• Bonus: AI/LLM integration in engineering workflows & Observability and cost attribution

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Here are our Candidate Legal Notices for your reference.

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Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.