Senior Software Engineer - Analytics Data Platform
Join Datadog as a Senior Software Engineer to enhance the Analytics Data Platform with AI-driven automation and scalable infrastructure.
Posted by employer 2 hours ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
What you'll build
- AI-driven version migration automation
- Building agentic tooling that analyzes compatibility
- Engine-agnostic batch execution
- Platform reliability and scale
- Spark Pod Autosizing
Must have
- 6+ years of experience
- Significant backend programming experience in one or more languages
- Experience building platform or infrastructure
- Distributed systems engineer with experience building high performance large scale systems
- Kubernetes fundamentals
- Excellent communication skills
Nice to have
- AI/LLM integration in engineering workflows
- Observability and cost attribution
AI in the day-to-day
You’re excited about leveraging AI tools to enhance how you code, solve problems, and build.
Requirements
- Experience
- 6+ years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Senior Software Engineer will focus on enhancing the Analytics Data Platform by developing tools for AI-driven version migration and optimizing batch execution across Datadog's infrastructure. Key skills include backend programming in languages like Go, Java, or Python, along with a solid understanding of Spark internals and distributed systems. This position is ideal for experienced engineers with a background in building scalable platforms and a proactive approach to cross-team collaboration. Datadog emphasizes a strong office culture and offers a hybrid work environment to support employee well-being.
Joblaze insights
- Listed today — first seen on Joblaze October 23, 2026. Last confirmed on Datadog's careers page October 23, 2026.
Quick facts
- Is the Senior Software Engineer - Analytics Data Platform role remote?
- It's hybrid — Datadog expects some on-site time in Paris, France.
- How much experience is required?
- At least 6 years of relevant experience for this Senior Software Engineer - Analytics Data Platform role.
- Where is the role based?
- Datadog is hiring for this position in Paris, France.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Go, Java, Kubernetes, PySpark, Python, Ray.
- What seniority level is this role?
- Datadog targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer - Analytics Data Platform role at Datadog.
From the original posting
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
#LI-Hybrid
About Datadog:
Standard company text repeated across Datadog's postings is omitted here.
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