Datadog

Company Name: Datadog
Job Title: Product Design Intern
Job Description: **Job Title** Product Design Intern **Role Summary** Design and develop user interfaces for technical tools and data‑driven products, including dashboards, data visualizations, and incident notebooks. Collaborate with design leaders, product managers, and engineers to transform user research into actionable ideas, prototype concepts, and deliver polished design artifacts that power Datadog’s global product suite. **Expectations** * Enrolled in a product, interaction, or related design program, expected graduation 2026. * 6‑month internship commencing February, March, April, May, or June 2026 (no other start dates). * Ability to work in a hybrid or remote setting while attending in‑person cohort events as needed. * Demonstrated initiative, drive, and adaptability in fast‑paced environments. **Key Responsibilities** 1. Partner with design leaders and product managers to analyze customer usage patterns and uncover opportunities for innovation. 2. Lead design work from concept through execution: synthesize research, generate interaction ideas, create prototypes, and produce high‑quality design deliverables. 3. Present design concepts and rationale to peers and stakeholders with clarity and confidence. 4. Collaborate closely with design‑systems engineers and product engineers to ensure designs are implemented accurately and efficiently. **Required Skills** * Hands‑on experience in digital product design and a portfolio showcasing thoughtful interaction design for web applications. * Strong communication skills; able to articulate design decisions and advocate for end‑user needs. * Systematic thinking and familiarity with component‑based design patterns. * Openness to feedback and a willingness to iterate on work and help teammates improve. * Self‑motivation, initiative, and ability to thrive in a dynamic, fast‑paced environment. **Required Education & Certifications** * Current enrollment in a bachelor’s or master’s degree program in product design, interaction design, human‑computer interaction, or a related field. * Expected graduation in 2026. * No formal certifications required; portfolio and academic background must demonstrate competency in modern UI/UX design practices.

Paris, France

Hybrid

Fresher

04-11-2025

Company Name: Datadog
Job Title: Technical Solutions Operations Engineer 2 - Paris
Job Description: **Job Title** Technical Solutions Operations Engineer 2 **Role Summary** Support and enhance the global Technical Solutions organization’s internal tooling and workflows. Engage in administration, automation, documentation, and solution evaluation to enable teams to meet KPIs and operational goals. **Expectations** - Deliver timely system administration and support for core tools (Zendesk, Jira, AWS, etc.). - Drive operational efficiency through automation scripts and tooling. - Maintain accurate architecture, process, and data flow documentation. - Collaborate with cross‑functional stakeholders to clarify requirements and recommend technology solutions. - Work in a hybrid model, 3–5 days onsite per week. **Key Responsibilities** - Administer and monitor core systems (Zendesk, Jira, Azure/ AWS, etc.) ensuring high availability and performance. - Create, test, and deploy automation scripts (Python, JavaScript, Java, etc.) to reduce manual tasks. - Document system architecture, data flows, and process maps for technical and non‑technical audiences. - Evaluate business requirements, propose appropriate technology solutions, and oversee implementation. - Provide first‑line support and guidance to Technical Solutions teams on system usage and best practices. - Collaborate with product and engineering to refine tooling and workflow improvements. **Required Skills** - 2+ years of Business Systems Engineering or Operations experience. - 1+ year hands‑on experience with Zendesk, Salesforce, or equivalent CRM platform. - Proficiency in an object‑oriented programming language: Python, JavaScript, Java, or similar. - Strong scripting and automation capabilities. - Familiarity with JIRA and workforce management platforms. - Solid documentation and communication skills. - Problem‑solving mindset, self‑motivation, attention to detail, and client‑centric approach. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Systems, or equivalent technical background. - Relevant certifications (e.g., Zendesk Support Administrator, Salesforce Administrator) are a plus but not mandatory. ---

Paris, France

Hybrid

Junior

06-11-2025

Company Name: Datadog
Job Title: Senior Software Engineer (MLOps) – Serving
Job Description: Job Title: Senior Software Engineer (MLOps) Role Summary: Design, implement, and scale end‑to‑end infrastructure for serving machine learning and large‑language‑model inference across distributed data centers, ensuring high availability, observability, and performance for production workloads. Expectations: Lead architecture and development of distributed inference systems; collaborate across infrastructure, observability, and ML engineering; deliver self‑service tooling for applied scientists; maintain SLAs and optimize for multi‑GPU and heterogeneous compute environments. Key Responsibilities: - Architect and build scalable ML/LLM model serving pipelines with Ray or equivalent frameworks. - Design inference infrastructure for low- to high-throughput workloads, including CPU and GPU deployment strategies. - Enable self‑service CI/CD, rollback, and shadow traffic for model lifecycle management. - Implement A/B testing and shadow deployments to evaluate new model versions. - Collaborate with platform teams on GPU provisioning, traffic routing, and runtime performance tuning. - Instrument inference workflows with comprehensive telemetry (latency, tokens, errors) for performance and safety analytics. - Troubleshoot and optimize distributed system performance and reliability. Required Skills: - 6+ years backend/infrastructure engineering; 2+ years on ML/AI platforms. - Proven experience building distributed systems for model serving or large‑scale APIs. - Strong proficiency in Python, Go, or comparable systems languages. - Experience with Ray, TorchServe, Triton, or BentoML. - Hands‑on knowledge of GPU compute and heterogeneous workload orchestration. - Solid understanding of performance tuning, observability, and CI/CD pipelines. - Familiarity with AI observability, rollback strategies, or deployment proxies is a plus. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

Valbonne, France

On site

Senior

12-11-2025

Company Name: Datadog
Job Title: Software Engineer with Systems Depth
Job Description: Job title: Software Engineer – Systems Infrastructure Role Summary: Design, build, and maintain scalable, high‑performance infrastructure that supports millions of customers and high‑volume, low‑latency workloads. Deliver reliable, cost‑efficient services, troubleshoot and resolve bottlenecks, automate operations, and collaborate with developers on data modeling and datastore selection. Expectations: - Own infrastructure delivery from design to production, ensuring minimal downtime and optimal cost. - Actively address production issues, conducting deep root‑cause analyses. - Maintain 24/7 availability for critical services and datastores. - Champion simplicity, reliability, durability, and scalability in all solutions. Key Responsibilities: - Architect and implement infrastructure components to scale with exponential growth. - Diagnose and fix performance bottlenecks across platform code and client applications. - Provide 24x7 support for owned services and databases. - Develop tooling and automation that reduce manual intervention and improve observability. - Partner with developers to design data models and evaluate datastore options. Required Skills: - Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or related field, or at least 5 years of professional experience. - Production experience with distributed systems (e.g., Zookeeper, Cassandra, Postgres, FoundationDB, Kafka, Elasticsearch, Redis, MongoDB). - Proficiency in one or more programming/scripting languages (Go, Java, Rust, C/C++). - Strong ability to design simple, performant architectures for large‑scale problems. - Familiarity with AI tools for development or eagerness to adopt them. - Bonus: Hands‑on experience with a major cloud provider (AWS, Azure, GCP). Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or a quantitatively related field, or equivalent professional experience. - No mandatory certifications; relevant technical certifications (e.g., cloud provider credentials) are a plus.

Bordeaux, France

On site

Mid level

30-11-2025

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