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Datadog

Datadog

datadoghq.com

11 Jobs

8,418 Employees

About the Company

Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.


Listed Jobs

Company background Company brand
Company Name
Datadog
Job Title
Software Engineer - Backend & Scalability
Job Description
**Job Title:** Software Engineer – Backend & Scalability **Role Summary:** Design, build, and maintain high‑performance backend services that ingest, process, and store large volumes of data for global observability and security products. Collaborate on distributed systems and internal platforms, delivering production code in Go, Python, or Java. **Expectations:** - 3+ years of production backend engineering experience. - Proficiency in at least one backend language (Go, Python, Java, C++, Rust, etc.). - Experience handling production traffic via APIs, batch jobs, or internal tools. - Foundational knowledge of distributed system concepts (messaging, scaling, fault tolerance) with a desire to deepen expertise. - Strong emphasis on clean, maintainable code and thoughtful design. **Key Responsibilities:** - Develop and maintain reliable services that process and store terabytes of data daily. - Contribute to internal platforms, APIs, and tooling that support distributed products. - Collaborate with senior engineers on system architecture, design discussions, and trade‑offs. - Ship production-ready code in Go, Python, or Java. - Participate in code reviews, mentorship sessions, and technical design meetings. - Apply distributed system patterns and best practices in hands‑on development. **Required Skills:** - Backend development in Go, Python, or Java (or equivalent language). - Experience building and scaling production‑grade services. - Understanding of distributed systems principles (messaging, fault tolerance, scalability). - Familiarity with data ingestion pipelines, event streaming, and batch processing. - Knowledge of API design, performance tuning, and reliability engineering. - Strong debugging, testing, and continuous integration skills. **Required Education & Certifications:** - Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Paris, France
On site
Junior
21-09-2025
Company background Company brand
Company Name
Datadog
Job Title
Senior Data Scientist - AI Systems for Business Teams
Job Description
**Job Title:** Senior Data Scientist (AI Systems for Business Teams) **Role Summary:** Design and deploy machine learning systems to optimize revenue-generating workflows across customer-facing teams. Translate models into scalable, production-ready solutions integrated with business operations. **Expectations:** End-to-end ownership of ML projects, production-readiness standards, and instrumenting model performance monitoring. Collaborate with cross-functional teams to integrate AI/ML into business systems. **Key Responsibilities:** - Develop ML systems for revenue-focused use cases (lead scoring, customer conversion, feature adoption clustering, recommendations). - Manage full project lifecycle: problem definition, data sourcing, experimentation, deployment, monitoring, and iterative improvements. - Establish production-readiness criteria (versioned data, reproducible pipelines, SLAs, rollback strategies). - Implement model monitoring for drift, retraining triggers, performance dashboards, and alerts. - Integrate model outputs into business tools (Salesforce, Marketo, Customer Success platforms). - Partner with data engineering to leverage scalable infrastructure (training, serving, access control). - Contribute to organization-wide ML standards through library development and documentation. **Required Skills:** - 6+ years applied ML/data science, including production system ownership. - Proficiency in Python; experience with Airflow, dbt, Snowflake, Spark, or similar tools. - CI/CD for ML systems: automated testing, feature versioning, canary releases, rollback protocols. - End-to-end ML lifecycle expertise: dataset design, A/B testing, offline/online evaluation, observability. - Experience measuring model impact via business KPIs and integrating outputs into workflows. - Collaboration skills across technical and non-technical stakeholders; product focus on reliability and outcomes. **Required Education & Certifications:** Master’s or PhD in Computer Science, Statistics, or related field; 6+ years applied ML/data science experience.
Paris, France
On site
Senior
26-09-2025
Company background Company brand
Company Name
Datadog
Job Title
Senior Product Marketing Manager (Cloud Cost Management)
Job Description
San francisco, United states
On site
Senior
21-10-2025
Company background Company brand
Company Name
Datadog
Job Title
Staff Applied Scientist - Applied AI
Job Description
Job title: Staff Applied Scientist – Applied AI Role Summary: Lead end‑to‑end applied‑AI initiatives across the organization, designing, prototyping, scaling, and productionizing machine learning solutions. Mentor senior team members and champion best practices in data science and engineering. Expectations: * Demonstrate ownership of high‑impact projects with measurable business outcomes. * Navigate entire ML lifecycle—from concept to production at scale—while ensuring code quality, reproducibility, and maintainability. * Communicate effectively with engineering, product, and business stakeholders, presenting findings and driving adoption. * Mentor applied scientists, fostering a culture of excellence and continuous improvement. Key Responsibilities: 1. Identify strategic business opportunities through data exploration and rapid prototype development. 2. Build, deploy, and operate scalable ML models and pipelines (batch & real‑time) on structured and unstructured data. 3. Collaborate with applied scientists and engineers to evolve the next generation of product features. 4. Mentor and guide applied scientists on technical decisions, coding standards, and comprehensive documentation. 5. Present work in demos, internal talks, and stakeholder meetings to secure buy‑in and generate excitement. 6. Engage with the broader applied‑science community to raise the organization’s profile. Required Skills: - 8+ years in applied science, data science, ML engineering, or technical leadership. - Proven track record of delivering end‑to‑end ML products that solve real‑world business problems. - Deep expertise in ML lifecycle, algorithms, and domains such as anomaly detection, NLP, computer vision, personalization, or recommendation. - Strong programming in Python or Scala; familiarity with unit testing, code reviews, CI/CD, and production deployment. - Experience with data engineering concepts and tools (Spark, data pipelines, data storage). - Product‑oriented mindset: translate technical solutions into user‑centric features. - Excellent written and verbal communication across technical and non‑technical audiences. Required Education & Certifications: * Master’s degree or PhD in Computer Science, Machine Learning, Statistics, or a related field. * Relevant certifications (e.g., TensorFlow, PyTorch, AWS Certified Machine Learning) are a plus but not mandatory.
Paris, France
On site
Senior
19-10-2025