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Datadog

Datadog

datadoghq.com

13 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
Staff Software Engineer - APM Troubleshooting Experience
Job Description
France
Remote
Senior
11-09-2025
Company background Company brand
Company Name
Datadog
Job Title
Manager I, Engineering - Billing Processing
Job Description
Job Title: Manager I, Engineering - Billing Processing Role Summary: Lead and manage a team of engineers to design and maintain scalable data processing pipelines for billing and revenue systems, ensuring accurate financial calculations and operational efficiency. Focus on optimizing revenue capture, data integrity, and cross-functional collaboration. Expactations: - Proven people management or technical leadership experience with demonstrated mentorship capabilities. - Strong technical expertise in data pipeline design, financial modeling, and big data technologies. - Effective communication and partnership skills to align teams across time zones and functions. Key Responsibilities: - Oversee engineering team performance, professional development, and project delivery. - Develop financial models to enhance billing transparency and revenue optimization. - Own and prioritize the team’s roadmap for billing infrastructure alignment with corporate goals. - Architect and implement robust data pipelines using Spark, Luigi, and Airflow. - Collaborate with Product, Engineering, and Finance leaders to evolve billing platforms. - Ensure data accuracy, compliance, and system scalability for critical revenue workflows. Required Skills: - Mastery in Python, Scala, Spark, Luigi, and Airflow. - Experience in building production-grade data pipelines for mission-critical applications. - Strong analytics skills for identifying operational inefficiencies and financial data challenges. - Familiarity with billing systems, FinOps, and revenue calculation frameworks. - Cross-functional project management and stakeholder coordination. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or a related field. - No specific certifications required (technical acumen and proven results prioritized).
Paris, France
On site
14-09-2025
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