Datadog

12 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 Name: Datadog
Job Title: Manager, Detection Engineering
Job Description: Job title: Manager, Detection Engineering Role Summary: Lead a team of security engineers to design, build, and continuously improve threat detection integrations for cloud SIEM, Cloud Security, and Workflow products. Drive research on TTPs, operationalize findings into actionable security content, and collaborate with product and customer teams to align roadmap and deliver measurable value. Expactations: • Coach and develop a high‑performance detection engineering team • Own end‑to‑end quality of security integrations and detection content • Deliver metrics that demonstrate product impact to leadership • Engage technical customers to refine solutions at scale • Produce community content (blogs, docs, webinars) and present at events Key Responsibilities: • Build and maintain integrations across logs, audit trails, and telemetry sources • Research cloud attack and defense tactics and translate into detection rules • Prioritize feature backlog in partnership with Product Management • Measure and report on detection efficacy and operational impact • Mentor team members and foster a collaborative, inclusive culture Required Skills: • 5+ years in security engineering or detection engineering, with proven leadership experience • Deep knowledge of cloud security (identity & access management, runtime protection) in at least one major public cloud (AWS, Azure, GCP) • Proficient in analyzing telemetry (audit logs, identity logs, endpoint logs, SaaS logs) to create security signals • Experience evaluating REST APIs for data integration and data engineering practices • Strong quantitative mindset: develop and communicate metrics for security content performance • Excellent communication, stakeholder management, and customer‑facing skills Required Education & Certifications: • Bachelor’s degree in Computer Science, Information Security, or related field (advanced degree preferred) • Relevant security certifications (e.g., CISSP, CISM, CEH, or similar) are a plus.

Paris, France

On site

07-09-2025

Company Name: Datadog
Job Title: Staff Software Engineer - APM Troubleshooting Experience
Job Description

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 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.

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