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Staff Software Engineer - Watchdog Anomaly Detection

Datadog· Engineering
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Hybrid (New York, NY)$244k - $305kFull-timePosted 5d ago

About the role

Staff Software Engineer to shape the future of Datadog’s anomaly detection platform. Lead architecture and evolution of large-scale distributed systems, design high-throughput pipelines, and drive strategic initiatives across products to surface meaningful insights with minimal manual configuration. Hybrid work environment in New York, NY.

Responsibilities

  • Lead the architecture and evolution of large-scale distributed systems that power automated anomaly detection across Datadog's platform.
  • Design and improve high-throughput streaming and batch processing pipelines, enabling timely and reliable detection of potential issues in customer environments.
  • Drive technical initiatives to simplify, consolidate, and modernize existing systems, improving scalability, maintainability, and operational efficiency.
  • Partner with engineering leaders, product managers, and data scientists to define the long-term technical strategy for anomaly detection and its integration with alerting capabilities.
  • Shape how anomaly detection capabilities are delivered across Datadog products, helping customers identify meaningful issues without requiring manual configuration.
  • Provide technical leadership across engineering teams, influencing architectural decisions and aligning solutions with broader product and platform goals.

Qualifications

  • Extensive experience designing, building, and operating large-scale distributed systems, particularly high-throughput or data-intensive backend platforms.
  • Strong understanding of streaming and batch processing architectures, including challenges of processing large data volumes with low latency.
  • Experience leading complex architectural initiatives, making technical tradeoffs, and improving reliability and maintainability of production systems.
  • Ability to drive technical strategy beyond immediate team, collaborating with engineering leaders and product partners to translate customer needs into scalable platform solutions.
  • Comfortable working across technologies; experience with Flink, Kafka, Cassandra, Go, or Python is a plus.
  • Product-oriented mindset; familiarity with machine learning systems or deploying models in production is a plus but not required.

Skills

Required:Distributed systems designStreaming and batch processingTechnical leadership
Nice to have:Familiarity with Flink / Kafka / Cassandra / Go / PythonML systems / production deployment familiarity

Benefits

  • Opportunities to grow as a technical leader while influencing architecture and direction of shared capabilities across Datadog products.
  • Exposure to complex engineering challenges involving large-scale distributed systems, real-time data processing, and machine learning.
  • Collaboration with experienced engineers, product managers, and data scientists across multiple teams.
  • Opportunities to develop expertise in platform architecture, technical strategy, and cross-functional engineering leadership.
  • A collaborative engineering environment that encourages knowledge sharing, continuous learning, and professional development.
Last updated Oct 22, 2026. Interested? Apply on the company site.

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