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Salary: USD 244,000 - 305,000 / annual
Datadog is seeking a Staff Software Engineer to lead the design and evolution of its anomaly detection platform. You will architect large-scale distributed systems that process streaming and batch data to automatically identify issues in customer environments, working alongside machine learning systems to surface meaningful insights without manual configuration.
Key responsibilities include:
- Leading architecture and evolution of distributed systems powering automated anomaly detection across Datadog's platform
- Designing and improving high-throughput streaming and batch processing pipelines for timely, reliable issue detection
- Driving technical initiatives to simplify, consolidate, and modernize existing systems for improved scalability and operational efficiency
- Partnering with engineering leaders, product managers, and data scientists to define long-term technical strategy for anomaly detection and alerting integration
- Shaping how anomaly detection capabilities are delivered across Datadog products
- Providing technical leadership across engineering teams, influencing architectural decisions and aligning solutions with product and platform goals
You will work in a hybrid environment that values office culture and collaboration while supporting work-life harmony.
Requirements:
- 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 solutions
- Comfort working across technologies and learning new systems
- Product-oriented mindset connecting technical decisions to customer outcomes
Preferred qualifications: Experience with Flink, Kafka, Cassandra, Go, or Python; familiarity with machine learning systems or deploying models in production.
