Staff Software Engineer - Watchdog Anomaly Detection
About The Position
Datadog is seeking a Staff Software Engineer to help shape its anomaly detection platform. The team builds and operates high-scale distributed systems that process streaming and batch data and work alongside machine learning systems to automatically identify potential issues in customer environments. As these capabilities expand across Datadog products, the role will help define technical direction, evolve architecture, and build systems that surface meaningful insights to customers without requiring manual configuration. The position involves solving complex engineering challenges at scale and influencing a platform that powers critical customer experiences. The role leads the architecture and evolution of distributed systems for automated anomaly detection, improves high-throughput streaming and batch pipelines, and drives initiatives to modernize existing systems. It also contributes to the long-term technical strategy for anomaly detection and its integration with alerting, shaping how capabilities are delivered across Datadog products. The engineer provides technical leadership across teams and aligns architectural decisions with broader product and platform goals. Datadog describes its workplace as hybrid, with office culture intended to foster collaboration, relationships, and creativity. The company offers a competitive salary and equity package, potentially including variable compensation. Compensation depends on skills, qualifications, and experience. The stated salary range is $244,000–$305,000 USD per year.
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 involved in processing large volumes of data with low latency.
- Experience leading complex architectural initiatives, making technical tradeoffs, and improving the reliability and maintainability of production systems.
- Ability to drive technical strategy beyond the immediate team and collaborate with engineering leaders and product partners to translate customer needs into scalable platform solutions.
- Comfort working across technologies and learning new systems.
Nice To Haves
- Experience with technologies such as Flink, Kafka, Cassandra, Go, or Python.
- Familiarity with machine learning systems or deploying models in production.
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 for 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 manual configuration.
- Provide technical leadership across engineering teams, influencing architectural decisions and aligning solutions with broader product and platform goals.
Benefits
- Competitive salary and equity package, potentially including variable compensation.
- Healthcare benefits.
- Dental benefits.
- Parental planning benefits.
- Mental health benefits.
- 401(k) plan and match.
- Paid time off.
- Fitness reimbursements.
- Discounted employee stock purchase plan.
- Opportunities to grow as a technical leader and influence 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.
- Collaborative engineering environment that encourages knowledge sharing, continuous learning, and professional development.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
