Greenhouse ·
full-timeStaff Software Engineer - Watchdog Anomaly Detection
Datadog · New York, New York, USA
Datadog is a monitoring and security platform for cloud applications. As a Staff Software Engineer for the Watchdog Anomaly Detection team, you will be responsible for leading the architecture and technical evolution of high-scale distributed systems. The role involves designing and optimizing high-throughput streaming and batch processing pipelines that allow the platform to automatically identify issues within customer environments. You will drive initiatives to modernize existing infrastructure, ensuring scalability and operational efficiency while collaborating with data scientists and product managers to integrate machine learning capabilities into the core product. This position is well-suited for an experienced engineer with a background in building data-intensive backend platforms. You should be comfortable navigating complex architectural tradeoffs and providing technical leadership across multiple teams. A strong understanding of streaming architectures and the ability to translate technical strategy into customer-focused solutions are essential. While familiarity with technologies like Flink, Kafka, or Go is advantageous, the primary requirement is the ability to solve large-scale engineering challenges and influence the long-term technical direction of a critical platform component in a hybrid work environment.
Education
- Level: Bachelor's degree
Key Skills
Notes
['Hybrid work model', 'Competitive salary & equity']
About the Role Datadog is looking for a Staff Software Engineer to shape the future of its anomaly detection platform, building and operating high‑scale distributed systems that process streaming and batch data. Responsibilities Lead architecture and evolution of large‑scale distributed systems for automated anomaly detection. Design and improve high‑throughput streaming and batch processing pipelines. Drive technical initiatives to simplify, consolidate, and modernize existing systems. Partner with engineering leaders, product managers, and data scientists to define long‑term technical strategy. Provide technical leadership across engineering teams, influencing architectural decisions. Requirements Extensive experience designing, building, and operating large‑scale distributed systems. Strong understanding of streaming and batch processing architectures. Experience leading complex architectural initiatives and improving reliability. Familiarity with technologies such as Flink, Kafka, Cassandra, Go, or Python is a plus. Product‑oriented mindset with ability to connect technical decisions to customer outcomes. Experience with machine learning systems or model deployment is a plus.
Skills for this role
Required skills
Also mentioned in the listing
| Role | Staff Software Engineer - Watchdog Anomaly Detection |
|---|---|
| Company | Datadog |
| Location | New York, New York, USA |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-20 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4About Datadog
Datadog provides a modern monitoring and security platform designed for developers, IT operations teams, and business users operating in the cloud. The company's platform offers a wide range of capabilities, including infrastructure, network, container, and serverless monitoring, as well as application performance monitoring, log management, and cloud security. These tools are utilized by organizations across various industries, such as financial services, healthcare, retail, and technology, to enable digital transformation and drive collaboration across teams. Datadog employs over 8,100 people globally and continues to expand its presence to support customers across diverse markets and regions.
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