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Staff Security Detection Engineer

DatabricksUnited States
On-site Full-time $151.4K/yr - $273.2K/yr

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Experience Level

Senior

Qualifications

Key Responsibilities:Design and implement sophisticated detection strategies by thoroughly understanding and analyzing new or unknown log sources, schemas, and raw data. Work in collaboration with cross-functional teams, including product and data engineering teams, to create efficient log ingestion pipelines and support extensive data analytics. Engineer and deploy detection solutions on Databricks using Spark, Python, and other leading-edge technologies, with a strong focus on clean code, rigorous testing, and thorough documentation. Develop rule-based and/or ML-based intrusion detection models and integrate them with Databricks' platform to ensure high accuracy and minimal false positives. Partner with Incident Response teams to conduct threat hunting and provide detailed logging, alerts, and playbooks to facilitate proactive threat detection and response. Influence the development of long-term technology strategies and roadmaps for detection engineering, ensuring alignment with broader business and security objectives. Represent Databricks at security and engineering conferences, showcasing innovative detection approaches and thought leadership within the security community.

About the job

Join the innovative Security Detection team at Databricks, where you will be pivotal in protecting our products, cloud infrastructure, endpoints, and personnel from sophisticated cyber threats. Our expert team merges advanced knowledge in machine learning, log analysis, cybersecurity, and software development to develop a powerful and scalable detection platform. By adopting the "Detection-as-Code" model, we create detections directly on our Databricks platform, ensuring our security measures are seamlessly integrated with our technology stack.

In this position, you will leverage state-of-the-art machine learning techniques to design and implement scalable intrusion detection solutions for the enterprise. Collaborating closely with our product and data engineering teams, you will enhance log ingestion pipelines, integrate diverse log sources, and develop anomaly-based and ML-driven detection strategies. Your role will be crucial in improving our organization’s threat detection capabilities by utilizing innovative data sources, examining new attack vectors, and refining our detection models.

About Databricks

At Databricks, we are at the forefront of data innovation, helping organizations leverage their data to drive transformations and achieve their business goals. Our commitment to creating a collaborative environment fosters creativity and empowers our employees to push boundaries in technology and security.

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