Description
As a Staff Security Detection Engineer at Databricks, you will play a critical role in safeguarding our products, cloud infrastructure, endpoints, and employees from modern cyber threats. Our team combines deep expertise in machine learning, log analysis, cybersecurity, and software development to create a robust and scalable detection platform. Embracing the 'Detection-as-Code' model, we build detections on our own Databricks platform, ensuring that our security measures are deeply integrated with our technology stack.
In this role, you will work with cutting-edge machine learning techniques to design and implement scalable intrusion detection solutions at the enterprise level. You'll partner with our product and data engineering teams to optimize log ingestion pipelines, fuse diverse log sources, and develop anomaly-based and ML-driven detection strategies. You will be instrumental in enhancing the organization's threat detection capabilities by utilizing novel data sources, exploring new attack vectors, and refining our detection models.
Key responsibilities include designing and implementing advanced detection strategies, collaborating with cross-functional teams, engineering and deploying detection solutions, developing rule-based and/or ML-based intrusion detection models, partnering with Incident Response teams, influencing technology strategies, and representing Databricks at security and engineering conferences.
We look for candidates with 10+ years of relevant experience or advanced degree + 7 years of experience, with a focus on security detection engineering. The ideal candidate will have expertise in securing and operating at least one major cloud environment, strong technical proficiency in key areas such as network security, cloud security, application/log analysis, and endpoint security, and proven experience in Python, Git/GitHub, and CI/CD automation.