[Remote] Staff Security Detection Engineer

Note: The job is a remote job and is open to candidates in USA. Databricks is a leading data and AI company that provides a unified platform for data, analytics, and AI. They are seeking a Staff Security Detection Engineer to play a critical role in safeguarding products and infrastructure against cyber threats by designing and implementing scalable detection solutions using advanced machine learning techniques.ResponsibilitiesDesign and implement advanced detection strategies by deeply understanding and analyzing new or unknown log sources, schemas, and raw dataCollaborate with cross-functional teams, including product and data engineering teams, to build efficient log ingestion pipelines and support large-scale data analyticsEngineer and deploy detection solutions on Databricks using Spark, Python, and other cutting-edge technologies with a strong emphasis on clean code, rigorous testing, and comprehensive documentationDevelop Rule-based and/or ML-based intrusion detection models and integrate them with Databricks' platform, ensuring high accuracy and minimal false positivesPartner with Incident Response teams to perform threat hunting and to provide detailed logging, alerts, and playbooks, empowering proactive threat detection and responseInfluence the development of long-term technology strategies and roadmaps for detection engineering, ensuring alignment with broader business and security goalsRepresent Databricks at security and engineering conferences, presenting novel detection approaches and thought leadership within the security communitySkills10+ years of relevant experience or advanced degree + 7 years of experience, with a focus on security detection engineering6+ years of software engineering experience, with 4+ years specifically in security-related engineering, particularly in detection engineeringExpertise in securing and operating at least one major cloud environment (AWS, Azure, GCP)Strong technical proficiency in key areas such as network security, cloud security, application/log analysis, and endpoint securityProven experience in Python, Git/GitHub, and CI/CD automation (terraform knowledge is a plus)Familiarity with distributed computing environments (e.g., Pyspark), SQL, data analysis tools, and machine learningA strong passion for continuous learning and staying updated on evolving attack techniques and defense strategiesExcellent communication skills, with the ability to collaborate effectively across teams and present complex ideas clearly to stakeholders at all levelsA leadership mindset with the ability to mentor peers, drive strategic initiatives, and influence the organization's security directionBenefitsEligibility for annual performance bonusEquityComprehensive benefits and perks that meet the needs of all of our employeesCompany OverviewDatabricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. It was founded in 2013, and is headquartered in San Francisco, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.databricks.com.Company H1B SponsorshipDatabricks has a track record of offering H1B sponsorships, with 72 in 2026, 385 in 2025, 319 in 2024, 227 in 2023, 222 in 2022, 166 in 2021, 64 in 2020. Please note that this does not guarantee sponsorship for this specific role.