Staff Security Software Engineer leading AI red teaming, adversarial testing, architecture reviews, and security tooling development for Databricks' AI/ML platform (Genie, Model Serving, RAG, agents). Requires 7+ years in offensive/AI security, expertise in 2+ AI security domains, Python proficiency, and cloud security knowledge.
Staff Security Software Engineer leading architecture, standards, and development of AI security tooling, threat detection, and red-teaming platforms at Databricks. Requires 7-10 years security engineering experience, expert Python skills, and deep AI/ML security expertise.
Lead high-visibility security compliance initiatives and certifications (FedRAMP, PCI, HIPAA) as a Senior Staff Security Assurance Engineer, driving cross-functional execution across Security, Engineering, and IT teams.
Secures enterprise applications, integrations, data flows, and AI-adjacent use cases through security design reviews, risk assessment, and defining secure requirements. Partners with IT, Engineering, and stakeholders to enable scalable security practices. Requires 7+ years in security engineering.
Leads security compliance and risk management projects, driving certifications like FedRAMP and PCI in a cloud-native environment. Requires 4+ years in security program management, cross-functional collaboration, and a bachelor's in CS or equivalent.
Principal Engineer leads Authentication strategy at Databricks, crafting secure, scalable systems with 10+ years in data security, 15+ in distributed systems, and MS/PhD required. Mentors teams and drives executive decisions.
Principal Engineer leads Authentication strategy at Databricks, crafting secure, scalable systems with 15+ years in distributed systems and data security expertise. Requires MS/PhD, leadership, and experience in identity management and access control.
Product Security Engineer embeds security in Databricks' SDLC through threat modeling, design reviews, code audits, exploit development, and tool automation. Requires 2-4 years threat modeling experience and proficiency in Python/Java/Scala/JavaScript.
Leads IAM teams to build and operate enterprise identity, authentication, authorization, and governance systems at global scale. Requires 8-12+ years experience in security/identity engineering, deep IAM expertise, cloud architecture (AWS/GCP/Azure), and Zero Trust principles.
Designs and implements scalable ML-driven intrusion detection solutions, optimizes log pipelines, and enhances threat detection on Databricks platform. Requires 10+ years experience in security detection engineering and expertise in cloud security, Python, and Spark.
Builds secure distributed systems to protect customer data in Databricks' data and AI platform. Requires 5+ years in data security, expertise in areas like Kubernetes security and cryptography, plus MS/PhD and leadership skills.
Leads IAM and security engineering to secure Databricks' data platform, plugging infrastructure gaps and building scalable systems. Requires 9+ years in data security, 15+ years in distributed systems, and MS/PhD.
Leads development of IAM and security systems at scale to protect customer data on Databricks platform. Requires 7+ years in data security, 10+ years in distributed systems, and MS/PhD.
Leads security infrastructure engineering at Databricks, plugging gaps in services, building large-scale distributed systems, and defining data security strategy. Requires 9+ years in security, 15+ in distributed systems, MS/PhD, and expertise in areas like Kubernetes security and cryptography.
Leads privacy and security engineering to secure Databricks' data platform, identifies infrastructure gaps, and builds scalable systems. Requires 10+ years in data security, 15+ years in distributed systems, and MS/PhD.
Leads development of secure IAM systems for Databricks' data and AI platform, plugging security gaps and building highly available distributed systems. Requires 7+ years in data security, 10+ years in distributed systems, MS/PhD, and expertise in IAM, Kubernetes, cryptography.
Leads IAM and security engineering to enhance platform trust, plugs infrastructure gaps, and builds large-scale distributed systems. Requires 9+ years in data security, 15+ years in distributed systems, MS/PhD, and expertise in IAM, Kubernetes security, cryptography.
Leads security infrastructure engineering to secure Databricks platform, plugging gaps in services like cryptography, Kubernetes security, and access control. Requires 7+ years in data security, 10+ in distributed systems, and MS/PhD.
Leads security infrastructure engineering at Databricks, enhancing platform security, building scalable systems, and driving strategy. Requires 7+ years in data security, 10+ years in distributed systems, and MS/PhD.
Leads security infrastructure engineering at Databricks, plugging critical gaps in large-scale systems, with 15+ years experience in distributed systems and 9+ in data security areas like Kubernetes security and cryptography. Requires MS/PhD and strong leadership.
Leads privacy and security engineering to secure Databricks' data platform, identifies infrastructure gaps, and drives strategy. Requires 9+ years in data security, 15+ years in distributed systems, and MS/PhD.
Staff Security Software Engineer leading AI red teaming, adversarial testing, architecture reviews, and security tooling development for Databricks' AI/ML platform (Genie, Model Serving, RAG, agents). Requires 7+ years in offensive/AI security, expertise in 2+ AI security domains, Python proficiency, and cloud security knowledge.
Staff Security Software Engineer leading architecture, standards, and development of AI security tooling, threat detection, and red-teaming platforms at Databricks. Requires 7-10 years security engineering experience, expert Python skills, and deep AI/ML security expertise.
Lead high-visibility security compliance initiatives and certifications (FedRAMP, PCI, HIPAA) as a Senior Staff Security Assurance Engineer, driving cross-functional execution across Security, Engineering, and IT teams.
Secures enterprise applications, integrations, data flows, and AI-adjacent use cases through security design reviews, risk assessment, and defining secure requirements. Partners with IT, Engineering, and stakeholders to enable scalable security practices. Requires 7+ years in security engineering.
Leads security compliance and risk management projects, driving certifications like FedRAMP and PCI in a cloud-native environment. Requires 4+ years in security program management, cross-functional collaboration, and a bachelor's in CS or equivalent.
Principal Engineer leads Authentication strategy at Databricks, crafting secure, scalable systems with 10+ years in data security, 15+ in distributed systems, and MS/PhD required. Mentors teams and drives executive decisions.
Principal Engineer leads Authentication strategy at Databricks, crafting secure, scalable systems with 15+ years in distributed systems and data security expertise. Requires MS/PhD, leadership, and experience in identity management and access control.
Product Security Engineer embeds security in Databricks' SDLC through threat modeling, design reviews, code audits, exploit development, and tool automation. Requires 2-4 years threat modeling experience and proficiency in Python/Java/Scala/JavaScript.
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Leads IAM teams to build and operate enterprise identity, authentication, authorization, and governance systems at global scale. Requires 8-12+ years experience in security/identity engineering, deep IAM expertise, cloud architecture (AWS/GCP/Azure), and Zero Trust principles.
Designs and implements scalable ML-driven intrusion detection solutions, optimizes log pipelines, and enhances threat detection on Databricks platform. Requires 10+ years experience in security detection engineering and expertise in cloud security, Python, and Spark.
Builds secure distributed systems to protect customer data in Databricks' data and AI platform. Requires 5+ years in data security, expertise in areas like Kubernetes security and cryptography, plus MS/PhD and leadership skills.
Leads IAM and security engineering to secure Databricks' data platform, plugging infrastructure gaps and building scalable systems. Requires 9+ years in data security, 15+ years in distributed systems, and MS/PhD.
Leads development of IAM and security systems at scale to protect customer data on Databricks platform. Requires 7+ years in data security, 10+ years in distributed systems, and MS/PhD.
Leads security infrastructure engineering at Databricks, plugging gaps in services, building large-scale distributed systems, and defining data security strategy. Requires 9+ years in security, 15+ in distributed systems, MS/PhD, and expertise in areas like Kubernetes security and cryptography.
Leads privacy and security engineering to secure Databricks' data platform, identifies infrastructure gaps, and builds scalable systems. Requires 10+ years in data security, 15+ years in distributed systems, and MS/PhD.
Leads development of secure IAM systems for Databricks' data and AI platform, plugging security gaps and building highly available distributed systems. Requires 7+ years in data security, 10+ years in distributed systems, MS/PhD, and expertise in IAM, Kubernetes, cryptography.
Leads IAM and security engineering to enhance platform trust, plugs infrastructure gaps, and builds large-scale distributed systems. Requires 9+ years in data security, 15+ years in distributed systems, MS/PhD, and expertise in IAM, Kubernetes security, cryptography.
Leads security infrastructure engineering to secure Databricks platform, plugging gaps in services like cryptography, Kubernetes security, and access control. Requires 7+ years in data security, 10+ in distributed systems, and MS/PhD.
Leads security infrastructure engineering at Databricks, enhancing platform security, building scalable systems, and driving strategy. Requires 7+ years in data security, 10+ years in distributed systems, and MS/PhD.
Leads security infrastructure engineering at Databricks, plugging critical gaps in large-scale systems, with 15+ years experience in distributed systems and 9+ in data security areas like Kubernetes security and cryptography. Requires MS/PhD and strong leadership.
Leads privacy and security engineering to secure Databricks' data platform, identifies infrastructure gaps, and drives strategy. Requires 9+ years in data security, 15+ years in distributed systems, and MS/PhD.