Staff Engineer - Data Security
Posted: December 22, 2016
Reference ID: 323639061
Staff Engineer- Data Security LinkedIn is looking for an experienced Data Security Architect to be part of the Security Assurance team in House Security. House Security is responsible for protecting our infrastructure, applications, data and, most importantly, our members.
Responsibilities: You'll be working with architects, developers and site reliability engineers across the entire organization to secure our large scale data infrastructure. Architect and review solutions securing large scale data systems such as Hadoop, Kafka, Espresso and others to protect data at rest and in transit, including data encryption, key management, and access controls. Act as a domain expert and consultant for security of data storage and processing systems, applied cryptography and key management. Conduct detailed security risk assessments on internal and member-facing applications and infrastructure. Define data related best practices, security policies and lead security improvement initiatives. Security Oversight: Set security requirements, oversee compliance to standards and operational practices, sit on review boards for access control. Proactively identify information security risks and develop solutions to mitigate those risks. Evaluate and recommend new and emerging security products and technologies.
Basic Qualifications: -BA/BS Degree in Computer Science or equivalent discipline -10+ years in Information Security with at least 5 years focusing on Data Security -Experience with Data Security Concepts and large scale data systems such as Hadoop -Experience wit cryptography and data security standards such as PCI -DSS
-Experience in system and network security, authentication and security protocols, cryptography, and application security -Experience with programming languages such as Java, Python -Experience with Linux/MacOS/Windows platforms and mobile technologies
Preferred Qualifications: -MS/PhD in Computer Science or equivalent -Experience working in large organizations in architecting data solutions based on Hadoop, Kafka, Espresso or other open source technologies -Strong demonstration in creating and deploying best security practices and methodologies in data security and governance