Security Data Analytics Engineer, PMTS

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About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Our Security team supports the unwritten fourth tenet of Slack’s mission: make people’s working lives more secure. We are passionate about protecting our infrastructure, operations, and most importantly, our customers’ data! We take a thoughtful approach to security, and strive to deliver low friction high-impact features to protect our customers. 

As Slack’s data, customers, and features grow, protecting customers’ data becomes an even more significant challenge. As a member of the Slack Security Customer Protection team, you would be primarily focussed on detecting entities who intend/attempt to use Slack for malicious purposes. You will develop and use tools to tease out high-fidelity signals from the noise, while collaborating with your peers to respond to and eradicate unwelcome behaviors(such as fraud, abuse, spam etc.) on the platform. You would play a key role in analyzing large data sets and identifying potential outliers from a Slack workspace security perspective.

What you will be doing

• You will understand the current data pipelines and datasets, and come up with innovative solutions to analyze them and identify unique outliers and patterns

• Participate in efforts to organize and query the datasets to support various detection engineering projects in flight

• Envision and develop innovative signals and roll them out across customer workspaces

• Build and scale data systems that power batch and real-time data processing of hundreds of billions of records daily

• Collaborate with key multi-functional teams (Data and Backend engineering teams, Core platform and product teams etc.) to contribute towards security specific in-product feature development efforts.

Requirements

• Experience in data technologies that power analytics (e.g. Airflow, Hive, Spark, Presto, Kafka, Pinot, MySQL or similar technologies).

• Deep understanding of data processing (relational, key/value, document, columnar, graph).

• Expertise in high-level programming languages (Python, Go, Java, Scala, Rust or other modern languages)

• Experience working in a security function or understanding of and curiosity about learning more about security engineering 

• Skilled at crafting and building robust backend data services (distributed systems, concurrency models, microservices) that distill practical insights out of large amounts of data.

• Ability to clearly articulate sophisticated technical concepts to designers, support, and other specialists

• An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) is a plus.

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