Senior Security Response Engineer - Uber Technologies, Inc. San Francisco, CA, United States Bookmark Share Print 652 4 13

Listing Description

Uber's Security team works to ensure the security of all private, personal and payment information for our full set of users - riders, drivers and partners. Our ultimate goal is to ensure that every single experience with Uber is simple, secure, and safe.

WHO YOU ARE:

We are looking for a Sr Security Response Engineer who is passionate about building detection and response platforms and tools.

WHAT YOU'LL BE DOING:

Uber gathers a large volume of telemetry from all of our production network and systems. We’re looking for someone to help us build the future of intrusion detection, deriving strong signal from this data to aid our detection and response efforts.

In this role, your work will be critical to our detection of and rapid response to ever evolving threats against our rapidly expanding production infrastructure, enterprise systems, and cloud services.

PERKS

Employees are given Uber credits every month.

The rare opportunity to change the world such that everyone around you is using the product you built. We’re not just another social web app, we’re moving real people and assets and reinventing transportation and logistics globally.

Sharp, motivated co-workers in a fun office environment.

BENEFITS (U.S.)

401(k) plan, gym reimbursement, eight paid company holidays.

Full medical/dental/vision package to fit your needs.

Unlimited vacation policy; work hard and take time when you need it. Provide subject matter in the detection of threat activity throughout an attack cycle

Aggregate and manipulate of large volumes of data from various sources

Build high quality detection and analysis pipelines at scale

Create high signal detection alerts which are enriched with intelligence and historical data in order to drive the time of response down

Demonstrate excellent communication skills to collaborate with our internal security teams to ensure the growth of our detection capability across information security, fraud and abuse

Possess a strong analytical mindset and a desire to solve large, challenging and complex problems

Experience in development of detection and analysis pipelines

Demonstrated understanding of the Incident Response Cycle

Solid understanding of networking protocols and operating system internals (Linux, OS X and Windows)

Experience with large scale analytics tools (ELK, Splunk, and AWS Analytics Stack)

Programming skills (Python, Go, C, Java, Bash, PowerShell)