Staff Cloud Security Engineer

Aurora Overview

Bringing self-driving vehicles to our roads is the most transformative opportunity of our generation. Aurora is taking a fresh start with the development of self-driving technology, combining excellence in AI, rigorous engineering, and a team with decades of experience building robots that work.

Led by a team of seasoned experts, our mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. We are designing the software and hardware to power the transportation of our future that will make our roads safer, give more people access to mobility, and reduce congestion and pollution in cities - improving the quality of life for all. The challenge in what we are endeavoring to achieve is transcendent; we are developing perhaps the world's most complex computing system and asking it to perform the task of transporting and keeping safe our most precious asset: human life.

Aurora hires people who are excited to build the future of transportation.

Role

** Note -  We are flexible on level and location.  Locations can be Mountain View, SF, Seattle or Pittsburgh. **

Aurora’s Cloud Security team’s mission is to design and build security capabilities for Aurora Services. Aurora makes extensive use of public cloud infrastructure (AWS), Kubernetes and infrastructure-as-code technologies. This role is focused on designing and implementing security infrastructure into AWS to create a mature cloud infrastructure. In this role, you will partner with our Infrastructure team, and in some cases with development teams that own individual services. Your focus will be security, but you will need to understand the above areas well to be effective in the role. 

Job level is negotiable based on experience. Remote work is approved for US-based employees, including for post-pandemic.

In this role, you will

• Design and build a security infrastructure on AWS
• Design and build CSPM and Cloud Security Prevention systems to prevent exposure
• Secure AWS cloud environment in the areas of but not limited to:
• Create automation to solve security problems at the root
• Mentor other security engineers in the team

Required Qualifications

• 5+ years experience in working in security and public cloud infrastructure
• Experience with IAM, OAuth2
• Experience with AWS (VPC, SCP, Security Groups) or equivalent cloud security experience
• Mastery of at least one programming language: Python or Go
• Fundamental understanding of network security, OS security, AWS security best practices

Desirable Qualifications (this section is optional)

• Experience with infrastructure-as-code and writing and reviewing Terraform
• Experience with microservices and containerization
• Experience with Kubernetes and related eco-system
• Understanding of Devops/Devsecops concepts and CI/CD tooling/pipelines

Working at Aurora

Our work has a real purpose. Delivering the benefits of self-driving will save lives around the world, expand access to transportation, revitalize cities, and give people time back every day.

We’re one team. We’re inspired by the challenge of what we’re solving and the impact our work will have on society. Our camaraderie is built on respect for our work and the fundamental belief our success will be a result of working together.

The Founding Team

Aurora has assembled the most experienced leadership team in the space. Chris Urmson helped lead Carnegie Mellon’s efforts in Darpa’s Grand Challenges, then was a founding member of Google’s self-driving team. Sterling Anderson worked on the tech at MIT before leading Tesla’s Autopilot system. Drew Bagnell, also a Carnegie Mellon alum, is a machine learning expert who helped build Uber’s autonomy effort. At Aurora, these three continue to bring experts from all areas of the industry to the team. We are funded by Amazon, T Rowe Price, and some of Silicon Valley’s best venture capital firms, including Sequoia, Greylock and Index Ventures.

The base salary range for this position is 220k-352k per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

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| #Mid-Senior |