Software Engineer, Vulnerability Management

Vollzeit
Mexico City, CDMX, Mexico
vor 6 Monate

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Lyft connects people to transportation to change the way we live and get around our communities. Lyft’s engineering team is growing rapidly, and we are looking for Software Engineers with a passion in Security to help us scale. Come be part of the Security team at Lyft focused on enabling and empowering engineering teams to deliver secure services at scale.

Our drivers and passengers entrust Lyft with their personal information and travel details to get where they're going and expect us to keep that data safe. Lyft's security team leads efforts across the company to ensure our systems are secure and worthy of our users' trust.

The security team designs and builds Lyft's security architecture, consults with other teams as they build and launch new products and features, proactively plans for the unexpected, and responds to incidents that occur. Our work affects the entire company and takes place at all levels of the stack, from infrastructure to web application security, as well as mobile apps, IT, and autonomous vehicles. We try to approach security from a software engineering standpoint. We believe in scaling security through automation and tooling and we ship frequently. Check out our blog posts at https://eng.lyft.com/tagged/security to learn more about some of the things we’ve built.

We're looking for an engineer who's excited about growing and improving security at Lyft by building systems and promoting security throughout the company. You'll play a part in shaping the future of security at Lyft, and your work will have significant impact and visibility.

Responsibilities:
  • Architect and build services that improve the security of our systems with an eye towards scalability and avoiding unnecessary friction.
  • Evangelize our shared security responsibility model by collaborating with other teams at Lyft to ensure that our services and workflows are secure by default.
  • Lead the effort to identify, assess, and prioritize vulnerabilities within the Lyft infrastructure.
  • Be customer focused and proactively identify opportunities to improve user experience and vulnerability remediation workflows. 
  • Share knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices.
  • Collaborate cross-functionally to establish high levels of automated testing and evidence collection as well as contribute to the development of tools and automation.
  • Contribute to the development of controls and continuous testing, and design remediation and risk mitigation solutions.
  • Develop and advance security tools, scanners, and automation pipelines to streamline the vulnerability management process. 
Experience:
  • 5+ years of software engineering experience with a high level programming language (bonus points for experience with Python, Go-lang and shell scripts)
  • 3+ years of experience with computer security (or a deep interest in)
  • When facing a problem that's poorly defined or outside of your expertise, you can quickly learn what you need to dig in, make sense of the problem, and start working towards a solution
  • You're a great communicator, and can advocate for your proposals while also empathizing with your teammates' goals and priorities
  • You understand that security work must be prioritized because all teams have finite resources. You have good judgment and a sense of when to compromise and when to hold your ground
  • Understanding of computer network security or major computer networking protocols (e.g. TCP/IP, HTTP, TLS, DNS).
  • Nice to haves: 
    • Experience with Amazon Web Services (AWS) or any other major cloud service provider
    • Kubernetes and container security and running fleets of endpoints or servers in the cloud.  
    • Running multi-tier or distributed web applications at scale