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Cloud Security Engineer

San Francisco, CA, United States

At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.

Reporting to the CISO, the Cloud Security Engineer will own the process of managing the security of our evolving systems across AWS, GCP and Azure.

The Cloud Security Engineer will partner closely with our Infrastructure and Security teams to ensure our systems are designed with security and scalability throughout their lifecycle. What you’ll achieve Create secure defaults for engineers to deploy secure systems in our cloud environments

Introduce proactive cloud security and privacy controls with a defense-in-depth mindset

Maintain existing compliance controls and enable Weights & Biases to achieve new certifications

Review changes to terraform made by the engineering teams with an eye for security.

Streamline secrets and credential management

Just-in-time access to cloud resources

Remediating cloud misconfigurations and ensuring they don't happen again

Implementing DLP controls in the cloud

What we’re looking for 3+ years of experience writing and deploying infrastructure using infrastructure-as-code, including Terraform

2+ years of experience working in a multi-cloud environment (we use GCP, AWS, Azure)

1+ year of experience with IAM (Identity and Access Management) fundamentals

1+ year experience with secrets management

1+ year of experience with containerized environments, including Kubernetes

Core Skills and Attributes Outgoing and friendly: You'll love this role if you enjoy connecting with real users day to day, helping them solve issues and understand good patterns for using our tools. Day to day you'll be answering questions and requests with a kind, thoughtful tone that makes users feel appreciated and connected to our team.

Autonomous : If you work well in a self-directed environment, and proactively find ways to improve processes and collaborate with team members or engaged users, your initiative will really shine in this role.

Curious and driven : Explore machine learning and learn more about the engineering stack and common ML workflows. Solve problems in both fast-paced, short term sprints and in larger, more long-term projects.

Organized : A core part of engineering support at Weights & Biases is organizing feedback from many channels into a single, orderly stream. Your organization skills and time management will be key to running this process well.

Why join us? Top-tier machine learning teams rely on our tools for their daily work at companies including OpenAI, Toyota Research Institute, Lyft, Samsung, and Pandora.

You'll never stop learning. This role gives you first-hand experience talking with leading researchers in the field, understanding their problems, and directly shaping the product direction.

Our experienced founding team has successfully built and sold ML tools in the past at Figure Eight, and their deep knowledge of our industry, empathy for our users, and skillful management is driving W&B to success.

Customers genuinely benefit from our tool. Here's a quote from Wojciech Zaremba, Cofounder and Robotics Lead, OpenAI: "W&B allows to scale up insights from a single researcher to the entire team, and from a single machine to hundreds of them."

Benefits ️ Flexible time off

Medical, Dental, and Vision for employees and Family Coverage

Remote first culture with in-office flexibility in San Francisco

Home office budget with a new high-powered laptop

Truly competitive salary and equity

12 weeks of Parental leave (U.S. specific)

401(k) (U.S. specific)

Supplemental benefits may be available depending on your location

Explore benefits by country

We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at [email protected].

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Cloud Security Engineer jobs in San Francisco, CA, United States

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