Infrastructure/Cloud Security Engineer

San Francisco, California

Weights & Biases

WandB is a central dashboard to keep track of your hyperparameters, system metrics, and predictions so you can compare models live, and share your findings.

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At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $200 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 Co-Founder & CISO, the Infrastructure / Cloud Security Engineer will own the process of managing the security of our evolving systems across AWS, GCP, and Azure.
The Infrastructure / Cloud Security Engineer will partner closely with our Infrastructure and Security teams to ensure our systems are designed securely and scalability.

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

  • Experience writing and deploying infrastructure using infrastructure-as-code, preferably Terraform
  • Experience working in a multi-cloud environment (we use GCP, AWS, and Azure)
  • Experience with IAM fundamentals
  • Experience with secrets management
  • Experience with containerized environments, preferably Kubernetes

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."

  • 🏝️ Unlimited vacation time
  • 🩺 100% 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
  • 📈 401(k)
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 careers@wandb.com.
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* Salary range is an estimate based on our InfoSec / Cybersecurity Salary Index 💰

Tags: AWS Azure C Cloud Compliance GCP IAM Kubernetes Machine Learning Privacy Terraform

Perks/benefits: Competitive pay Equity Gear Health care Medical leave Parental leave Unlimited paid time off

Regions: Remote/Anywhere North America
Country: United States
Job stats:  17  1  0

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