Cloud Security Engineer, Weights & Biases
+ Equity
MLOps platform for developers
Job no longer available
MLOps platform for developers
201-500 employees
Job no longer available
+ Equity
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Our take
Weights & Biases (W&B) builds development tools for machine learning, helping businesses to create and use deep learning models. For deep learning to work, companies must be able to monitor how models are behaving as they are trained. With over 200,000 customers, W&B has differentiated itself from competitors such as IBM Watson Studio and Valohai by focusing exclusively on machine learning practitioners and not on sales aspects of the technology, and by its competitive pricing.
The company has also launched a product to help different parties collaborate on machine learning models. This is geared towards researchers, reducing the need to rerun their training examples. Over time, this will help machine learning technology evolve. What's more, W&B's technology is free for personal and academic use, which has fueled adoption enormously, and it is now being used by research institutions such as UC Berkeley and enterprise companies like Samsung and Salesforce.
Dependence on machine learning is rising as more businesses use it to handle business tasks. Having raised substantial funding, W&B is moving to further develop its product, grow its team and increase its marketing reach.
Steph
Company Specialist at Welcome to the Jungle
Insights
31% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2023
$50m
LATE VC
Oct 2021
$135m
SERIES C
Total funding: $250m
Company benefits
- 🏝️ Unlimited vacation time
- 🩺 100% Medical, Dental, and Vision for employees and Family Coverage
- 🏠 Remote first culture with in-office flexibility in San Francisco
- 💵 $500 home office budget with new high-powered laptop
- 🥇 Truly competitive salary and equity
- 🚼 12 weeks of Parental leave
- 📈 401(k)
Company HQ
Mission District, San Francisco, CA
Leadership
Chris Van Pelt
(Co-Founder & CISO)Earned a BA in Computer Science at Hope College. Previously Lead Engineer and Founder of Figure Eight (acquired by Appen).
Shawn Lewis
(Co-Founder & CTO)Earned his BS in Computer Engineering at Virginia Tech. Previously Engineer at Google and Founder at Beep Networks.
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