Staff Security Engineer

San Francisco, CA; New York City

Scale AI

Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.

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We are seeking a highly experienced Staff Security Engineer to assist our overall Security team at Scale. This senior role is crucial for ensuring the comprehensive security of our products, services, and infrastructure. You will leverage your extensive expertise in both application and infrastructure security to conduct in-depth code reviews, secure large cloud environments, orchestrate and secure compute clusters, and review infrastructure as code. Your ability to diagnose complex security issues, influence security strategies, and mentor team members will be pivotal in maintaining and enhancing our security posture.

You will:

  • Conduct in-depth code reviews to identify and remediate security vulnerabilities.
  • Secure infrastructure across large cloud hosting providers (e.g., AWS, Azure, GCP).
  • Implement and maintain robust security configurations and policies for both cloud environments and Kubernetes-backed services.
  • Orchestrate and secure GPU clusters to ensure high performance and security.
  • Implement and maintain CI/CD pipelines with a strong focus on security.
  • Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code.
  • Review and secure infrastructure as code (e.g., Terraform, CloudFormation).
  • Conduct regular security assessments and audits of both application and infrastructure components to identify vulnerabilities and areas for improvement.
  • Develop and enforce security best practices for infrastructure automation and orchestration.
  • Guide engineering teams to build robust long-term solutions that consider security and privacy.
  • Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.
  • Influence the security strategy and direction of both the Product Security and Infrastructure Security teams, advocating for best practices and continuous improvement.
  • Educate and mentor team members on security best practices and emerging threats.

Ideally, you’d have:

  • Proven experience as a Security Engineer with a focus on both product and infrastructure security.
  • Proficiency in NodeJS, TypeScript, and Kubernetes.
  • Strong understanding of modern Javascript application design.
  • Production experience with Kubernetes-backed services.
  • Hands-on experience with SAST and DAST tools and methodologies.
  • Proficiency in cloud security configurations and policies, as well as infrastructure as code tools such as Terraform and CloudFormation.
  • Experience with orchestrating and securing GPU clusters.
  • Exceptional problem-solving skills with the ability to diagnose and resolve complex security issues independently.
  • Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders.
  • Demonstrated ability to influence security strategies and drive improvements within an organization.
  • Relevant security certifications (e.g., CISSP, CEH, OSCP, AWS Certified Security Specialty, Certified Cloud Security Professional) are a plus.
  • Experience in a staff or principal security role is preferred.

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $212,000 - $254,400. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$212,000—$254,400 USD

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

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Tags: Application security Audits Automation AWS Azure CEH CI/CD CISSP Cloud DAST GCP Generative AI JavaScript Kubernetes LLMs Node.js OpenAI OSCP Privacy Product security SAST Security assessment Security strategy Strategy Terraform TypeScript Vulnerabilities

Perks/benefits: Career development Equity / stock options Health care

Region: North America
Country: United States

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