Security Engineer, Infrastructure
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.We are seeking a highly skilled Infrastructure Security Engineer to join our team. This role is integral to ensuring the security and integrity of our platform. You will be responsible for securing large cloud environments, orchestrating and securing various compute clusters, and reviewing infrastructure as code. Your expertise in cloud security, infrastructure automation, and advanced security practices will be essential in maintaining and enhancing our security posture.
You will:
- Secure infrastructure across large cloud hosting providers (e.g., AWS, Azure, GCP).
- Implement and maintain robust security configurations and policies for cloud environments.
- Conduct regular security assessments and audits of infrastructure to identify vulnerabilities and areas for improvement.
- Develop and enforce security best practices for infrastructure automation and orchestration.
- Collaborate with DeveloperExperience, IT, and product teams to integrate security into all stages of the infrastructure lifecycle.
- Review and secure infrastructure as code (e.g., Terraform, CloudFormation).
- Educate and mentor team members on infrastructure security best practices and emerging threats.
Ideally, you’d have:
- Proven experience as a Security Engineer with a focus on product security.
- Proficiency in NodeJS, TypeScript, and Kubernetes.
- Experience with orchestrating and securing GPU clusters.
- Proficiency in infrastructure as code tools such as Terraform and CloudFormation.
- Excellent communication skills, with the ability to clearly explain 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., AWS Certified Security Specialty, Certified Cloud Security Professional) are a plus.
- Experience in a senior or lead 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 $188,000 - $225,600. 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:$188,000—$225,600 USDAbout 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.
Tags: Audits Automation AWS Azure Cloud GCP Generative AI Kubernetes LLMs Node.js OpenAI Product security Security assessment Terraform TypeScript Vulnerabilities
Perks/benefits: Career development Equity / stock options Health care
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