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Runpod

Rents cloud GPUs for building AI applications

Senior Full Stack Security Engineer - Application & Product

Security Engineering & ArchitecturePosted on Nov 12
Full-timeRemote in USA$152k - $220k

About the Job

Requirements

  • At least 5 years of experience in application security, product security, or software engineering with a strong security focus.
  • Strong programming and code-review skills in Python, Go, JavaScript/TypeScript, or similar modern stacks.
  • Deep understanding of web application vulnerabilities, including the OWASP Top 10; API security, including REST and GraphQL; and modern authentication flows, including OAuth, OIDC, and JWT.
  • Hands-on experience with offensive web security testing tools such as Burp Suite or ZAP.
  • Experience building and maintaining automated security pipelines using DevSecOps practices.
  • Ability to translate complex security risks into actionable engineering tasks.

Responsibilities

  • Lead threat modeling, architecture reviews, and code reviews for web applications, APIs, and microservices.
  • Develop and commit code to remediate security flaws in Python, Go, or JavaScript/TypeScript codebases alongside the engineering team.
  • Implement, tune, and manage security testing tools, including SAST, DAST, and SCA, within CI/CD pipelines to detect vulnerabilities early in the software development lifecycle.
  • Configure and manage application-layer security controls, including Web Application Firewalls, bot protection, and API gateways.
  • Provide security guidance, secure coding training, and standard operating procedures to development teams.
  • Collaborate with operations to ensure product-level adherence to relevant frameworks, including SOC 2, ISO 27001, and GDPR, and participate in bug bounty triage.

Desired Qualifications

  • Relevant application security certifications, such as OSWE, GWAPT, or CISSP.
  • Experience securing cloud-native applications running in Kubernetes or Docker environments.
  • Background managing bug bounty programs or coordinated vulnerability disclosures.

About the Company

Runpod

Rents cloud GPUs for building AI applications

Runpod rents cloud computing power to developers and businesses building AI applications, with GPUs for model training, fine-tuning, and running models for users. Its Pods give teams a dedicated environment to run their own containers, while Serverless turns code into endpoints that adjust capacity to incoming requests. Clusters link multiple GPUs for larger training jobs, and the platform includes tools to deploy and monitor workloads through a web console or software interfaces. Customers pay for metered compute time and storage, with options for reserved resources and enterprise support. Runpod was founded in 2022 and is headquartered in San Francisco, California.

Company size
51-200
Company stage
Growth Equity (Venture Capital)
Total funding
$122.3M
Headquarters
San Francisco, CA
Founded
2022

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