Senior Full Stack Security Engineer (Application & Product)

We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.

Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers.

As Runpod continues to revolutionize the GPU cloud computing landscape, we are seeking a Full Stack Security Engineer to secure our customer-facing products, APIs, and internal services. This critical position will ensure the security of the software that powers our platform, enabling continued growth while protecting user data, billing systems, and web interfaces.

The ideal candidate possesses strong software development abilities coupled with deep experience in application security, DevSecOps, and modern web architectures. You will embed directly with our engineering teams to ensure our product is secure by design.

Runpod is seeking a proactive AppSec professional who believes in Integrated Security. You won't just toss PDF reports over the fence; you will write code to fix vulnerabilities, build automated security guardrails into our CI/CD pipelines, and foster a security-first culture among our developers.

• Product Security: Lead threat modeling, architecture reviews, and code reviews for our web applications, APIs, and microservices.
• Vulnerability Remediation: Actively develop and commit code to fix security flaws in our Python, Go, or JavaScript/TypeScript codebases alongside the engineering team.
• DevSecOps: Implement, tune, and manage security testing tools (SAST, DAST, SCA) within our CI/CD pipelines to catch vulnerabilities early in the SDLC.
• Edge & Application Defense: Configure and manage application-layer security controls, including Web Application Firewalls (WAF), bot protection, and API gateways.
• Security Championing: Provide security guidance, secure coding training, and standard operating procedures to development teams.
• Compliance & Operations: Collaborate with operations to ensure product-level adherence to relevant frameworks (e.g., SOC 2, ISO 27001, GDPR) and participate in bug bounty triage.

• 5+ years of experience in application security, product security, or as a software engineer with a heavy security focus.
• Strong programming and code-review skills in languages like Python, Go, JavaScript/TypeScript, or similar modern stacks.
• Deep understanding of web application vulnerabilities (OWASP Top 10), API security (REST/GraphQL), and modern authentication flows (OAuth, OIDC, JWT).
• Hands-on experience with offensive web security testing tools (e.g., Burp Suite, ZAP).
• Experience building and maintaining automated security pipelines (DevSecOps).
• Ability to translate complex security risks into actionable engineering tasks.

• Relevant application security certifications (e.g., OSWE, GWAPT, CISSP).
• Experience securing cloud-native applications running on Kubernetes/Docker environments.
• Background in managing bug bounty programs or coordinated vulnerability disclosures.

What You’ll Receive

• The competitive base pay for this position ranges from ($152,000 - $220,000). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location
• Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside.
• Generous medical, dental & vision plans
• Flexible PTO- take the time you need to recharge
• Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication
• Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale.
• $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on.