Senior Security Engineer
LiteLLM · Remote ·
- Work mode
- Remote
- Seniority
- Senior
- Category
- Security
- Visa sponsorship
- No
- Company size
- 51-200
LiteLLM · Remote ·
Build and run LiteLLM’s security program by auditing Python code, hardening APIs and cloud infrastructure, and embedding security into CI/CD and incident response for an AI gateway used by Adobe, Netflix, and NASA.
LiteLLM is the world’s most popular AI Gateway, trusted by companies like Adobe, Netflix, and NASA. Our platform gives developers secure, reliable access to LLMs and adjacent services. We’re looking for our first Security Engineer to help secure LiteLLM’s application, infrastructure, and software-delivery pipeline.
This is a hands-on security generalist role with a strong emphasis on application security. You’ll spend most of your time reviewing and hardening LiteLLM’s Python codebase, identifying new attack surfaces, working directly with engineers to fix vulnerabilities, and making secure development practices part of how we build.
You’ll also own security work across IT, CI/CD, cloud infrastructure, and the software supply chain. The ideal candidate has built application/product/infrastructure security programs from scratch and genuinely enjoys security outside of work—through CTFs, vulnerability research, open-source projects, or independent experimentation.
Conduct deep security reviews of LiteLLM’s Python proxy, APIs, authentication systems, and enterprise features.
Identify and remediate vulnerabilities involving authentication, authorization, secrets, tenant isolation, injection, and data exposure.
Partner directly with engineers throughout design, implementation, code review, and release—not only after code is shipped.
Build application-security tooling into the development lifecycle, including SAST, DAST, dependency scanning, and secrets detection.
Perform internal red teaming and adversarial testing against LiteLLM’s APIs, proxy, and LLM-specific attack surfaces.
Threat-model new products and architecture changes before they reach production.
Create secure coding guidelines and train engineers on common vulnerabilities and defensive practices.
Harden LiteLLM’s Docker images, PyPI packages, GitHub Actions workflows, and release infrastructure.
Detect dependency confusion, poisoned packages, compromised dependencies, exposed secrets, and unsafe build practices.
Implement SBOMs, signed builds, provenance checks, and reproducible-build practices.
Design secure-by-default configurations for cloud and self-hosted deployments, including authentication, IAM, secrets management, and key rotation.
Review cloud infrastructure, network boundaries, access controls, and production deployment patterns.
Strengthen employee identity, device, SaaS, and internal access controls.
Build monitoring and anomaly detection for suspicious API, model, authentication, and routing activity.
Lead security incident response, vulnerability assessment, remediation, post-mortems, and stakeholder communication.
Establish formal vulnerability intake, CVE triage, disclosure, and remediation processes.
Maintain threat models as LiteLLM’s product and architecture evolve.
A strong security generalist who can work across application security, IT, CI/CD, cloud infrastructure, and the software supply chain.
Deep application-security expertise, including manually auditing production Python code and working with engineers to remediate vulnerabilities.
Strong understanding of authentication, authorization, tenant isolation, SSRF, injection, deserialization, secrets management, and common web and API vulnerabilities.
Experience using and configuring tools such as Semgrep, Bandit, CodeQL, Burp Suite, and other SAST or DAST tooling.
Previous experience at an early-stage security startup during its 0→1 journey.
Experience securing containers, GitHub Actions, build pipelines, packages, and software dependencies.
Familiarity with SBOMs, Sigstore, Cosign, Snyk, Grype, Trivy, or equivalent tooling.
Strong knowledge of OAuth2, JWT, mTLS, IAM, and high-throughput API authentication.
Familiarity with prompt injection, LLM data exfiltration, tool abuse, and the OWASP Top 10 for LLM Applications.
Experience with incident response, CVSS scoring, vulnerability management, CVE triage, and coordinated disclosure.
Experience competing in CTFs during college or independently pursuing vulnerability research, reverse engineering, bug bounties, or security projects.
A genuine interest in security outside your day job—you regularly explore new attack techniques, build security projects, or contribute to the security community.
Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.
Work on application-security problems at the intersection of AI, APIs, and developer infrastructure.
Secure an open-source product used by enterprises around the world.
Work directly with engineers and influence how security is incorporated into product development.
Take broad technical ownership in a fast-moving environment.
Competitive salary and health, dental, and vision benefits.
LiteLLM is a Python SDK and Proxy Server that enables seamless access to more than 100 LLM APIs through the OpenAI format.
Ready to secure the infrastructure powering enterprise AI? Apply now.