Senior Security Engineer, Product & Platform

present of AI; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

LiteLLM in San Francisco is seeking a Senior Security Engineer to protect our product and platform. You will review Python code for security, harden cloud infrastructure, and secure the build and release pipeline.

The role demands independent risk judgment, collaboration with engineering teams across time zones, and the ability to turn findings into durable fixes as we scale our open-source gateway.

Qualifications

• Experience reviewing Python code for security.
• Proven ability to harden cloud infrastructure.
• Experience securing build and release pipelines.
• Ability to translate findings into fixes across time zones.

Responsibilities

• Review Python code for security vulnerabilities.
• Harden AWS infrastructure and IAM controls.
• Lock down CI/CD pipelines and release processes.
• Define and implement security guardrails.
• Collaborate with developers to remediate risks.

Skills

Python security

Cloud security

Secrets management

Tools

Terraform

GitHub Actions

Job description

Senior Security Engineer, Product & Platform

Engineering · San Francisco · FullTime · Senior level

This role asks for a hands on security engineer who can review Python code, harden cloud infrastructure and lock down the build and release pipeline. A strong candidate has owned a security program before, works well with engineers, and turns findings into fixes that stick. Independent judgment on risk and clear writing across time zones matter here.

How it fits the AI era

The product sits between developers and many AI model providers, so security work touches credentials, access controls and spend tracking across those connections. AI tools can speed up scanning and triage, but deciding which risks matter and designing guardrails engineers will actually follow stays human. The role shapes how AI systems are built and shipped safely.

How it builds AI experience

Working here means gaining hands on practice securing an open source gateway that brokers calls to many model providers, including secrets handling and release integrity. A candidate can build this by studying how such gateways manage keys and identity, and by practicing pipeline hardening with GitHub Actions and cloud IAM. Prior work securing developer tools or open source projects helps.

Worth showing

• Python code security review
• AWS IAM and secrets
• Terraform infrastructure
• Security guardrails adoption

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About LiteLLM

An open-source gateway that, the company says, lets developers call more than 100 AI model providers through one OpenAI-style interface, with spend tracking and access controls.