Staff Software Engineer, Platform Security

$200k - $400k • Remote • San Francisco • FullTime

Posted 16h ago

Job Location

San Francisco

Tech Stack

Remote Work Policy

Fully remote

Employment Type

FullTime

Categories

AI Infrastructure Engineer

About the job

Decagon is seeking a founding Platform Engineer, Security to design, build, and operate the security infrastructure for its conversational AI platform. This is a hands-on builder role focused on creating robust systems, including paved paths for secure service creation, automated security tooling, and infrastructure-as-code. The engineer will have a significant impact on the direction of the security infrastructure program and will help invest in automation, observability, and self-service. This role is critical for securing sensitive customer data and enabling the company to serve security-conscious enterprises, directly impacting high-value business deals.

Responsibilities

  • Design and implement secure, multi-tenant infrastructure for isolating customer data and enabling AI model serving.
  • Build "golden paths" for security, including service templates, libraries, Terraform policies, and automation.
  • Own infrastructure-as-code (Terraform) and GitOps best practices, including reusable modules and policy-as-code.
  • Expand and operate platforms for alerting, detection, secrets management, IAM, and automated remediation.
  • Partner with engineering teams to translate enterprise and compliance requirements into automated technical controls.
  • Participate in security on-call rotations and improve operability, runbooks, and incident learnings.

Requirements

  • 8+ years of experience building and operating production infrastructure, with a focus on security.
  • Deep knowledge of Google Cloud Platform and/or AWS, including compute, networking, IAM, and security services.
  • Proficiency with infrastructure-as-code tools like Terraform or Ansible.
  • Strong coding ability in at least one systems language (e.g., Python, Go, TypeScript).
  • Experience building developer-facing tooling and automation.
  • Experience applying AI-assisted tooling to improve engineer effectiveness.
  • Experience with secure container deployment, service mesh, and Kubernetes security best practices.
  • Experience with observability and incident-response tooling.
  • Clear written communication skills and ability to translate ambiguous requirements into simple designs.

Benefits

  • Medical, Dental, and Vision benefits for you and your family
  • Life Insurance and Disability Benefits
  • Retirement Plan (e.g., 401K, pension)
  • Parental Leave
  • Fertility and family building
  • Equity

About decagon

Get new AI jobs in your inbox

A weekly digest of the newest AI engineering roles.

© 2026 AI Job Board. All rights reserved.