Decagon

Decagon

Senior Software Engineer, Platform Security

San Francisco · Senior · Full-time

Sponsorship not specified$200k-$330kDetected 47 days ago
TypeScriptPythonGoAWSGCPCloud PlatformsKubernetesTerraformAnsibleCI/CDPlatform EngineeringRESTKafkaData EngineeringAgentic AICybersecurityComplianceSupply ChainCommunication

About the role

  • As the first dedicated engineer at this intersection, you'll have outsized impact on how security infrastructure is built here, and you'll shape the technical direction of the infrastructure security program.
  • You'll also help us invest in automation, observability, and self-service so the team operates with confidence.
  • This role offers a clear runway to grow your impact across security, infrastructure, and platform engineering.

Responsibilities

  • Design and implement secure, multi-tenant infrastructure that isolates customer data while enabling efficient AI model serving across our platform
  • Build "golden paths" for security including service templates, libraries, terraform policies, and automation, so new services are secure and production-ready by default
  • Own infrastructure-as-code (Terraform) and GitOps best practices, including reusable modules and policy-as-code
  • 5+ years building and operating production infrastructure, with meaningful exposure to security or a strong interest in moving deeper into security problems
  • Strong coding ability in at least one systems language (eg. Python, Go, TypeScript) and comfort building paved-path tooling teams actually adopt
  • Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.

Requirements

  • Experience with detection and response data pipelines (Kafka/Pulsar, Splunk/Panther/RunReveal, or similar)
  • Knowledge of enterprise compliance requirements (SOC 2, ISO 27001, GDPR) from an infrastructure and platform perspective
  • Deep knowledge of Google Cloud Platform and/or AWS, including compute, networking, IAM, and security services
  • Proficiency with infrastructure-as-code (Terraform, Ansible, or similar) and a track record of building developer-facing tooling and automation
  • Experience with secure container deployment, service mesh, and Kubernetes security best practices

Compensation

  • These benefits are described in more detail in Decagon's policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

Benefits

  • Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
  • 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 benefits through Carrot
  • We proudly offer the following benefits for our full-time employees:
  • These benefits are described in more detail in Decagon's policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

Company info

  • The Security Engineering team at Decagon protects the platform that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email, and SMS.
  • We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with complete trust while defending against sophisticated, AI-enabled threats at massive scale.
  • This role sits at the intersection of Security and Infrastructure.
  • Like the rest of our Infrastructure org, we believe the best security comes from paved paths, strong SLAs, and high-quality systems that other engineers can rely on by default.
  • Our mission is to secure magical support experiences, ensuring that AI agents and human agents can collaborate safely to help users resolve their issues while maintaining the highest standards of security and privacy.
  • A track record of being an early or founding platform/infrastructure/security engineer at another company

This listing is sourced directly from Decagon's careers page and normalized into a canonical job model.