Senior Security Engineer, Infrastructure
San Francisco
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Full Time Senior-level / Expert USD 200K - 350K
Decagon
Reimagine your customer experience with AI agents, built for the enterprise.About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.
Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.
About the Team
The Platform Engineering team at Decagon designs the proprietary orchestration layer that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. Decagon’s leading customer support agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.
Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.
About the Role
Design and implement the secure infrastructure that powers Decagon AI's customer experience platform. You'll build the foundational systems that support our AI agents' security framework while ensuring enterprise-grade reliability and scalability. This role focuses on GCP architecture improvements and building security infrastructure that enables our software-first approach to protecting conversational AI. Decagon’s team is some of the best in the industry, so you’ll work alongside a skilled and enthusiastic team.
In this role, you will
Design and implement secure, multi-tenant infrastructure that isolates customer data while enabling efficient AI model serving
Build Infrastructure as Code systems for deploying and managing security tools across development and production environments
Ensure our security infrastructure maintains 99.99% uptime to protect customer interactions without service disruption
Optimize security systems to handle millions of concurrent conversations while maintaining sub-100ms response times
Implement systems that support SOC 2, ISO 27001, and other enterprise compliance requirements
Design and maintain backup systems and recovery procedures for security infrastructure
Your background looks something like this
5+ years building production infrastructure with security focus, preferably for SaaS or enterprise software
Deep knowledge of Google Cloud Platform architecture, including compute, networking, security, and managed services
Advanced proficiency with Terraform, Ansible, or similar tools for automated infrastructure management
Experience with secure container deployment, service mesh architecture, and Kubernetes security best practices
Proven experience building infrastructure that handles millions of requests per day with strict latency requirements
Even better
Track record of building infrastructure that supports rapid business growth and customer acquisition
Strong understanding of the operational challenges of securing customer-facing AI systems
A high degree of comfort digging into systems with deep technology stacks using any tool necessary
Benefits:
Medical, dental, and vision benefits
Take what you need vacation policy
Daily lunches, dinners and snacks in the office to keep you at your best
Compensation
$200K – $300K + Offers Equity
Tags: Airtable Ansible Cloud Compliance GCP ISO 27001 Kubernetes Okta SaaS SOC SOC 2 Terraform
Perks/benefits: Career development Equity / stock options Health care Lunch / meals Startup environment
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