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Salary: USD 200,000 - 400,000 / annual
Decagon is a conversational AI platform enabling enterprises like Avis, Block, Chime, and Oura Health to deploy AI agents across voice, chat, email, SMS, and other channels. The company is backed by a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures.
You will be Decagon's founding Platform Engineer for Security, designing and building the security infrastructure that powers the AI platform. This is a builder role focused on creating durable, well-engineered systems that make security the default for all engineers.
Key responsibilities:
- Design and implement secure, multi-tenant infrastructure that isolates customer data while enabling efficient AI model serving
- Build "golden paths" for security including service templates, libraries, Terraform policies, and automation so new services are secure by default
- Own infrastructure-as-code (Terraform) and GitOps best practices, including reusable modules and policy-as-code
- Expand and operate platforms for alerting, secrets management, IAM, and automated remediation, integrating them into CI/CD and developer workflows
- Partner with Security, Infrastructure, and product teams to translate enterprise compliance requirements (SOC 2, ISO 27001, GDPR) into reliable, automated technical controls
- Participate in security on-call and continuously improve operability, runbooks, and incident learnings
The role sits at the intersection of security and infrastructure. You'll have outsized impact on how security infrastructure is built at Decagon and will shape the technical direction of the infrastructure security program. The work directly unlocks high-value deals with security-conscious enterprises including major financial-services institutions.
REQUIREMENTS:
- 8+ years building and operating production infrastructure, with meaningful exposure to security or strong interest in moving deeper into security problems
- 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 track record of building developer-facing tooling and automation
- Strong coding ability in at least one systems language (Python, Go, TypeScript) and comfort building paved-path tooling teams actually adopt
- Experience applying AI-assisted tooling (Cursor, Claude Code, similar) to make engineers more effective
- Experience with secure container deployment, service mesh, and Kubernetes security best practices
- Observability and incident-response tooling experience (instrumentation, alerting, dashboards) with bias toward eliminating toil
- Clear written communication and ability to turn ambiguous requirements into simple, reliable designs
PLUS (nice to have):
- Track record as early or founding platform/infrastructure/security engineer at another company
- Experience building internal platforms: service templates, paved-road deployment, self-serve environments, or developer portals
- Security-minded approach to software supply chain (provenance, secrets, least privilege) and familiarity with static analysis tooling (Semgrep, CodeQL)
- Experience with detection and response data pipelines (Kafka/Pulsar, Splunk/Panther/RunReveal, similar)
- Knowledge of enterprise compliance requirements (SOC 2, ISO 27001, GDPR) from infrastructure and platform perspective
About Decagon
AI / Data / Infrastructure; SaaS / Enterprise Software — AI agents for customer support and enterprise operations.
