Decagon
Senior Software Engineer, Cloud Infrastructure
$200K–$400K
San Francisco +1 · Senior · Full-time · Posted Jul 10, 2026
- Location
- San Francisco
New York City - Experience
- 4+ years; customer-facing deployment experience is described as ideal.
About the job
Build and operate core infrastructure and deployment platforms that keep Decagon’s AI agents reliable, secure, and scalable across its cloud and customer-owned environments.
What you'll do
- Design development and production platforms and cloud, Kubernetes, and networking abstractions that scale with usage.
- Own enterprise deployment architecture and lifecycle in customer clouds, including setup, upgrades, scaling, incident support, runbooks, and automation.
- Operate agent workloads reliably through monitoring, alerting, rollback, and cross-functional coordination on customer deployment plans.
What they ask for
- 4+ years building and operating core infrastructure, platform engineering, or infrastructure/DevOps; customer-facing deployment experience is described as ideal.
- Deep experience with a major cloud provider (GCP, AWS, or Azure), Terraform, and Kubernetes at scale.
- Strong understanding of cloud networking fundamentals, including VPCs, IAM, DNS, and load balancing.
- Track record operating production systems, including monitoring, on-call, incident response, and anticipating failure modes.
Nice to have
- Experience with deployments in customer-owned cloud environments, including security reviews, compliance, and change management.
- Experience building internal platforms or paved roads, or operating latency-sensitive or ML/AI-serving workloads in production.
Pay
USD $200K – $400K (base salary); equity offered, amount not stated.
Tools
GCP, AWS, Azure, Terraform, Kubernetes, Prometheus, Grafana, Datadog
AI focus
Own infrastructure reliability for production AI agents; operating latency-sensitive or ML/AI-serving workloads is a preferred qualification.
Model-written summary · the original posting is authoritative