Decagon is looking to hire a Senior Infrastructure Engineer to design, build, and operate production infrastructure for high-scale, low-latency systems to support their conversational AI platform.
Requirements
- 6+ years building and operating production infrastructure at scale.
- Depth in at least one area across Core/Data/AI-ML/Platform/Voice, with curiosity to learn the rest.
- Proven track record meeting high availability and low latency targets (owning SLOs, p95/p99, and load testing).
- Excellent observability chops (OpenTelemetry, Prometheus/Grafana, Datadog) and incident response (PagerDuty, SLO/error budgets).
- Strong Kubernetes experience (GKE/EKS/AKS) and experience across multiple cloud providers (GCP, AWS, and Azure)
- Experience with customer‑managed deployments
Responsibilities
- Design and implement critical infrastructure services with strong SLOs, clear runbooks, and actionable telemetry.
- Partner with research and product teams to architect solutions, set up prototypes, evaluate performance, and scale new features.
- Tune service latencies: optimize networking paths, apply smart caching/queuing, and tune CPU/memory/I/O for tight p95/p99s.
- Evolve CI/CD, golden paths, and self-service tooling to improve developer velocity and safety.
- Support various deployment architectures for customers with robust observability and upgrade paths.
- Lead infrastructure-as-code (Terraform) and GitOps practices; reduce drift with reusable modules and policy-as-code.
- Participate in on-call and drive down toil through automation and elimination of recurring issues.
Other
- Clear written communication and the ability to turn ambiguous requirements into simple, reliable designs.
- Experience being an early backend/platform/infrastructure engineer at another company
- Medical, dental, and vision
- Flexible time off
- Daily lunch/dinner & snacks in the office
