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DecagonDecagonSan Francisco, CA

Staff Software Engineer, Infrastructure

Designs, builds, and operates high-scale, low-latency production infrastructure services, owning SLOs and end-to-end reliability. Partners with teams to optimize performance, evolve CI/CD, and support diverse deployments; requires 8+ years experience with strong observability and cloud expertise.

300k – 430k
Hybrid8+ YOEDevOps / SRE

About the role

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.

Requirements

  • 8+ 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).
  • Clear written communication and the ability to turn ambiguous requirements into simple, reliable designs.

Nice-to-Haves

  • Experience being an early backend/platform/infrastructure engineer at another company.
  • Strong Kubernetes experience (GKE/EKS/AKS) and experience across multiple cloud providers (GCP, AWS, Azure).
  • Experience with customer-managed deployments.

Compensation

  • $300K – $430K + equity

Skills

KubernetesTerraformGCPAWSAzureOpenTelemetryPrometheusGrafanaDatadogPagerdutyGKEEKSAksGitOps

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