AI Infrastructure Reliability Engineer

FDE Times; San Mateo; Vor Ort; PHP 1.200.000 - 2.400.000; Vollzeit

Zusammenfassung

Fireworks AI is seeking an experienced Reliability Engineer to join our team. You will own the reliability toolchain, define SLOs, run incident management, and automate toil while collaborating with cloud infra, AI systems, and product teams.

You will instrument systems, build logging/telemetry, manage failure budgets, and drive fixes across services. This role requires strong Linux, Python/Go/C++, Kubernetes, Terraform, Docker, and observability tooling experience.

Qualifikationen

• 5+ years in Linux internals, performance, and networking fundamentals.
• 5+ years in Python, Go, C++, or Rust for production-grade tooling.
• Experience with Kubernetes, Terraform, Docker in high-throughput environments.
• Strong reliability design with SLO/SLA management and automated failover.

Aufgaben

• Define reliability standards with SLOs, error budgets, and production readiness.
• Own the reliability toolchain: logging, telemetry, alerting, and failure testing.
• Maintain customer experience by ensuring services meet SLOs under load.
• Identify cross-system failure points and drive fixes across teams.
• Run incident management and postmortems; track follow-ups to completion.
• Automate repetitive operational tasks to reduce on-call toil.
• Collaborate with cloud infra, AI systems, and product teams on reliability.

Kenntnisse

Linux internals

System performance troubleshooting

Networking fundamentals

Python

Go

C++

Rust

Kubernetes

Terraform

Docker

Distributed systems

SLO/SLA management

High-availability architecture

Influence without authority

Broad range stack

Ausbildung

Bachelor's or Master's in CS/CE or equivalent

Tools

Prometheus

Grafana

OpenTelemetry

Kubernetes

Terraform

Docker

Jobbeschreibung

Fireworks AI is seeking an experienced Reliability Engineer to join our team. You will own the reliability toolchain, define SLOs, run incident management, and automate toil while collaborating with cloud infra, AI systems, and product teams.

You will instrument systems, build logging/telemetry, manage failure budgets, and drive fixes across services. This role requires strong Linux, Python/Go/C++, Kubernetes, Terraform, Docker, and observability tooling experience.