Site Reliability Engineer: AI-Driven Kubernetes Automation

Kindredventures; United States; Remote; USD 8,504 - 14,882; Full time

Job summary

fal is seeking a senior platform engineer to own and operate Kubernetes infrastructure, including cluster lifecycle, upgrades, networking, and multi-tenant isolation for customer workloads. You will build and maintain CI/CD pipelines, leverage AI to automate production analysis, and drive reliability improvements with automation, SLOs, and incident processes, collaborating across teams in Turkey.

Strong focus on observability with Prometheus, Grafana, Loki, and Datadog, and experience with

Qualifications

• 5+ years of experience managing critical production systems and workflows.
• Experience operating Kubernetes at scale with IaC (Terraform, Ansible).
• Deep knowledge of Linux networking, container networking, DNS.
• Experience building CI/CD and GitOps (FluxCD, ArgoCD).
• Proficiency in Python and Go or Bash for tooling.
• Strong logging, monitoring, and alerting (Prometheus, Grafana, Loki, Datadog).

Responsibilities

• Own and operate Kubernetes infrastructure including cluster lifecycle and multi-tenant isolation.
• Build and maintain CI/CD pipelines and deployment infrastructure.
• Leverage AI to automate analysis and resolution of production issues.
• Build dashboards, alerting, and anomaly detection across systems.
• Define and enforce SLOs and incident response processes.
• Manage networking, load balancing, and service mesh configurations.
• Drive reliability improvements through automation and chaos engineering.

Skills

Production systems

Kubernetes at scale

Python

Go

Bash

CI/CD

GitOps

Logging & Monitoring

Linux networking

Communication

Tools

Terraform

Ansible

FluxCD

ArgoCD

Prometheus

Grafana

Loki

Thanos

Datadog

Job description

fal is seeking a senior platform engineer to own and operate Kubernetes infrastructure, including cluster lifecycle, upgrades, networking, and multi-tenant isolation for customer workloads. You will build and maintain CI/CD pipelines, leverage AI to automate production analysis, and drive reliability improvements with automation, SLOs, and incident processes, collaborating across teams in Turkey.

Strong focus on observability with Prometheus, Grafana, Loki, and Datadog, and experience with