Senior SRE – AI Platform (Kubernetes, GitOps)

Focused; Denver (CO); On-site; USD 160,000 - 195,000; Full time

Job summary

Focused in Denver is seeking a Senior Site Reliability Engineer to embed with a fast-growing AI developer platform company. You'll help customers run the platform on their own infrastructure: deploying it, keeping it healthy at scale, and making upgrades boring.

This role suits someone who has run stateful, self-hosted software in Kubernetes for demanding customers and wants to apply that in agentic AI. Key responsibilities include deploying and operating a containerized AI platform, managing

Qualifications

• 6+ years in SRE, platform, or infrastructure engineering.
• Deep hands-on experience with Kubernetes and Helm in production.
• Experience with GitOps tooling (ArgoCD or Flux).
• Experience operating stateful services in Kubernetes (Postgres, Redis, ClickHouse, Kafka, or similar).
• Proficiency with Terraform or similar IaC tools.
• Experience with at least one major cloud (AWS, GCP, or Azure) and its managed Kubernetes service.
• Strong scripting/automation skills (Python, Go, or Bash).
• Comfortable working directly with customers to debug environments.

Responsibilities

• Deploy, upgrade, and operate a containerized AI platform in customer-owned Kubernetes environments using Helm and GitOps (ArgoCD).
• Own the health of stateful backing services in-cluster, including Postgres, Redis, and ClickHouse.
• Troubleshoot deployments across varied customer setups, including private networking, air-gapped, and regulated environments.
• Turn recurring customer issues into better Helm charts, runbooks, and documentation.

Skills

Kubernetes

Helm

GitOps

PostgreSQL

Redis

ClickHouse

Terraform

AWS

GCP

Azure

Python/Go/Bash

Customer interaction

Tools

ArgoCD

Flux

OpenTelemetry

Prometheus

Grafana

Job description

Focused in Denver is seeking a Senior Site Reliability Engineer to embed with a fast-growing AI developer platform company. You'll help customers run the platform on their own infrastructure: deploying it, keeping it healthy at scale, and making upgrades boring.

This role suits someone who has run stateful, self-hosted software in Kubernetes for demanding customers and wants to apply that in agentic AI. Key responsibilities include deploying and operating a containerized AI platform, managing