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# Senior Site Reliability Engineer, AI Platforms

- **Company:** Focused Labs
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Salary:** $160,000.0 - $195,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Computer Networks, Databases, Software Debugging, Python (Programming Language), Key Management, PostgreSQL, Open Source Technology, Commercial Software, Performance Tuning, Role-Based Access Control, Redis, Reliability Engineering, Prometheus, Single Sign-On, Software Engineering, Datadog, Google Cloud, System Availability, Large Language Models, Grafana, Kubernetes Helm Charts, Agentic-AI, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Apache Kafka, Vertica, Terraform
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-site-reliability-engineer-ai-platforms-denver-co--cc0530c7-b7a1-442f-aff2-709e7c2030f2

## About the Role

Reliability Engineering, Artificial Intelligence (AI), Channel Strategies, Software Design, Diving, Problem Solving Skills, Reliability Engineering, Boring, Artificial Intelligence (AI), Customer Support/Service, * 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
 * Solid scripting and automation skills (Python, Go, or Bash)
 * Comfortable working directly with customers to debug their environments

Preferred Qualifications (Exceptional Candidates):

 * Experience supporting self-hosted or on-prem deployments of a commercial software product
 * Experience with air-gapped or regulated environments (FedRAMP, HIPAA, SOC 2)
 * Familiarity with observability tooling (OpenTelemetry, Prometheus, Grafana, Datadog, Honeycomb)
 * Exposure to LLM applications, agent frameworks, or LLM observability and evaluation tools

What Sets Exceptional Candidates Apart:

 * You've written or maintained Helm charts that other teams depend on
 * You've scaled ClickHouse or another analytical database under heavy ingest
 * Contributions to open-source infrastructure or AI tooling
 * Strong technical writing; your runbooks get used

## Description

Self-Hosted Platform Reliability

 * 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

Site Reliability Engineering

 * Define and track SLIs and SLOs for self-hosted deployments
 * Lead incident response and blameless post-mortems
 * Do capacity planning and performance tuning for high-volume trace and event data
 * Reduce toil through automation

Infrastructure & Cloud

 * Build and maintain infrastructure with Terraform across AWS, GCP, and Azure (EKS, GKE, AKS)
 * Build CI/CD pipelines that test upgrade paths and catch regressions before customers do
 * Apply security best practices: secrets management, RBAC, network policy, SSO