Senior SRE — MLOps for Scalable AI Infrastructure

Tiger Analytics, LLC; Washington (District of Columbia); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Career development opportunities

Job summary

Tiger Analytics, LLC is seeking a Site Reliability Engineer (SRE) in Washington, D.C. to ensure the reliability and performance of complex AI platforms. This hybrid role combines software engineering and systems architecture with a strong focus on MLOps. Key responsibilities include managing SLAs, optimizing AI infrastructure, automating tasks, and incident response. The position offers significant career growth opportunities in a fast-paced environment.

Qualifications

• Expert-level knowledge of Kubernetes and Docker.
• Strong proficiency in Python for automation and scripting.
• Familiarity with MLOps tools like Kubeflow and Vertex AI.

Responsibilities

• Define and maintain Service Level Objectives and Indicators.
• Manage auto-scaling strategies for Kubernetes infrastructure.
• Ensure high availability of Vertex AI endpoints and services.

Skills

Kubernetes (GKE)

Terraform

Python

MLOps

CI/CD

Tools

Prometheus

Grafana

Vertex AI

Kubeflow

Google Cloud Operations Suite

Job description

Tiger Analytics, LLC is seeking a Site Reliability Engineer (SRE) in Washington, D.C. to ensure the reliability and performance of complex AI platforms. This hybrid role combines software engineering and systems architecture with a strong focus on MLOps. Key responsibilities include managing SLAs, optimizing AI infrastructure, automating tasks, and incident response. The position offers significant career growth opportunities in a fast-paced environment.