SRE Engineer-AI/ML Data Platform

Austin, TX, US • Posted 10 hours ago • Updated 10 hours ago
Full Time
75% Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • DevOps
  • Artificial Intelligence
  • Continuous Delivery
  • Continuous Integration
  • Data Engineering
  • Flask
  • Microsoft Azure
  • Open Source
  • Python
  • Machine Learning Operations (ML Ops)

Summary

Note: This role is open in both Sunnyvale, CA & Austin, TX locations.

Core Technical Skills

  • Strong experience in DevOps / SRE roles
  • Strong Python programming experience(FastAPI/Flask etc.)
  • Hands-on expertise with Linux, shell scripting, and system internals
  • Strong experience with Kubernetes & Docker in production
  • Cloud expertise in AWS (EKS, EC2, IAM, S3, Lambda, networking); Google Cloud Platform/Azure is a plus
  • CI/CD tooling: GitHub Actions, Jenkins, GitLab CI, ArgoCD, etc.

 

AI/ML & Data Platform Exposure

  • Practical experience supporting AI/ML or data engineering platforms.
  • Experience with LLMs (OpenAI, Anthropic, Azure OpenAI, or open-source models).
  • Strong understanding of RAG patterns including vector search, embeddings, and document pipelines.
  • Familiarity with MLOps concepts and tools (MLflow, Kubeflow, SageMaker, Airflow, Ray, Spark – any).
  • Understanding of model lifecycle management, deployment strategies, and monitoring.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91099677
  • Position Id: 8962865
  • Posted 10 hours ago
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