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DevOps Engineer

Shrinq Consulting Group — United States · Posted ~1 day ago

Mid

Skills

Cloud infrastructure Generative AI infrastructure AWS Azure GCP Docker Kubernetes Terraform CI/CD Infrastructure as Code Cloud security GitHub Actions GitLab CI Jenkins

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Summary

A DevOps engineering position focused on building secure and scalable infrastructure for AI workloads. Responsibilities include cloud architecture, container orchestration, automation, deployment pipelines, and optimization of high-performance computing resources.

Highlights

Technical role focused on cutting-edge AI infrastructure, cloud-native engineering, automation, and scalable deployment systems.

Description

Design and manage cloud infrastructure tailored for hosting, fine-tuning, and serving Generative AI models. Implement and manage infrastructure for AI orchestration frameworks (e.g., Lang Chain, Llama Index, Semantic Kernel). Optimize vector databases (e.g., Pinecone, Milvus, Qdrant, or pgvector in Postgre SQL) for highly efficient Retrieval-Augmented Generation (RAG) pipelines. Implement cost-optimization strategies for heavy compute resources (GPUs/TPUs). Architect, scale, and maintain secure, cloud-native infrastructure utilizing AWS, Azure, or GCP. Orchestrate and manage containerized workloads using Docker and Kubernetes. Implement robust Infrastructure as Code (Ia C) using Terraform, Open Tofu, or Cloud Formation. Build, maintain, and optimize secure CI/CD pipelines (Git Hub Actions, Git Lab CI, or Jenkins) for automated software and model deployment.