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DevOps Engineer

Shrinq Consulting Group — United States · Posted ~6 hours ago

Mid

Skills

AWS Azure GCP Docker Kubernetes Terraform CI/CD PostgreSQL Vector Databases

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Summary ✨ AI‑Generated

A DevOps engineering role focused on designing secure cloud infrastructure, managing containerized workloads, optimizing AI-related systems, and building automated deployment pipelines.

Highlights

Advanced DevOps role focused on cloud infrastructure, AI platform operations, automation, security, and scalable deployment systems.

Description

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.