Senior devops engineer – generative ai & cloud solutions

Job Title: Senior Dev Ops Engineer – Generative AI & Cloud Solutions Company: Brez Q Location: Hyderabad, India (Hybrid / On-site Options) Employment Type: Full-Time About Brez Q At Brez Q , we don’t just deliver IT consulting and software services; we develop future-driven tech solutions that help businesses lead the digital era. From robust Cloud-Native Development and Salesforce CRM solutions to highly secure, scalable infrastructure, we specialize in modernizing technology ecosystems. As we scale our AI & ML Integration practices, we are looking for a forward-thinking Dev Ops Engineer to bridge the gap between traditional cloud infrastructure and the evolving world of Generative AI.

We are seeking a Senior Dev Ops Engineer with specialized experience in Generative AI / LLMOps pipelines. In this role, you will design, automate, and secure the infrastructure that powers our custom software solutions and AI integrations. You will be responsible for setting up scalable cloud environments, building seamless CI/CD pipelines, and establishing cutting-edge deployment frameworks for Large Language Models (LLMs) and foundational AI applications.

1. Gen AI & LLMOps Infrastructure 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). 2. Core Dev Ops & Cloud Engineering 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. 3. Monitoring, Observability & Security Set up advanced observability tools (Prometheus, Grafana, Datadog) to track both infrastructure health and AI model performance metrics (latency, token usage, drift). Collaborate with engineering teams to ensure highly secured IT solutions, embedding data privacy, vulnerability scanning, and guardrails for LLM prompts/outputs. Required