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1–2 jobs· newest first

Azure Infra Lead
Hewlett Packard Enterprise · Pune, India
Hybrid · Full-time
Tech Lead-GenAI - VectorDBand PostgreSQL
VARITE INDIA PRIVATE LIMITED · Bangalore, India
Full-time · Senior

+10K new in the last hour

Azure Infra Lead

Hewlett Packard Enterprise · Posted Oct 26, 2026

Pune, Maharashtra, India
Hybrid
Full-time
6+ years

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V

Tech Lead-GenAI - VectorDBand PostgreSQL

VARITE INDIA PRIVATE LIMITED · Posted Nov 5, 2026

Bangalore, Karnataka, India
Full-time · Senior
5–7 years

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AI

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Lead Azure infrastructure solutions, design, deployment, and support for clients.

Responsibilities

Implement effective Azure infrastructure solutions
Plan, design, and support deployment efforts for project-based assignments
Manage Azure incident resolution as a 3rd line resolver
Automate support operations with workflows or scripts
Document operational procedures

Requirements

Nice to have: Docker
Nice to have: Azure Kubernetes
Nice to have: Azure DevOps
Nice to have: Accessibility

Skills

Microsoft Azure Architecture (AZ-300 & AZ-301)Azure Networking (Az-700)Azure public cloud Azure Stack HCI Azure stack hardware management Azure Monitor Azure Active Directory integration Azure Virtual Network Gateways ExpressRoute VPN appliances Azure networking, load balancing, security technologies Azure storage services Azure virtual machines Azure Backup Azure Site Recovery Role Based Access Controls Identity Access Management network planning, design, management network security Microsoft Windows Server Microsoft SQL Server ITIL process customer service orientation Azure Azure AD VPN

Benefits

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

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AI

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Seeking a Technical Consultant – AI Integration to design, develop, and implement enterprise-grade AI solutions using Agentic AI, LLMs, RAG, and Azure AI.

Compensation

Experience Level Bonus Referral: 0-2 years: INR 5,000; 2-6 years: INR 7,500; 6+ years: INR 10,000

Responsibilities

Design and develop AI-powered solutions using Python and modern AI frameworks.
Build and deploy Agentic AI applications capable of autonomous reasoning, planning, and task execution.
Develop and optimize RAG (Retrieval-Augmented Generation) architectures using vector databases and enterprise knowledge sources.
Integrate and customize Large Language Models (LLMs) for business use cases.
Utilize Azure AI Foundry to develop, deploy, monitor, and govern AI applications.

Skills

Python Agentic AI Development Retrieval-Augmented Generation (RAG)Large Language Models (LLMs)Azure AI Foundry AI Orchestration Frameworks Prompt Engineering Vector Databases (Pinecone, FAISS, Chroma, Azure AI Search)LangChain LangGraph Semantic Kernel CrewAI AutoGen REST APIs Microservices Azure OpenAI Services Enterprise Application Integration Git CI/CD DevOps Practices Microsoft Azure Azure AI Search Azure Functions Azure Storage Services Azure Kubernetes Service (AKS)

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