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About the Role We are seeking an experienced Azure DevOps Engineer to design, implement, and maintain CI/CD pipelines, cloud infrastructure, and automation solutions on Microsoft Azure. This role bridges development and operations, ensuring reliable, secure, and scalable delivery of applications and infrastructure. Location: Hyderabad-India-Onsite Duration: Fulltime Responsibilities Design, build, and maintain CI/CD pipelines using Azure DevOps (Pipelines, Repos, Artifacts, Boards) Architect and manage Azure cloud infrastructure using Infrastructure as Code (ARM templates, Bicep, or Terraform) Automate build, test, and deployment processes across multiple environments Implement and manage containerization and orchestration (Docker, Azure Kubernetes Service) Monitor system performance, availability, and security using Azure Monitor, Log Analytics, and Application Insights Collaborate with development, QA, and security teams to streamline release management Implement Azure security best practices, identity management (Azure AD/Entra ID), and network architecture Manage cost optimization and governance across Azure subscriptions Troubleshoot production issues and support incident response Document infrastructure, pipelines, and operational procedures Required Qualifications Microsoft Certified: Azure Solutions Architect Expert, Azure Administrator Associate (required) 3+ years of hands-on experience with Azure DevOps and Azure cloud services Strong experience with Infrastructure as Code (Bicep, ARM templates, or Terraform) Proficiency scripting in PowerShell, Bash, or Python Experience with Git version control and branching strategies Solid understanding of networking, security, and identity concepts in Azure Experience with containerization (Docker) and orchestration (Kubernetes/AKS) Familiarity with monitoring and logging tools (Azure Monitor, Application Insights) Preferred Qualifications Additional certifications: Azure DevOps Engineer Expert Experience with multi-

XO Health believes healthcare is fixable. Become part of the community changing the face of the industry. XO Health is the first health plan designed by and for self-insured employers that delivers a more unified health experience for everyone – from those who receive care, to those who deliver it, to those who pay for it. We are growing a multi-disciplinary team of diverse and digitally empowered employees ready to rebuild trust in healthcare through comprehensive and unified transformation. CyberSecurity & Infrastructure Engineer - India (Remote) About the Role : The Cybersecurity & Infrastructure Engineer is responsible for designing, implementing, monitoring, and securing the organization's hybrid cloud and infrastructure environments. This role serves as a technical leader for cybersecurity operations, cloud security, compliance initiatives, infrastructure engineering, and incident response. The position combines hands-on infrastructure administration with cybersecurity engineering responsibilities across Microsoft Azure, Microsoft Sentinel, Microsoft 365, Entra ID, AWS, networking, endpoints, and security platforms. Engineering plays a key role in maintaining compliance with SOC 2 Type II controls, improving cyber resilience, supporting audits, and advancing the organization's security maturity. Responsibilities: SOC2 Audit Support organization's annual SOC 2 Type II audit program, including control design, evidence collection, remediation management, auditor coordination, and continuous compliance monitoring. Partner with business and technology stakeholders to ensure security, availability, confidentiality, and change management controls are effectively implemented and operating throughout the audit period. Drive successful completion of SOC 2 Type II examinations with minimal findings by maintaining an audit-ready environment, strengthening internal controls, and promoting a culture of security and compliance. Develop and maintain policies, pr

Role: DataOps Solution Architect — Azure Data Platform (Fabric & Databricks) Owns end-to-end architecture of the Azure data platform (Fabric, Databricks, Azure services) and sets the governance, security, and DataOps standards engineering teams implement. Design authority and primary architecture advisor to the client, not the day-to-day builder. Experience Required 8-10+ years overall in data engineering / cloud architecture, including 3+ years as a Solution Architect or in a comparable design-authority role. Microsoft Fabric: 2+ years hands-on. Azure Databricks: 4+ years hands-on. Proven track record designing and delivering enterprise-scale Azure data platforms end-to-end. Azure is mandatory ; experience across multiple client engagements or a consulting/SI background is a plus. Core Technical Expertise Azure Platform Fabric & Databricks architecture. ADF. ADLS. Entra ID. Key Vault. Monitor/Log Analytics. Microsoft Fabric Workspace & environment strategy. Lakehouse/Warehouse. OneLake. Pipelines/Notebooks. REST APIs/CLI. Governance. Azure Databricks Workspace strategy. Unity Catalog. RBAC. Jobs/Workflows. Delta Lake. Asset Bundles. ML platform integration. DevOps & IaC Azure DevOps/GitHub CI/CD. Terraform & Bicep. Branching/release strategy. Reusable IaC modules. Security & Networking Entra ID. RBAC architecture. Private Endpoints/DNS. Key Vault integration. DataOps Standards CI/CD & test gates for pipelines. Data-quality frameworks. Observability/alerting architecture. SLAs/SLOs. Incident-management practices. FinOps guardrails. Key Responsibilities Own end-to-end architecture; translate requirements into scalable, secure, cost-effective designs. Design enterprise-scale Fabric/Databricks architecture including workspace, networking, security, and governance. Set standards for CI/CD, IaC, DataOps, and environment management; ensure enterprise security and regulatory compliance. Evaluate technology options; identify architectural risks a

We're Hiring Senior AI Engineer (Generative AI Azure) Remote Immediate Joiners Preferred Salary: Up to 12 LPA We are seeking an experienced Senior AI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions on Microsoft Azure. The ideal candidate will have strong expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Azure AI Services, and modern AI engineering practices. Technical Summary • AI & LLMs: Azure OpenAI, GPT-4.x, OpenAI, Prompt Engineering, Prompt Chaining, Function Calling, Structured Outputs, Tool Calling, JSON Schema, Model Evaluation, Guardrails, Fine-tuning Concepts • Agentic AI: Multi-step Reasoning, Planning, Memory Management, Tool Orchestration, Multi-Agent Systems, Human-in-the-Loop Workflows, Reflection, Context Management, AI Observability • Frameworks: Semantic Kernel, LangChain, LangGraph, AutoGen, Azure AI Agent Service • RAG & MCP: Retrieval-Augmented Generation, Vector Search, Semantic Search, Hybrid Search, Embeddings, Knowledge Grounding, Citation Generation, Document Ingestion, Chunking, MCP Architecture, MCP Servers & Clients • Azure Technologies: Azure AI Foundry, Azure AI Search, Azure AI Document Intelligence, Azure Machine Learning, Azure Functions, API Management, Logic Apps, App Service, Container Apps, AKS, Azure Storage, Data Lake Gen2, Azure Key Vault, Azure Entra ID, Azure Monitor, Application Insights, Event Grid, Service Bus • Programming & DevOps: Python, C#, REST APIs, FastAPI, ASP.NET Core, JSON, YAML, Git, Azure DevOps, Docker, Kubernetes • Data Platforms: SQL Server, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, Microsoft Fabric, Azure Databricks, Delta Lake, Vector Databases (Azure AI Search, Pinecone, Weaviate, Milvus, Qdrant) • Security & Governance: Responsible AI, Prompt Injection Prevention, RBAC, Content Filtering, Data Privacy, GDPR, ISO 27001, Azure Key Vault, Audit Logging & Monitoring • Nice to Have: Microsoft Copilo