Senior Technical Lead

Job description

Position Summary We are seeking a hands-on Cloud Engineer with strong experience in Microsoft Azure, IoT architecture, real-time data platforms, and cloud data engineering . The candidate should be capable of both designing cloud solutions and executing the implementation , from architecture through production deployment. Key Responsibilities Design and implement scalable Azure cloud and IoT architectures . Build real-time and event-driven data pipelines using Azure Event Hubs, Event Grid, Azure Data Explorer (ADX), Databricks, and ADLS Gen2 . Design IoT data flows using MQTT, APIs, streaming telemetry, and event-driven messaging . Build and optimize ADX/KQL and Databricks/Python/PySpark/SQL solutions. Support both real-time and historical/batch analytics architectures. Implement secure Azure connectivity using VNets, Private Endpoints, RBAC, Managed Identities, and Service Principals . Deploy cloud applications using Docker , with AKS or Azure Container Apps experience preferred. Troubleshoot performance, connectivity, data latency, and production issues. Implement CI/CD and Infrastructure as Code using Azure DevOps, Terraform, Bicep, or similar tools . Work closely with IoT, data engineering, analytics, application, and infrastructure teams. Required Experience Strong hands-on Microsoft Azure engineering experience. Experience with Event Hubs, Event Grid, ADX, Databricks, and ADLS Gen2 . Experience designing and implementing IoT or connected-device architectures . Knowledge of MQTT and real-time/streaming data architectures . Strong skills in Python, SQL, PySpark, and/or KQL . Understanding of Azure networking, security, and identity. Experience with Docker, CI/CD, and Infrastructure as Code . Ability to take a solution through the full lifecycle: Requirements → Architecture → Design → Build → Deploy → Production Support Preferred Experience with connected vehicles, telematics, industrial IoT, high-volume telemetry, time-series data, AKS, Azure Container Apps, and Power BI . Most importantly, we are looking for a hands-on engineer who can both design the architecture and personally build and deploy the solution. Key Responsibilities Position Summary We are seeking a hands-on Cloud Engineer with strong experience in Microsoft Azure, IoT architecture, real-time data platforms, and cloud data engineering . The candidate should be capable of both designing cloud solutions and executing the implementation , from architecture through production deployment. Key Responsibilities Design and implement scalable Azure cloud and IoT architectures . Build real-time and event-driven data pipelines using Azure Event Hubs, Event Grid, Azure Data Explorer (ADX), Databricks, and ADLS Gen2 . Design IoT data flows using MQTT, APIs, streaming telemetry, and event-driven messaging . Build and optimize ADX/KQL and Databricks/Python/PySpark/SQL solutions. Support both real-time and historical/batch analytics architectures. Implement secure Azure connectivity using VNets, Private Endpoints, RBAC, Managed Identities, and Service Principals . Deploy cloud applications using Docker , with AKS or Azure Container Apps experience preferred. Troubleshoot performance, connectivity, data latency, and production issues. Implement CI/CD and Infrastructure as Code using Azure DevOps, Terraform, Bicep, or similar tools . Work closely with IoT, data engineering, analytics, application, and infrastructure teams. Required Experience Strong hands-on Microsoft Azure engineering experience. Experience with Event Hubs, Event Grid, ADX, Databricks, and ADLS Gen2 . Experience designing and implementing IoT or connected-device architectures . Knowledge of MQTT and real-time/streaming data architectures . Strong skills in Python, SQL, PySpark, and/or KQL . Understanding of Azure networking, security, and identity. Experience with Docker, CI/CD, and Infrastructure as Code . Ability to take a solution through the full lifecycle: Requirements → Architecture → Design → Build → Deploy → Production Support Preferred Experience with connected vehicles, telematics, industrial IoT, high-volume telemetry, time-series data, AKS, Azure Container Apps, and Power BI . Most importantly, we are looking for a hands-on engineer who can both design the architecture and personally build and deploy the solution. Skill Requirements Position Summary We are seeking a hands-on Cloud Engineer with strong experience in Microsoft Azure, IoT architecture, real-time data platforms, and cloud data engineering . The candidate should be capable of both designing cloud solutions and executing the implementation , from architecture through production deployment. Key Responsibilities Design and implement scalable Azure cloud and IoT architectures . Build real-time and event-driven data pipelines using Azure Event Hubs, Event Grid, Azure Data Explorer (ADX), Databricks, and ADLS Gen2 . Design IoT data flows using MQTT, APIs, streaming telemetry, and event-driven messaging . Build and optimize ADX/KQL and Databricks/Python/PySpark/SQL solutions. Support both real-time and historical/batch analytics architectures. Implement secure Azure connectivity using VNets, Private Endpoints, RBAC, Managed Identities, and Service Principals . Deploy cloud applications using Docker , with AKS or Azure Container Apps experience preferred. Troubleshoot performance, connectivity, data latency, and production issues. Implement CI/CD and Infrastructure as Code using Azure DevOps, Terraform, Bicep, or similar tools . Work closely with IoT, data engineering, analytics, application, and infrastructure teams. Required Experience Strong hands-on Microsoft Azure engineering experience. Experience with Event Hubs, Event Grid, ADX, Databricks, and ADLS Gen2 . Experience designing and implementing IoT or connected-device architectures . Knowledge of MQTT and real-time/streaming data architectures . Strong skills in Python, SQL, PySpark, and/or KQL . Understanding of Azure networking, security, and identity. Experience with Docker, CI/CD, and Infrastructure as Code . Ability to take a solution through the full lifecycle: Requirements → Architecture → Design → Build → Deploy → Production Support Preferred Experience with connected vehicles, telematics, industrial IoT, high-volume telemetry, time-series data, AKS, Azure Container Apps, and Power BI . Most importantly, we are looking for a hands-on engineer who can both design the architecture and personally build and deploy the solution. Other Requirements Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. 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