Location: PAN India Hybrid/Remote Requirements: Hiring For Two Skills Skills Required for CE Customization: Explore the core capabilities of customer engagement apps in Dynamics 365 Describe Dynamics 365 Customer Insights Configure Dynamics 365 Customer Insights Journeys Manage segments and preferences Manage leads, contacts, and accounts Manage marketing channels Manage journeys Manage events and webinars Administer Customer Insights Data Orchestrate marketing experiences, Personalize marketing messaging, Deliver marketing insights, Describe Dynamics 365 Customer Service Manage cases and Knowledge Management Manage entitlements and SLAs Manage scheduling Manage multi-session experiences for Customer Service Manage analytics and insights Manage Microsoft Power Platform Manage Connected Customer Service Manage routing Describe Dynamics 365 Field Service Configure field service applications Manage work orders Schedule and dispatch work orders Manage the Field Service mobile app Manage inventory and purchasing by using the built-in inventory management system Manage Connected Field Service and customer assets Implement Microsoft Power Platform Describe Dynamics 365 Sales Configure Dynamics 365 Sales Manage core sales features Understanding with and convert leads, Configure additional tools and services Customization : SystemCustomizations Custom forms, views, Ribbon, Clients-Side scripting Solution, Pipeline Channel Integration Framework, PCF DevelopmentPlugin, SDK/API, Custom Workflow Code IntegrationAzure Data factory, Azure Integration with Dataverse Dataverse connector, Virtual Entities 2) Skills Required For CE Application: Explore the core capabilities of customer engagement apps in Dynamics 365 Describe Dynamics 365 Customer Insights Configure Dynamics 365 Customer Insights Journeys Manage segments and preferences Manage leads, contacts, and accounts Manage marketing channels Manage journeys Manage events and webinars Administer Customer Insights Data Orchestrate marketing experiences, Personalize marketing messaging, Deliver marketing insights, Describe Dynamics 365 Customer Service Manage cases and Knowledge Management Manage entitlements and SLAs Manage scheduling Manage multi-session experiences for Customer Service Manage analytics and insights Manage Microsoft Power Platform Manage Connected Customer Service Manage routing Describe Dynamics 365 Field Service Configure field service applications Manage work orders Schedule and dispatch work orders Manage the Field Service mobile app Manage inventory and purchasing by using the built-in inventory management system Manage Connected Field Service and customer assets Implement Microsoft Power Platform Describe Dynamics 365 Sales Configure Dynamics 365 Sales Manage core sales features Understanding with and convert leads, Configure additional tools and services
Location: Bangalore - Daily schedule and OT estimate: 9 hours - Shift time: EMEA/IST/EST - Equipment or software required: Supplier - Workspace type: Onsite - Experience: 3-6 years Job Title: Support Engineer Azure Databricks Role Overview: We are looking for a highly skilled Support Engineer to provide technical assistance for Azure Databricks, ensuring customers can efficiently manage and optimize their big data and analytics solutions. This role requires problem-solving expertise, deep technical knowledge, and a strong commitment to delivering exceptional customer experiences. Key Responsibilities: • Troubleshoot and resolve technical issues related to Azure Databricks and its associated big data services. • Provide performance tuning, configuration guidance, and issue resolution for Spark, Data Lake, and cloud streaming technologies. • Collaborate with internal teams to diagnose and address complex technical challenges. • Escalate critical issues and advocate for product improvements based on customer feedback. • Stay current with big data technologies, open-source ecosystems, and cloud computing advancements. • Educate users on best practices for data engineering and analytics workflows. Required Qualifications: • 3+ years of experience in technical support, consulting, or IT-related fields, OR • Bachelor’s degree in Computer Science, IT, or a related discipline, plus 1+ year of relevant technical experience. • Hands-on expertise in big data and analytics platforms, including: o Azure Databricks, Azure Data Factory o Spark, Azure data lake storage, Delta tables o Cloud streaming technologies • Proficiency in Python, Scala, or R for data engineering and debugging. • Familiarity with Linux and Open Source Ecosystems (Apache, etc.). • Strong experience in technical/customer support, consulting, or software engineering. Preferred Skills: • Foundational knowledge of Azure and Azure Databricks for managing workloads. • Understanding of networking concepts, including: o Testing connectivity, DNS resolution, Virtual Networks, Peering, and Private Endpoints. • Strong communication and collaboration skills for engaging with customers and cross-functional teams. Role & responsibilities Preferred candidate profile
Role & responsibilities Job Summary We are seeking a highly skilled GPU Infrastructure Engineer to join our team. This role focuses on the design, implementation, and management of enterprise network and cloud-based infrastructure to support evolving Azure cloud needs. The ideal candidate will have a strong background in software, network, or systems engineering, along with hands-on experience in managing large-scale cloud and data center operations. Responsibilities Respond to incidents during regular on-call rotations and resolve issues efficiently to minimize downtime. Design and plan scalable GPU infrastructure solutions to meet organizational capacity and performance needs. Collaborate with cross-functional teams to define and implement GPU infrastructure architecture that aligns with business objectives. Evaluate GPU technologies and recommend the best hardware and software configurations. Configure and deploy GPU servers, including installation and setup of hardware, software, and networking components. Coordinate with vendors for procurement and installation of GPUs and related infrastructure. Implement and manage GPU clustering setups for compute-intensive tasks. Utilize monitoring tools to assess GPU performance metrics and system health. Conduct benchmarking tests and analyze the results to identify performance bottlenecks. Optimize workload distribution across GPU resources to ensure maximum efficiency. Provide expert troubleshooting support for reporting and resolving GPU-related issues experienced by team members. Maintain incident response protocols to address hardware and software failures swiftly and effectively. Develop FAQs and knowledge base articles to streamline support processes for internal users. Infrastructure Maintenance: Schedule and perform routine maintenance, including updates to software, firmware, and drivers related to GPU systems. Plan and execute capacity upgrades and expansions as needed, ensuring minimal disruption to services. Conduct post-mortem analyses on significant incidents to improve overall system reliability. Write scripts for automation of deployment, configuration management, and system monitoring tasks (e.g., Python, Bash). Develop tools that increase productivity for engineering and data science teams using GPUs. Implement Infrastructure as Code (IaC) practices for efficient and repeatable deployments. Requirements Bachelors or Masters Degree in Computer Science, Information Technology, or a related field. Technical Experience: Proven expertise in software engineering, network engineering, or systems administration. Hands-on experience with managing and debugging cloud backend server and networking infrastructure and services. Strong understanding of enterprise network and cloud-based architectures, including experience working with Cisco and Azure. Experience with cloud platforms providing GPU services (e.g., AWS, Google Cloud, Azure). Understanding virtualization technologies (e.g., Docker, Kubernetes) and server orchestration tools. Knowledge of network configurations and storage solutions used in GPU environments. Strong understanding of GPU architectures (NVIDIA CUDA, AMD ROCm, etc.). Experience with AI/ML workloads, HPC, or rendering applications. Familiarity with PCIe, memory subsystems (DDR, HBM), and high-speed I/O. Understanding of Azure Pipeline , Azure DevOps. Demonstrated knowledge in deploying servers and network infrastructure equipment at scale. Specialized Skills: Experience working with GPU hardware or related system engineering. Experience with: Data center architecture and cloud infrastructure. Network infrastructure design and management in hybrid environments. Certifications in relevant technologies such as: Cisco (e.g., CCNA /CCNP). AZ900(Manadatory) , AZ104 (Optional). OCI Foundations Associate (Optional) ITIL or equivalent certifications (Optional).
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