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Senior Azure Web Architect About the Job : We are seeking a highly experienced and hands-on Senior Azure Web Architect with 8+ years of relevant experience to join our remote team in India. You will be pivotal in designing, architecting, and implementing robust and scalable web and e-commerce solutions on Microsoft Azure. Your deep expertise in web applications, Azure DevOps, and seamless integration with leading e-commerce platforms like Shopify and commerce tools will be crucial to our success. This role demands a strong technical leader who is not only strategic but also deeply involved in the implementation, particularly with Node.js, React, Next.js, Fastify, Platformatic, and TypeScript. Responsibilities : - Architect and implement highly scalable and resilient web and e-commerce solutions leveraging Microsoft Azure services. - Lead the seamless integration of Shopify and commercetools platforms with backend services and other enterprise systems, utilizing their respective APIs and webhooks. - Design and build robust and efficient Continuous Integration/Continuous Delivery (CI/CD) pipelines using Azure DevOps and/or GitHub Actions. - Take ownership of optimizing application performance, implementing comprehensive monitoring solutions, and ensuring robust security measures are in place. - Collaborate effectively across development, infrastructure, and security teams to deliver high-quality and secure solutions. - Provide technical leadership and guidance to development teams on Azure best practices and architectural patterns. - Define and implement Infrastructure-as-Code (IaC) using Terraform, ARM templates, and/or Azure Bicep for consistent and automated infrastructure provisioning. - Design and implement containerized solutions using Docker and orchestrate them with Kubernetes on Azure Kubernetes Service (AKS). - Implement and manage API Management solutions for secure and scalable API access. - Design and implement integration workflows using Azure Logic Apps for seamless data exchange between systems. Key Skills : Mandatory Hands-on Expertise : - Node.js - React - Next.js - Azure Web Architecture & DevOps : Deep understanding of Azure services relevant to web applications and DevOps practices. - CI/CD : Proven experience in building and managing CI/CD pipelines using Azure DevOps and/or GitHub Actions. - E-commerce Integration : Strong experience integrating with Shopify and commerce tools platforms (APIs, webhooks). - Full-stack Expertise : Comprehensive understanding of full-stack development principles and hands-on experience with the listed technologies. - Infrastructure-as-Code (IaC) : Expertise in using Terraform, ARM templates, and/or Azure Bicep for infrastructure automation. - Containerization & Orchestration : Hands-on experience with Docker and Kubernetes (AKS). - API Management : Experience implementing and managing API Management solutions. - Integration : Experience with Azure Logic Apps for workflow automation. Experience : - 8+ years of relevant experience in web application architecture and development. - Significant experience architecting and deploying solutions on Microsoft Azure. - Proven experience integrating with e-commerce platforms like Shopify and commerce tools

Vadodara/Baroda

Senior Azure Web Architect (8-10 yrs)

Key Responsibilities : - XtremIO X2 Expertise (Mandatory) : Provide expert-level administration, configuration, troubleshooting, and performance management of our XtremIO X2 all-flash storage arrays. - SAN Management : Design, configure, and manage SAN fabric infrastructure, including zoning, LUN masking, and troubleshooting connectivity issues on various SAN switches. - Protocol Configuration : Implement and manage iSCSI and Fibre Channel (FC) configurations for optimal storage connectivity. - VMware Integration : Architect and manage storage solutions for VMware environments, including datastore provisioning, mapping, and performance optimization. - Multi-Vendor SAN Knowledge : Possess a strong understanding and hands-on experience with Dell Compellent SAN arrays. - Azure Storage Solutions : Design, implement, and manage storage solutions within Microsoft Azure, including Azure Blob Storage, Azure Files, and Azure Persistent Disks. - Performance Optimization : Proactively monitor storage performance, identify bottlenecks, and implement tuning strategies to ensure optimal system responsiveness. - Upgrades and Maintenance : Plan and execute storage system upgrades, firmware updates, and routine maintenance activities with minimal disruption. - Capacity Planning : Perform capacity planning and forecasting to ensure adequate storage resources are available to meet future demands. - Troubleshooting and Incident Management : Lead the resolution of complex storage-related incidents and provide root cause analysis. - Documentation : Create and maintain comprehensive documentation of storage configurations, procedures, and best practices. - Collaboration : Work closely with server administrators, network engineers, and application teams to ensure seamless integration of storage solutions. Key Skills : - Mandatory : Expert-level administration and deep hands-on experience with XtremIO X2 all-flash storage arrays. - Strong hands-on experience in configuring and managing SAN switches (zoning, LUN masking). - Proven ability to configure and troubleshoot iSCSI and Fibre Channel (FC) connectivity. - Solid understanding and practical experience with VMware storage integration and datastore mapping. - Experience with Dell Compellent SAN storage arrays. - Hands-on experience with Azure storage services: Blob Storage, Files, and Persistent Disks. - Proven ability to perform storage performance tuning and execute storage system upgrades. Experience : - 5+ years of progressive experience in Storage Architecture and/or L3 Storage Administration roles. - Significant hands-on experience with enterprise-class storage solutions, with a strong emphasis on XtremIO X2.

Hyderabad

L3 Storage Architect (10-12 yrs)

Responsibilities : - Design and develop scalable and robust AI models and algorithms. - Implement and optimize machine learning and deep learning models for various applications. - Develop and deploy AI-powered applications and services. - Integrate AI solutions with existing systems and platforms. - Conduct research and experimentation to explore new AI techniques and methodologies. - Stay up-to-date with the latest advancements in AI research and development. - Contribute to the development of intellectual property and patents. - Identify and evaluate emerging AI technologies. - Design and implement data pipelines for AI model training and deployment. - Manage and optimize large datasets for AI applications. - Ensure data quality and integrity. - Collaborate with data engineers to build robust data infrastructure. - Deploy AI models to production environments. - Monitor and optimize model performance. - Implement model versioning and management strategies. - Ensure scalability and reliability of AI systems. - Collaborate with cross-functional teams, including product managers, software engineers, and researchers. - Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences. - Participate in technical reviews and presentations. - Provide technical leadership and guidance to junior AI engineers. - Mentor and train team members on AI best practices and technologies. - Contribute to architectural decisions and technology selection. Qualifications : - Experience : 7+ years of professional experience in AI engineering or related fields. - Deep expertise in machine learning and deep learning algorithms and techniques. - Experience with relevant AI frameworks and libraries (TensorFlow, PyTorch, scikit-learn). - Experience with NLP, computer vision, or other specialized AI domains. - Strong proficiency in Python and other relevant programming languages. - Experience with software development best practices. - Experience with data pipelines and data management. - Knowledge of database systems and data warehousing. - Strong analytical and problem-solving skills. - Excellent written and verbal communication skills. Education : - Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field. Preferred Qualifications : - Experience with cloud-based AI platforms (AWS, Azure, GCP). - Experience with distributed computing and parallel processing. - Experience with deploying AI models to production environments. - Publications in AI conferences or journals

Artificial Intelligence Engineer - Machine Learning/Deep Learning (7-10 yrs)

Responsibilities : - Design, develop, and implement custom Copilot Studio solutions and plugins. - Build and deploy conversational AI experiences and workflows within M365. - Integrate Copilot Studio with various M365 applications and services (Teams, SharePoint, Outlook, etc. - Develop and maintain custom connectors to external data sources. - Leverage Microsoft Graph API and other M365 APIs for seamless integration. - Customize and extend M365 applications to meet specific business requirements. - Implement security and compliance best practices within M365 environments. - Apply AI and machine learning concepts to enhance Copilot Studio capabilities. - Develop and integrate natural language processing (NLP) and machine learning models. - Optimize AI-driven workflows for performance and accuracy. - Design scalable and maintainable Copilot Studio solutions. - Develop architectural blueprints and technical specifications. - Ensure alignment of solutions with business requirements and technical standards. - Develop and execute comprehensive test plans for Copilot Studio solutions. - Debug and troubleshoot complex issues within M365 and Copilot Studio. - Ensure high-quality code and adherence to best practices. - Collaborate with product managers, developers, and business stakeholders. - Communicate technical concepts clearly and concisely to non-technical audiences. - Participate in Agile/Scrum ceremonies. - Stay up-to-date with the latest M365 and AI technologies. - Identify and implement process improvements. - Contribute to the development of reusable components and libraries. Qualifications : - Experience : 5-8 years of professional experience in software development, with a focus on Microsoft technologies and AI. - Deep expertise in Microsoft 365 development and integration. - Strong understanding of Microsoft Graph API and related M365 APIs. - Experience with Copilot Studio and Power Platform. - Understanding of AI and machine learning concepts. - Experience with NLP and machine learning models. Programming Skills : - Proficiency in relevant programming languages (JavaScript, TypeScript, Python). - Experience with API development and integration. Testing & Debugging : - Experience with testing frameworks and debugging tools. Communication : - Excellent written and verbal communication skills. Education : - Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications : - Microsoft certifications related to M365 and AI. - Experience with Azure Cognitive Services. - Experience with cloud-based AI platforms. - Experience with DevOps practices and CI/CD pipelines

M365 Copilot Studio Developer (5-8 yrs)

Job Title : M365 Copilot Studio Developer (Azure AI) Position Overview : We are looking for an AI Bot Developer and Business Process Analyst to create and deploy AI-powered Copilot Agents using Copilot Studio and Azure AI, driving business automation and optimization. Key Responsibilities : - Develop Copilot Agents : Create customized AI agents with Copilot Studio to meet client needs. - Integrate with Azure AI : Use Azure OpenAI and other Azure services to enhance AI solutions. - Collaborate with Stakeholders : Understand business requirements and deliver AI-driven solutions. - Customize & Optimize : Tailor pre-built models and workflows for optimal agent performance. - Training & Support : Train users and provide ongoing support for AI tools. - Deployment & Monitoring : Ensure smooth deployment and monitor AI agent performance. - Documentation : Maintain process and configuration documentation for scalability. Qualifications : - Experience with AI Tools : Hands-on experience with Copilot Studio, Azure AI, or similar platforms. - Technical Skills : Proficiency in workflow design, APIs, and coding (e.g., Python, PowerShell). - AI & Automation Knowledge : Understanding of machine learning and LLM deployment. - Communication Skills : Ability to explain technical concepts to non-technical stakeholders. - Problem-Solving : Creative and analytical mindset for delivering AI solutions. Preferred Skills : - Experience with Power Automate, Power Apps, or similar Microsoft solutions. - Familiarity with DevOps processes and CI/CD pipelines for AI projects.

Remote

Anywhere in India/Multiple Locations

Microsoft 365 Copilot Studio Developer - Azure AI (7-20 yrs)

Job Description : Responsibilities : - Design, develop, and deploy intelligent Copilot Agents using Azure OpenAI Service, Azure Bot Service, and related Azure AI services. - Implement natural language understanding (NLU) and natural language generation (NLG) capabilities to enable seamless and intuitive user interactions. - Integrate Copilot Agents with various enterprise systems and data sources to provide relevant and personalized responses. - Develop and maintain robust and scalable architecture for Copilot Agent deployments. - Build and deploy Generative AI solutions using Azure OpenAI models (GPT-3/4, Codex, etc.) for tasks such as content generation, summarization, and code completion. - Develop and implement prompt engineering strategies to optimize the performance and accuracy of Generative AI models. - Fine-tune pre-trained models and develop custom models to meet specific business requirements. - Implement Retrieval Augmented Generation (RAG) patterns to enhance the performance and accuracy of generative AI models. - Utilize Azure Cognitive Services (Computer Vision, Speech Services, Language Understanding) to enrich AI applications with multimodal capabilities. - Leverage Azure Machine Learning for model training, deployment, and monitoring. - Design and implement data pipelines using Azure Data Factory and Azure Databricks to support AI model development and deployment. - Deploy and manage AI solutions on Azure Kubernetes Service (AKS) and Azure Functions for scalability and reliability. - Write clean, efficient, and well-documented code using languages such as Python, C#, or JavaScript. - Implement CI/CD pipelines for automated testing and deployment. - Adhere to software development best practices, including version control, code reviews, and unit testing. - Monitor and troubleshoot AI application performance and identify areas for optimization. - Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to deliver high-quality AI solutions. - Communicate technical concepts and solutions effectively to both technical and non-technical audiences. - Participate in agile development processes and contribute to sprint planning and reviews. - Stay up to date on the latest advancements in AI and Azure technologies. Qualifications : Education : Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Experience : - Minimum of 7+ years of experience in software development, with a focus on AI and machine learning. - Proven experience developing and deploying AI solutions on the Microsoft Azure platform. - Hands-on experience with Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. - Experience with prompt engineering and fine-tuning large language models. - Experience with RAG patterns. Technical Skills : - Proficiency in programming languages such as Python, C#, or JavaScript. - Strong understanding of machine learning concepts and algorithms. - Experience with cloud computing platforms, particularly Microsoft Azure. - Familiarity with containerization and orchestration technologies (Docker, Kubernetes). - Experience with CI/CD pipelines and DevOps practices. - Knowledge of REST APIs and web services

Azure AI Bot Developer (7-9 yrs)

Job Title : Release Manager / Analytics Operational Team (SAP BW / HANA Consultant). Location : Remote, India. Experience Required : 5 to 7+ Years. Job Description : We are seeking an experienced SAP BW / HANA Consultant to join our Analytics Operations Team. The ideal candidate will have strong technical expertise in SAP BW and SAP HANA, with a solid understanding of performance optimization. You should be an independent, proactive problem solver, with excellent hands-on experience in modeling, system management, and analytics operations. In this role, you will support the BW Release Management and Analytics Operations, ensuring the smooth integration and operation of SAP systems and cloud solutions. You will play a critical part in performance monitoring, system health checks, and continuous improvements across our analytics infrastructure. Responsibilities : BW Release Management : - Full support of releases and imports of BW/HANA/BO objects into production systems following internal processes. - Retrofit objects as needed. - Address and resolve issues after system refreshes from production systems. Analytics Operations : - Monitor the performance of SAP BW on HANA and system health, including SaaS solutions. - Implement improvements to enhance delivery in all systems (SAP, Azure, Qlik, etc.) - Manage upgrades and releases for SAP, Azure, and Qlik environments. Key Skills & Requirements : Experience : - 3-5 years of hands-on experience with SAP BW and SAP HANA. - Strong expertise in BW and HANA modeling. - Performance Monitoring experience with SAP BW on HANA is required. - Practical experience in Release Management for BW and HANA systems. - Knowledge of Azure DataBricks and Azure DataFactory is an advantage. - Familiarity with SaaS solutions such as Qlik is a plus. - Ability to work autonomously and manage complex systems independently. Language : English (Upper Intermediate or better). Additional Skills (Nice to Have) : - Experience with SLT systems. - Knowledge of Cloud/SaaS solutions like Azure, Databricks, and DataFactory.

Release Manager - SAP BW/HANA Modules - Analytics Operations (5-7 yrs)

Key Responsibilities : - Design, develop, and maintain robust and scalable data pipelines using Python/PySpark and Azure services. - Implement ETL/ELT processes to ingest, transform, and load data from various sources into our data lake and data warehouse. - Automate data pipelines using Azure Data Factory and other orchestration tools. - Design and implement efficient data models to support business requirements. - Optimize data structures for performance and scalability. - Perform data analytics tasks to provide insights and support business decision-making. - Develop reports and dashboards to visualize data and communicate findings. - Leverage Azure cloud services such as Azure Databricks, Azure Data Factory, Azure Data Lake Storage, and Azure DevOps to build and maintain our data platform. - Optimize Azure resources for cost-effectiveness and performance. - Implement and maintain CI/CD pipelines using Azure DevOps to automate code deployment and testing. - Ensure code quality and adherence to best practices. - Implement and maintain data security practices and methods, including API/web service security. - Ensure compliance with data security policies and regulations. - Work with relational databases such as SQL Server, Oracle, or MySQL. - Write and optimize SQL queries for data access and manipulation. - Develop interactive data applications and dashboards using Streamlit or RShiny (preferred). - Collaborate effectively with other engineers, analysts, and stakeholders. - Communicate clearly and concisely, both orally and in writing. - Troubleshoot and resolve data-related issues. - Identify and implement solutions to improve data quality and performance. Required Skills and Qualifications : Experience : 5+ years of experience in data engineering. Technical Skills : - Strong proficiency in Python/PySpark and SQL. - Expertise in Azure cloud services, including Azure Databricks, Azure Data Factory, Azure Data Lake Storage, and Azure DevOps. - Knowledge of CI/CD principles and tools. - Good understanding of API/web service security and data security practices. - Experience working with relational databases (SQL Server, Oracle, MySQL)

Data Engineer - Python/ETL/SQL (5-7 yrs)

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