Job Role: Cloud Security Architect Job Overview: We are seeking an experienced Cloud Security Architect with expertise in Microsoft Azure and Google Cloud Platform (GCP) to design, implement, and manage secure cloud environments. The ideal candidate will focus on security best practices, risk management, compliance, and threat mitigation to protect cloud infrastructure and data.Key Responsibilities:Design and implement secure, scalable cloud architectures across Azure and Google Cloud, ensuring protection against cybersecurity threats.Develop and enforce cloud security frameworks and best practices for zero trust architecture, hybrid, multi-cloud, and cloud-native environments.Manage IAM and PAM (Azure AD, Google Cloud IAM) with strict enforcement of least privilege and conditional access policies.Configure and monitor cloud-native firewalls, including Azure Firewall/Front Door/WAF, Google Cloud Firewall/Armor, NSGs, and VPC security.Establish threat detection, monitoring, and incident response systems using tools like Azure Sentinel, Google Chronicle, and Cloud Logging.Ensure data encryption at rest/in transit, leveraging tools like Azure Key Vault, Google KMS, and Secret Manager.Secure hybrid/multi-cloud connectivity, using Azure ExpressRoute, Google Cloud Interconnect, VPN Gateways, and network segmentation.Ensure compliance with ISO27001, SOC2, GDPR, HIPAA, and other standards; conduct audits and align policies.Build and integrate secure CI/CD pipelines with DevSecOps tools like Azure DevOps, Google Build, and third-party solutions.Protect containers and serverless environments in AKS, GKE, and secure Kubernetes workloads.Secure messaging systems, data platforms, and AI/ML workflows (e.g., Azure Event Hubs, Pub/Sub, BigQuery, Synapse, models/pipelines).Implement application security best practices using tools like Microsoft Defender for App Services and Google Cloud Armor.Drive disaster recovery, business continuity, and governance policies with tools like Azure Policy, Google Organization Policies, and third-party frameworks.Maintain proactive SIEM solutions, logging, and auditing for threat prevention across platforms.Conduct security testing for infrastructure and applications, identifying vulnerabilities and mitigation strategies.Educate teams on threat modelling, secure practices, and emerging security innovations.Assess existing security architectures, identify gaps and recommending improvements.Regularly assess and recommend tools for enhancing cloud security and threat management.Required Skills/Qualifications:10+ years of experience in IT and 5+ years of extensive hands-on experience in cloud security architecture, cloud security engineering, or cybersecurity within Azure and Google Cloud environments.Experience in setting and implementing security architecture strategies and building large-scale, complex enterprise architecture solutions addressing security, availability, and recoveryExpertise in IAM with tools like Azure AD/EntraID, PIM, Google Cloud IAM, SSO, and MFA.Proficiency in securing core services like compute4, databases, storages.Advanced knowledge of firewalls and configurations, including but not limited to Azure Firewall, Google Cloud Firewall, and third-party solutions.Hands-on experience with tools for security monitoring, threat detection, and incident response, such as Azure Security Center, Defender for Cloud, and Google Cloud Security Command Center.Expertise in implementing advanced threat protection tools and strategies to defend against sophisticated cyberattacks.Proficiency in cloud networking and secure connectivity practices, including private endpoints, NSGs, and service connectivity options.Expertise in data encryption, including key management, TLS, and sensitive data masking.Experience with implementing application security, WAF, DDoS protection, and securing APIs and serverless functions.Strong understanding of compliance standards like ISO 27001, SOC 2, GDPR, and PCI DSS, with practical application in cloud security.Skills in automating security workflows using Python, PowerShell, Bash, Terraform, or Bicep.Experience in container security for environments like AKS, GKE, and securing multi-cloud, containerized workloads.Proficiency in securing messaging systems, data platforms, and AI/ML pipelines for business-critical applications.Strong analytical and problem-solving skills to assess vulnerabilities and design effective security solutions.Proficient in developing and refining security blueprints and patterns, ensuring alignment with business and regulatory requirements.Experience with threat modelling and supporting risk management to enhance security posture.Proficient in coordinating security testing for infrastructure and applications, and providing recommendation to resolve/fix vulnerabilities.Excellent communication skills with the ability to communicate technical terms to non-technical audienceExpertise in creating technical documentation, security policies, and governance frameworks.Bachelors or Masters degree in CyberSecurity, Computer Science, Information Technology or a relevant field.Professional certification such as Microsoft Certified Cybersecurity Architect Expert , Google Professional Cloud Security Engineer, Certified Information Systems Security Professional (CISSP).Compensation:Day rate of INR 10,000 to INR 15,000 per day Permanent salary between 20 lakh to 50 lakh, depending on the experience Working from HomeOpportunity to travel onsite

Job Role: Solutions Architect Job Overview: We're looking for a Solutions Architect who will provide technical vision, design, and leadership for software solutions both on-premise and cloud (Azure , Google Cloud) hosted. Key Responsibilities:Design scalable, secure, and high-performing software architectures for both on-premise and cloud (Azure, Google Cloud) deployments.Define technology roadmaps, architectural standards, design patterns, and best practices applicable for software development and full SDLC.Develop architecture for enterprise applications by selecting appropriate frameworks, programming languages, and design patterns.Lead architectural reviews to ensure solutions align with non-functional requirements like performance, security, and compliance.Provide technical direction and leadership to the project, working in line with current industry best practices.Guide development teams in Application development, Microservices, API-first design, and event-driven architectures.Leverage modern development frameworks (Spring Boot, Java, .Net,Node.js, Python, etc.).Optimize application performance using caching, CDN, load balancing, and database optimization techniques.Advocate CI/CD pipelines, Infrastructure as Code (Terraform, Ansible, Bicep), and containerization (Docker, Kubernetes) and automate the build and deployment of emerging applications and services using deployment pipelines.Implement monitoring, logging, and observability using tools like Prometheus, ELK Stack, Azure Monitor, Google Operations Suite.Provide a hands-on technical approach to take ownership of designs from a high-level strategic approach down to low-level design, configuration, and installation detail.Provide participation throughout the project life cycle, defining and refining requirements where required, through design and assisting in the transition through to production environments.Develop, configure, deliver, and integrate applications and services in non-production environments through to Production systems (using deployment pipelines where available), including creation of all technical documentation.Provide support to 2nd line application teams where necessary in order to maintain critical service for applications, infrastructure, and services.Assist in the refinement of development and Operations processes and toolsStay on top of emerging software development trends, tools, and frameworks, suggesting advancements for projects and solutions - includes development, testing, logging/monitoring tooling.Required Skills/Qualifications:10+ years of experience in IT and 5+ years of extensive hands-on experience in software architecture, cloud computing, and enterprise application development. Deep Technical Expertise in :Software Development: Java, Springboot, .NET, Python, JavaScript (React/Angular), Node.js.Cloud Technologies: Azure, Google Cloud (VMs, Containers, Kubernetes, Serverless, Cloud Functions).Databases & Storages: SQL (PostgreSQL, MySQL, SQL Server), NoSQL (MongoDB, Cosmos DB, DynamoDB); Storages(e.g. Blob storage, Cloud storage bucket).Integration: SOAP & REST APIs, GraphQL, Messaging/Event driven technologies (e.g. Kafka, RabbitMQ, Pub/Sub)Low-code/no-code platforms: e.g. Power Platform, Logic Apps On-Premise Tech: VMware, Windows/Linux Servers, Legacy Systems, Enterprise Networking.Strong understanding of security concepts and implementing full secure SDLC.Proficiency in DevOps practices and tooling.Experience migrating legacy applications to cloud-native or modern frameworks.Skilled in system performance tuning and identifying bottlenecks in application design for optimized user experiences.Strong problem-solving skills and ability to create innovative approaches for complex system integrations.Exceptional communication skills to explain technical concepts to both technical and non-technical stakeholders.Ability to manage multiple priorities and lead projects in a fast-paced, dynamic environment.Bachelors or Masters in Computer Science, Software Engineering, or related fieldRelevant certifications in software architecture or cloud platforms.Compensation:Day rate of INR 6,000 to INR 10,000 per day Permanent salary between 20 lakh to 50 lakh, depending on the experience Working from HomeOpportunity to travel onsite

Job Role: Google Cloud AI/ML EngineerWe are seeking an experienced and innovative Google Cloud AI/ML Engineer to design, build, and deploy AI and ML solutions on Google Cloud Platform (GCP). The ideal candidate will be responsible for developing cutting-edge AI/ML solutions to solve complex business problems, leveraging the suite of tools and technologies available in GCP.Key Responsibilities:Design, build, train, and deploy machine learning models using Vertex AI, while integrating Gemini for advanced multi-modal AI capabilities (e.g., text and image data processing).Leverage Google Clouds pre-built AI APIs (Vision AI, Natural Language AI, Translation AI) to accelerate development workflows.Work on end-to-end AI/ML pipelines, from data ingestion to model deployment, using Vertex Pipelines, Cloud Build, and other workflow automation tools.Automate scalable pipelines for end-to-end AI/ML workflows, including data preparation, model training, and monitoring, utilizing tools like Cloud Dataflow and BigQuery ML.Process, clean, and transform data to make it usable for modeling using Dataprep, BigQuery, and Cloud Data Fusion.Build efficient, secure, and scalable data pipelines with tools like Cloud Storage, BigQuery, and Cloud Dataflow to support ML workflows effectively.Experiment with Gemini's advanced generative AI and multi-modal capabilities in Generative AI Studio and Model Garden to unlock innovative AI applications.Use tools such as Vertex AI Workbench, Codey AI, and Gemini to simplify prototyping, streamline debugging, and accelerate AI/ML solution development.Empower development teams by integrating predictive and generative AI insights powered by Gemini into enterprise workflows.Develop generative AI features by leveraging Gemini, PaLM APIs, and Generative AI Studio for business-critical applications.Fine-tune machine learning models to improve accuracy, speed, and scalability, using Vertex AI AutoML and custom training environments.Monitor and retrain AI/ML models to ensure ongoing performance aligned with business needs, leveraging MLOps tools such as Vertex Pipelines, Vertex AI Model Monitoring, and Kubernetes Engine (GKE).Ensure scalability, security, and robustness of AI/ML models through Vertex AI Model Monitoring, ML Metadata Tracking, and other advanced tools.Seamlessly integrate AI/ML models into enterprise systems using Cloud Run, Cloud Functions, and custom APIs.Collaborate with interdisciplinary teams to ensure the successful development and implementation of AI/ML workflows aligned with organizational goals.Stay informed about the latest advancements in generative AI tools, Gemini, PaLM APIs, and GCP AI technologies, applying these innovations to improve solutions and services.Explore emerging AI/ML technologies on Google Cloud to expand organizational capabilities and achieve business objectives.Utilize Geminis advanced features to address challenges that require multi-modal capabilities, generative AI, or large language models (LLMs).Ensure compliance with Responsible AI practices, including fairness, transparency, and ethical considerations, using GCP tools like Explainable AI on Vertex AI and data governance features.Maintain compliance with data security, governance regulations, and organizational standards such as Google Cloud IAM, audit logging, and encryption in transit.Required Skills/Qualifications:3+ years of experience in designing, developing, and deploying AI/ML models on Google Cloud Platform (GCP).Expertise in developing AI/ML solutions using key GCP tools, including Vertex AI, BigQuery ML, Gemini, and Cloud AI APIs like Vision, NLP, and Translation.Proficiency in leveraging Gemini for multi-modal AI applications and integrating generative AI solutions into practical workflows.Strong programming skills in Python, R, or Java, with experience in AI frameworks such as TensorFlow and PyTorch.Knowledge of data engineering tools, such as Cloud Dataflow, BigQuery, Cloud Pub/Sub, and Cloud Data Fusion, for building scalable pipelines.Hands-on experience with Vertex AI AutoML, Vertex Pipelines, and Vertex AI Model Monitoring for model lifecycle management and MLOps implementation.Proficiency in building and deploying ML models in serving environments such as GKE, Cloud Run, and Cloud Functions.Strong understanding of generative AI technologies, including Gemini, PaLM APIs, Codey AI, and Generative AI Studio, for enhanced productivity and AI-powered development.Familiarity with Responsible AI principles, leveraging GCP tools such as Explainable AI and following data fairness and bias management practices.Strong collaboration, communication, and problem-solving skills for working with technical teams and business stakeholders.Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field.Relevant certifications like Google Professional Machine Learning Engineer, Google Cloud Professional Data Engineer.Job Role: Google Cloud AI Solution ArchitectRole Overview: We are looking for a Google Cloud AI Solution Architect with deep expertise in Google Cloud Platform (GCP) services to design and implement AI solutions on Google Cloud. This role requires proficiency in Google Cloud AI/ML tools, AI-powered development frameworks like Codey AI, and strategic AI integrations using Gemini, Generative AI Studio, Vertex AI, and PaLM APIs.Key Responsibilities:Design end-to-end AI/ML solutions using Google Cloud services, including Vertex AI, BigQuery ML, Cloud AI APIs (Vision AI, NLP AI, and Translation AI), and generative AI tools like Generative AI Studio, Gemini, and PaLM APIs, integrating capabilities like Codey AI for rapid prototyping and productivity.Architect scalable, secure, and high-performance AI systems that seamlessly integrate into cloud-native enterprise business applications.Assess business objectives and requirements to determine where AI/ML solutions and multi-modal AI capabilities like those provided by Gemini can deliver maximum value and ROI.Lead the development of AI/ML pipelines, including data preparation, model development, deployment, and monitoring, leveraging tools like Vertex Pipelines and Cloud Build.Integrate AI models into enterprise cloud-based architectures while ensuring security, robustness, and scalability.Implement scalable, efficient data pipelines using BigQuery, Cloud Dataflow, and Cloud Data Fusion for data transformation and preparation in AI/ML workflows.Leverage Geminis advanced multi-modal capabilities (e.g., processing text, images, and other data types) for innovative AI solutions, as well as Vertex AI Prediction for deploying and managing ML models.Provide strategic direction on enterprise AI adoption, aligning Google Cloud AI/ML solutions with organizational needs and using tools like Gemini for cutting-edge multi-modal implementations.Collaborate with data scientists, AI engineers, and other stakeholders to ensure architectural alignment and successful AI/ML solution delivery.Drive innovation by staying informed about Google's evolving AI/ML capabilities, including Generative AI advancements like Gemini and Responsible AI practices.Foster the adoption of LLM-based generative AI tools for enterprise AI development and processes, leveraging both PaLM APIs and Gemini.Advise on MLOps best practices using Vertex AI Pipelines, Cloud Build, and Google Kubernetes Engine (GKE) to automate and optimize model development, monitoring, and lifecycle management.Ensure alignment with compliance standards and data governance policies using GCP tools like Google Cloud IAM, Cloud Audit Logs, and Data Catalog for secure AI architecture.Required Skills/Qualifications:5+ years of experience in designing and implementing AI/ML solutions, with a focus on Google Cloud technologies and enterprise-level deployments.Expertise in architecting AI/ML solutions using Google Cloud AI/ML services, including Vertex AI, BigQuery ML, Gemini, and Cloud AI APIs (Vision AI, NLP AI, Text-to-Speech).Proficiency in leveraging Generative AI tools, such as Gemini, PaLM APIs, Generative AI Studio, and Codey AI, for delivering cutting-edge generative and multi-modal AI solutions.Strong foundation in programming languages such as Python, R, and Java, with hands-on experience in TensorFlow and PyTorch for AI/ML development.Skilled in managing and optimizing AI workflows with tools like Vertex Feature Store, Vertex Experiments, and Vertex AI Model Monitoring.Hands-on experience with data tools such as BigQuery, Cloud Dataflow, Cloud Pub/Sub, and Cloud Storage for data preparation and analytics.Proficiency in deploying and managing scalable AI/ML models using frameworks like Google Kubernetes Engine (GKE) and Cloud Run.Experience with MLOps practices leveraging tools like Cloud Build, Vertex Pipelines, and Vertex Model Registry for CI/CD in AI/ML solutions.Strong knowledge of GCP DevOps practices, including containerization using Docker, orchestration using Kubernetes, and scalable architecture using GKE.Ability to provide strategic guidance on the adoption of generative AI tools like Gemini and PaLM APIs in enterprise-level projects to streamline AI-powered processes.Familiarity with Responsible AI principles, including explainability, bias mitigation, and fairness, leveraging tools like Explainable AI for Vertex AI.Strong problem-solving abilities and a deep understanding of integrating AI into real-world business environments.Excellent collaboration and communication skills to engage with technical and business stakeholders effectively.Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field.Relevant certifications like Google Professional Machine Learning Engineer, Google Cloud Professional Data Engineer, or TensorFlow Developer Certification.Google Cloud Data ArchitectJob Summary We are seeking skilled and motivated Google Cloud Data Architects to join our team. The candidate will have hands-on experience in designing, implementing, and optimizing enterprise-scale data architectures, leveraging the full suite of Google Cloud Platform (GCP) data services. This role is critical for supporting our data-driven projects by ensuring efficient, secure, and scalable data solutions across various platforms.Key Responsibilities • Design and develop scalable, secure, and cost-effective data architectures to support the organization's (including clients') data processing and analytics needs for traditional and AI-driven environments. • Work with Google Cloud data services such as BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Storage, Cloud Spanner, Firestore, and Cloud SQL. • Architect data ingestion, integration, and ETL/ELT strategies. • Design and implement data lakes, data warehouses, and real-time analytics solutions. • Define data governance, security, and compliance frameworks in accordance with organizational policies and industry regulations. • Ensure data accuracy, completeness, and consistency across systems. • Automate data workflows and optimize performance using Cloud Composer (Apache Airflow), Cloud Functions, or Python. • Monitor and troubleshoot data pipeline performance issues to identify opportunities for optimization. • Collaborate with data engineers, data scientists, analysts, and business stakeholders to define data requirements. • Manage and enhance data integration across hybrid and multi-cloud environments to ensure seamless data flow. • Implement best practices for data security, privacy, and access controls. • Stay updated with the latest advancements in Google Cloud data technologies and recommend innovative solutions.Required Skills/Qualifications • Proven experience working with Google Cloud data services, including (but not limited to) BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Storage, Cloud SQL, Cloud Spanner, Firestore, and Pub/Sub. • Strong expertise in data modeling, data governance, data security, and database design principles. • Experience in architecting scalable and high-performance data solutions on Google Cloud. • Expertise in big data technologies such as Dataproc (Hadoop/Spark) and real-time data processing (Pub/Sub, Dataflow, Kafka). • Proficiency in SQL, Python, or Java for data processing and automation. • Experience with Looker or Data Studio for advanced data visualization and reporting. • Strong problem-solving skills and the ability to design robust, cost-effective, and scalable data architectures. • Knowledge of Vertex AI, ML Ops best practices, and ML model data pipelines. • Experience with data lakehouse architectures and hybrid/multi-cloud strategies. • Strong communication and leadership skills, with the ability to engage both technical and non-technical stakeholders. • Familiarity with DevOps (CI/CD for data pipelines) and Infrastructure as Code (Terraform, Deployment Manager, or Cloud Build). • Bachelors/Masters degree in Computer Science, Information Technology, or a related field. • Google Cloud Certifications such as Professional Data Engineer or Professional Cloud Architect is preferred.Google Cloud Data EngineerJob Summary We are seeking skilled and motivated Google Cloud Data Engineers to join our team in associate roles. The candidate will have hands-on experience in developing, implementing, and optimizing data pipelines, leveraging the full suite of Google Cloud Platform (GCP) data services. This role is critical for supporting our data-driven projects by ensuring efficient, secure, and reliable data solutions and flows across various platforms.Key Responsibilities • Develop, maintain, and optimize scalable data pipelines to support the organizations (including clients') data processing and analytics needs for traditional and AI-driven environments. • Work with Google Cloud data services such as BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Storage, Cloud SQL, Cloud Spanner, and Firestore. • Design data ingestion, integration, and ETL/ELT strategies. • Design and implement ETL/ELT processes to extract, transform, and load data from diverse sources into centralized data repositories. • Design and implement data lakes, data warehouses, and real-time analytics solutions. • Ensure data accuracy, completeness, and security within pipelines and storage. • Maintain the quality of structured and unstructured data across platforms. • Automate data workflows using technologies like Cloud Functions, Cloud Composer (Apache Airflow), or Python. • Monitor and troubleshoot performance issues to identify opportunities for optimization. • Collaborate with data scientists, architects, analysts, and business stakeholders. • Manage and enhance data integration across platforms to ensure uninterrupted flow of information. • Perform data cleansing, transformation, and enrichment techniques to maintain high-quality datasets. • Implement and enforce data governance, security, and privacy practices in compliance with organizational and regulatory standards. • Stay updated with the latest advancements in Google Cloud data technologies and recommend innovative solutions.Required Skills/Qualifications • Proven experience working with Google Cloud data services, including (but not limited to) BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud SQL, Cloud Storage, Firestore, and Pub/Sub. • Solid understanding of data modeling, data governance, data security & privacy, and database design principles. • Experience with designing data architectures supporting AI/ML workloads and big data technologies like Dataproc (Hadoop/Spark) is a plus. • Proficiency in SQL and Python for data processing and automation. • Experience with Looker or Data Studio for data visualization and reporting is a plus. • Strong problem-solving skills with the ability to translate complex data into clear insights. • Understanding of data warehousing, lakehouse architectures, and real-time analytics. • Knowledge of Vertex AI, ML Ops practices, and ML model data requirements. • Experience with preparing and transforming data for ML model training, including Vertex AI integration with BigQuery and Dataproc is a plus. • Strong communication skills, with the ability to engage both technical and non-technical stakeholders. • Familiarity with DevOps (CI/CD for data pipelines) and Infrastructure as Code (Terraform, Deployment Manager, or Cloud Build). • Bachelors/Masters degree in Computer Science, Information Technology, or a related field. • Google Cloud Certifications such as Professional Data Engineer is preferred.Compensation:Day rate of INR10,000 to INR15,000 per day Permanent salary between 20 lakh to 50 lakh, depending on the experience Working from HomeOpportunity to travel onsite

Key Responsibilities:Manage and maintain a multi-master Kubernetes cluster with 3 master and worker nodes.Ensure high availability, performance, and security of the cluster.Monitor and troubleshoot MinIO, HashiCorp Vault, Prometheus, and ArgoCD within the cluster.Handle NFS storage configuration and management to ensure persistent storage for applications.Manage cluster networking, service discovery, and ingress configurations.Set up RBAC policies, security configurations, and access control mechanisms.Optimize cluster resource utilization and ensure autoscaling where necessary.Develop disaster recovery and backup strategies for Kubernetes workloads.Automate infrastructure provisioning using Helm charts.Debug and resolve container runtime, pod scheduling, and performance issues.Collaborate with DevOps teams to streamline CI/CD pipelines.Keep the Kubernetes cluster updated and patched as per best practices.Required Skills & Qualifications:3+ years of hands-on experience in Kubernetes administration.Expertise in managing multi-master Kubernetes clusters.Strong knowledge of MinIO, HashiCorp Vault, Prometheus, and ArgoCD.Experience in managing NFS storage in Kubernetes.Proficiency in Helm, Kustomize, and Kubernetes Operators.Experience with networking in Kubernetes (Calico).Strong understanding of RBAC, security best practices, and secrets management.Familiarity with monitoring, logging, and alerting tools.Experience in containerization and CI/CD automation.Scripting experience in BashWorking knowledge of Resource automation (Helm).Ability to debug Kubernetes workloads, pods, and performance issues.Preferred Qualifications:Certified Kubernetes Administrator (CKA) or CKS.Knowledge of service meshes like Istio or Linkerd. Experience in scaling large Kubernetes deployments. Role & responsibilities Compensation:Day rate of INR 6,000 to INR 8,000 per day Working from HomeOpportunity to travel onsite

Job Role: Cloud Architect Job Overview: We are seeking a highly skilled and experienced Cloud Architect with expertise in both Microsoft Azure and Google Cloud Platform (GCP) to design, implement, manage and optimise advanced cloud solutions across multiple environments. Key Responsibilities:Design and implement scalable, secure, resilient and cost-effective cloud solutions on Azure and Google Cloud Platform, ensuring alignment with business objectives and technical requirements.Develop cloud adoption strategies, migration plans, design patterns and best practices for multi-cloud and hybrid environments.Architect hybrid and multi-cloud environments that support diverse workloads, leveraging tools for centralized management and governance.Lead end-to-end cloud migration projects, assessing existing environments and creating migration strategies.Evaluate and recommend cloud solutions based on business needs, cost, and performanceDefine networking, security and identity management solutions in Azure and GCP.Implement best practices for cloud security and compliance, maintain e maintain cloud governance frameworks to ensure operational excellence, cost optimization, and compliance across Azure and Google Cloud environments.Ensure high availability, disaster recovery, and data protection strategies.Design and deploy cloud infrastructure using technologies such as Terraform, ARM Templates, and Cloud Deployment Manager for Infrastructure as Code (IaC).Implement CI/CD pipelines and automate cloud infrastructure and code deployment .Implement containerized and microservices architectures using Kubernetes(AKS, GKE) and Docker.Design and manage data pipelines and analytics workflows .Integrate AI/ML models into cloud architectures .Leverage Azure Functions and Cloud Functions to build serverless solutions that enhance application scalability and performance.Ensure high availability, disaster recovery, and business continuity across cloud platforms using services like Azure Site Recovery, Google Cloud Backup and DR, and multi-region deployment strategies.Optimize cloud performance, cost, and resource utilization using Azure tools like Azure Cost Management and GCP tools like Cloud Monitoring and Recommender API.Maintain security compliance across both environments using Azure Security Center/Defender, Google Cloud Security Command Center, IAM & Encryption best practices, and automated policy enforcement.Guide application modernization efforts by leveraging Azure App Service, Cloud Run, and cloud-native databases such as Azure SQL and Cloud Spanner.Develop and maintain architecture diagrams, system specifications, and technical documentation.Serve as a trusted advisor, collaborating with business units, project teams, and external partners to drive technology adoption and optimization.Stay informed about industry trends, emerging technologies in Azure and Google Cloud, and provide recommendations to improve cloud strategies.Required Skills/Qualifications:10+ years of experience in IT and 5+ years of extensive hands-on experience in Solutions Architect or similar role within Azure and Google Cloud.Expertise in cloud-native, multi-cloud and hybrid architectures.Strong knowledge of core cloud services, including compute, networking, IAM, storage, and databases across both platforms and corresponding security best practices.Expertise in firewalls, security rules, and network access control, with practical knowledge of Azure Firewall/WAF/FrontDoor, Google Cloud Firewall/Cloud Armor, and third-party integrations where needed.Proficiency in gateway technologies, such as Azure VPN Gateway, ExpressRoute, Google Cloud VPN, and Cloud Interconnect for hybrid connectivity.Strong knowledge of load balancing and global traffic management services, such as Application Load Balancer, Azure Application Gateway, and Google Cloud Load BalancingHands-on experience with containerized and microservices architectures using AKS and GKE, alongside networking tools like Kubernetes ingress controllers.Deep understanding of monitoring traffic and troubleshooting network performance using tools like Azure Monitor, Network Watcher, Google Cloud Monitoring, and Cloud Trace.Proficiency with Infrastructure as Code (IaC) tools like Terraform, ARM Templates, and Cloud Deployment Manager for infrastructure automation and deployment.Familiarity with building scalable data pipelines and big data solutions using services like Azure Data Factory, Azure Synapse Analytics, BigQuery, and Cloud Dataflow.Familiarity with key Data Analytics and Machine Learning/AI technologies on both platforms.Proficiency in designing serverless solutions using Azure Functions and Cloud Functions to meet diverse application needs.Expertise in messaging and streaming platforms such as Azure Event Hubs, Google Pub/Sub, Apache Kafka, Azure Service Bus, and Event Grid.Expertise in application modernization efforts by leveraging Azure App Service, Cloud Run, and cloud-native databases such as Azure SQL and Cloud Spanner.Experience with DevOps practices and tools such as Azure DevOps, Pipeline, Cloud Build, and GitHub Actions for seamless deployment.Strong programming skills in Python, PowerShell, Go, or Bash, and experience in scripting and automation.Knowledge of cloud security and compliance concepts, including IAM policy configuration, Virtual Private Network (VPN) solutions, access control,encryption protocols, and advanced threat protection.Excellent problem-solving and communication skills, with the ability to interact with both technical teams and business stakeholders.Understanding of industry frameworks such as TOGAF.Bachelors or Masters degree in Computer Science, Information Technology, or a related field.Certifications Microsoft Azure Solutions Architect Expert and Google Professional Cloud Architect required. Any other relevant certification is a plus.Compensation:Day rate of INR 10,000 to INR 15,000 per day Permanent salary between 20 lakh to 50 lakh, depending on the experience Working from HomeOpportunity to travel onsite

We are seeking a highly skilled SAP Technical and Functional Consultant to join our team. The ideal candidate will possess expertise in both technical and functional aspects of SAP modules, enabling businesses to optimize and enhance their SAP solutions. This position will require collaboration with cross-functional teams, understanding business requirements, and delivering innovative SAP solutions that align with organizational goals.SAP Financial Accounting (FI)SAP Materials Management (MM)SAP Human Resources (HR)SAP Sales and Distribution (SD)SAP Plant Maintenance (PM)SAP Production Planning (PP)Job Description: SAP Technical and Functional ConsultantAbout the Role:We are seeking a highly skilled SAP Technical and Functional Consultant to join our team. The ideal candidate will possess expertise in both technical and functional aspects of SAP modules, enabling businesses to optimize and enhance their SAP solutions. This position will require collaboration with cross-functional teams, understanding business requirements, and delivering innovative SAP solutions that align with organizational goals.Key Responsibilities:Functional Analysis and Configuration Work closely with stakeholders to understand business requirements and translate them into actionable SAP solutions. Customize and configure SAP modules in line with business needs. Technical Implementation Develop and implement customized technical solutions within the SAP environment. Design and execute enhancements, reports, interfaces, and workflows using ABAP or other relevant tools. Ensure seamless integration with other applications and systems where necessary. System Maintenance and Support Provide ongoing support, troubleshooting, and performance optimization for SAP systems and applications. Perform system upgrades and ensure compatibility with business processes. Collaboration with Teams Liaise with functional teams to evaluate business performance and identify process improvement opportunities using SAP features. Work with technical teams to integrate SAP with other technologies or third-party applications. Training and Documentation Prepare user manuals and training materials for end users. Conduct training sessions and support end-users in utilizing SAP functionalities effectively. Required Skills and Qualifications:Bachelors degree in Computer Science, Information Technology, Business Administration, or a related field. 10+ years of experience in SAP consulting, including both functional and technical roles. Proficiency in SAP modules (mention specific modules your company works with, such as SAP FI/CO, SAP MM, SAP SD, SAP HCM, SAP PP, etc.). Hands-on experience with SAP development tools, including ABAP programming, Fiori, and SAP integration technologies (IDOCs, BAPIs, RFCs, etc.). Strong understanding of business processes and mapping them into SAP solutions. Excellent problem-solving skills with a strong analytical mindset. Strong communication and interpersonal skills for interacting with team members and stakeholders. Knowledge of SAP S/4HANA is a plus.Compensation:Day rate of INR 10,000 to INR 15,000 per day Permanent salary between 20 lakh to 50 lakh, depending on the experience Working from HomeOpportunity to travel onsite

Job Role: Azure AI/ML EngineerRole Overview: We are seeking an experienced and innovative Azure AI/ML Engineer to design, build, and deploy AI and ML solutions on Microsoft Azure. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge AI/ML solutions to solve complex business problemsKey Responsibilities:Design, build, train, and deploy machine learning models using Azure Machine Learning and integrate solutions with Copilot and Gemini-based technologies.Leverage pre-built capabilities of Azure Cognitive Services and tools like Microsoft Copilot AI for enhancing efficiency in development workflows.Work on end-to-end AI/ML pipelines, from data ingestion to production-ready deployment.Automate scalable pipelines for end-to-end AI/ML workflows, including data preparation, model training, and monitoring.Process, clean, and transform data to make it usable for modeling.Leverage Azure Data Factory, Azure Synapse Analytics, and Azure Databricks for data preparation.Ensure data pipelines are efficient, secure, and optimized for model deployment.Use advanced tools like Gemini for multi-modal data exploration to discover insights and inform model decisions.Utilize Microsoft Copilot as part of your workflow to automate code suggestions, simplify debugging, and accelerate solution prototyping.Empower development teams by integrating AI powered insights into predictive modeling and decision-making frameworks.Develop solutions integrating generative AI features powered by tools like Azure OpenAI with business workflows.Fine-tune machine learning models to improve accuracy, speed, and scalability.Use Copilot's suggestions and Gemini AI analytics to maximize prediction accuracy and efficiency where applicable.Monitor and retrain AI/ML models to maintain performance as business needs evolve.Ensure scalable, robust, and adaptive AI/ML models with MLOps pipelines on Azure Kubernetes Services (AKS) or Azure DevOps platforms.Seamlessly integrate AI/ML models into business applications.Collaborate with cross-disciplinary teams on solution delivery. Stay informed about the evolving capabilities of Copilot and Gemini and apply them to improve workflows and services.Explore new Azure AI/ML tools and technologies to enhance organizations capabilities.Use generative AI, large language models (LLMs), and other advanced techniques to address unique challenges.Experiment with large language models (LLMs) and advanced AI algorithms to push boundaries on AI-driven innovation.Ensure AI solutions follow best practices for responsible AI, including fairness, transparency, and ethical considerations.Maintain compliance with data security and governance standards in AI applications.Required Skills/Qualifications:3+ years of experience working on AI/ML projects, with a focus on deploying solutions in Azure ecosystems.Proficiency in Python, R, or Java for AI/ML model development, with advanced usage of Microsoft Copilot AI for boosting productivity during coding and debugging.Hands-on knowledge of Azure AI Services, including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks for AI initiatives.Hands-on experience with AI-powered development tools (Copilot, Gemini AI, Azure OpenAI.Strong understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and deployment best practices.Expertise in data processing and pipeline-building tools like Azure Data Factory and Azure Synapse Analytics.Familiarity with leveraging Gemini AI for predictive analytics, actionable insights, and data visualization.Competency in building and handling CI/CD processes using Azure DevOps or equivalent platforms optimized with Copilot integration.Strong knowledge or background in deploying containerized AI applications using Docker, Kubernetes, and tools like Azure AKS.Ability to leverage Copilot for rapid prototyping, testing, and solving repetitive development tasks.Skilled in experimenting and scaling models with Gemini AI, focusing on multi-modal applications and next-gen analytics.Strong problem-solving ability with a demonstrated focus on real-world AI challenges.Solid knowledge of Azure AI best practices, from model selection to monitoring.Previous experience with responsible AI principles and implementing ethical guidelines in AI systems is a plus.Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Information Technology or a related field.Relevant professional certifications like Azure AI Engineer Associate, Azure Data Scientist Associate, Microsoft Certified Solutions Expert in Data Management and Analytics.Job Role: Azure AI Solution ArchitectRole Overview: We are looking for an Azure AI Solution Architect with deep expertise in Microsoft Azure services to design and implement AI solutions on Microsoft Azure. This role requires proficiency in Azure AI/ML, AI-powered development tools like Copilot, and strategic AI integrations using Google Gemini and OpenAI.Key Responsibilities:Design end-to-end AI/ML solutions using Azure services, including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure OpenAPI, while incorporating Copilot and Gemini capabilities into design workflows and development as appropriate.Architect scalable, secure, and high-performance AI systems that integrate seamlessly with business applications.Assess business objectives and requirements to determine where AI/ML can generate the most value and return on investment.Lead the development of AI/ML pipelines, including data preparation, model development, and production deployment, leveraging Copilot for development acceleration.Integrate AI models into cloud-based enterprise architectures while maintaining system integrity and scalability.Implement scalable data pipelines using Azure Synapse Analytics, Data Factory, and Microsoft Fabric.Apply Gemini AI for advanced analytics, feature engineering, and ensuring alignment with business goals.Provide input on AI strategy and roadmap, aligning Azure AI capabilities with industry-specific needs.Collaborate with data scientists, AI engineers, and other stakeholders to ensure architectural alignment and successful solution delivery.Explore the evolving potential of Copilot and Gemini, scaling their integration into AI/ML solutions and workflows.Foster innovation by identifying emerging Azure AI services and tools that can enhance business processes.Advise on MLOps practices using Azure DevOps and Azure Kubernetes Services (AKS) to ensure smooth model lifecycle management and to automate the monitoring and continuous improvement of deployed AI models.Ensure the highest standards of Responsible AI and ensure compliance with data governance, data privacy standards, and Azure-specific best practices.Required Skills/Qualifications:5+ years of experience in designing and implementing AI solutions, with a focus on Azure ecosystems.Expertise in architecting AI/ML solutions using Azure services like Azure Cognitive Services, Azure Machine Learning, Azure OpenAI, and Azure Functions.Strong foundation in programming languages like Python, R, and Java.Proficient in designing secure, scalable, and high-performing AI systems.Skilled in managing and optimizing AI-driven workflows combining multiple tools.Hands-on experience with data tools like Azure Data Lake Storage, Azure Synapse Analytics, and Azure Data FactoryHands-on experience with Microsoft Copilot capabilities, including use in prototyping and debugging workflows.Proficiency in leveraging Gemini AI for data analysis, multi-modal insights, and large-scale AI experimentation.Deep understanding of machine learning algorithms, artificial intelligence frameworks (e.g., TensorFlow, PyTorch), and model interpretability.Knowledge of DevOps/MLOps practices using tools like Azure DevOps, Azure Kubernetes Service (AKS), and Docker.Ability to provide strategic guidance on the adoption of emerging tools like Copilot and Gemini in enterprise projects.Familiarity with generative AI technologies, including large language models and GPT-based solutions.Strong problem-solving skills with a focus on addressing real-world business requirements.Strong collaboration and communication skills, enabling seamless interaction with both technical teams and business stakeholders.Understanding of ethical AI practices to design equitable, trustworthy, and compliant AI systems.Bachelors or Masters degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field.Relevant certifications like Microsoft Azure Solutions Architect Expert, Azure Data Scientist Associate, Azure AI Engineer Associate.Azure Data EngineerJob SummaryWe are seeking skilled and motivated Azure Data Engineers to join our team in associate roles. The candidate will have hands-on experience in developing, implementing, and optimising data pipelines, leveraging the full suite of Azure data services. This role is critical for supporting our data-driven projects by ensuring efficient, secure, and reliable data solutions and flows across various platforms.Key ResponsibilitiesDevelop, maintain, and optimize scalable data pipelines to support organizations (including clients) data processing and analytics needs- for traditional and AI-driven environments.Work with Azure data services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Cosmos DB and Azure SQL Database.Design data ingestion, integration, and ETL/ELT strategies. Design and Implement ETL/ELT processes to extract, transform, and load data from diverse data sources into centralized data repositories.Design and Implement data lakes, data warehouses, and real-time analytics solutionsEnsure data accuracy, completeness, and security within pipelines and storage.Ensure the quality of structured and unstructured data is maintained.Automate data workflows using technologies like Azure Functions, Logic Apps, or Python.Monitor and troubleshoot performance issues to identify opportunities for optimization.Collaborate with data scientists, architects, analysts and business stakeholders.Manage and enhance data integration across platforms to ensure uninterrupted flow of information.Perform data cleansing, transformation, and enrichment techniques to maintain high-quality datasets.Implement and enforce data governance, security and privacy practices in compliance with organizational & regulatory standards and industry best practices.Stay updated with the latest advancements in Azure data technologies and recommend innovative solutions.Required Skills/QualificationsProven experience working with Azure data services, including (but not limited to) Azure Data Factory, Azure DataBricks, Azure Synapse Analytics, Azure DataLake, Azure SQL Database, Azure Blob Storage.Solid understanding of data modelling, data governance, data security & privacy and database design principles.Experience with designing data architectures supporting AI/ML workloads and big data technologies like Databricks, Dataproc, Hadoop or Apache Spark, Microsoft Fabric is a plus. Proficient with programming languages such as Python or SQL.Experience with Power BI for visualization and reporting is a plus.Strong problem-solving skills with the ability to translate complex data into clear insightsUnderstanding of data modeling, warehousing, and lakehouse architecturesKnowledge of Azure Machine Learning, ML Ops practices and ML model data requirementsExperience with preparing and transforming data for ML model training, Azure ML integration with Synapse and DataBricks is a plusStrong communication skills, with the ability to engage both technical and non-technical stakeholders.Familiarity with DevOps (CI/CD for data pipelines) and Infrastructure as Code (IaC).Bachelors/Masters degree in Computer Science, Information Technology or a related field.Microsoft Azure Certifications such as Azure Data Engineer Associate.Azure Data ArchitectJob SummaryWe are seeking talented and experienced Azure Data Architects to join our team in associate roles. The chosen candidate will be responsible for designing and overseeing scalable, secure, high-performance data solutions. This role will involve working closely with stakeholders to understand business goals and organisation/client requirements, architecting modern data platforms on Azure, and ensuring alignment with best practices in data architecture, governance, and integration.Key ResponsibilitiesDesign and implement scalable, performant, and secure data architectures that meet business , technical and non-functional requirements.Define and design data models for transactional systems, operational data stores (ODS), and analytical environments.Leverage Azure services such as Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, Azure DataLake, Azure Data Factory, Azure DataBricks and Azure Cosmos DB for strategic data solution development.Collaborate with cross-functional teams to understand current and future data needs, aligning architecture to support these goals.Establish and enforce data governance, security and compliance standards, ensuring data integrity, quality, and security across all systems.Architect real-time and batch data processing solutions.Optimize and modernize existing data infrastructure to enhance efficiency and scalability.Provide technical leadership and mentorship to data engineers and other team members.Stay updated on advancements in cloud technologies, particularly in the Azure ecosystem, and propose solutions that benefit the organization.Develop best practice frameworks for data modeling, storage, integration, and analytics.Create architecture documentation, including data flow diagrams, technical designs, and roadmaps.Required Skills/QualificationsExtensive hands-on experience designing and implementing Azure-based data platforms and creation of corresponding architecture documentation, including data flow diagrams, technical designs, and roadmaps.Expertise in data modeling, including conceptual, logical, and physical schemas.Strong knowledge and expertise of Azure services like Azure Synapse, Azure Data Factory, Azure DataBricks, Azure DataLake and Azure SQL.Knowledge of Azure Machine Learning, ML Ops practices and ML model data requirements.Experience with AI/ML workloads and big data technologies like Databricks, Dataproc, Hadoop or Apache Spark, Microsoft Fabric is a plus.Solid understanding of cloud security practices like encryption/RBAC and compliance standards like GDPR/HIPAA.Proficiency in working with data governance tools, policies, and frameworks.Proficiency in DevOps(CI/CD pipelines) and programming languages like SQL, Python, and Infrastructure as Code.Experience with Power BI for visualization and reporting is a plus.Experience with preparing and transforming data for ML model trainingBachelors/ Masters degree in Computer Science, Information Systems, Data Architecture or a related field.Microsoft Azure Certifications such as Azure Data Engineer Associate, Azure Solutions Architect Expert.Compensation:Day rate of INR10,000 to INR15,000 per day Permanent salary between 20 lakh to 50 lakh, depending on the experience Working from HomeOpportunity to travel onsite

Job Role: Google Workspace Engineer Role Overview: We are seeking a skilled and experienced Google Workspace Engineer to work in an associate role. You will be responsible for the design, implementation, deployment, configuration, administration, optimisation, maintenance and support of Google Workspace services. You will play a critical role in ensuring customers gain maximum value from Google Workspace services, driving adoption, efficiency, and innovation.Key Responsibilities:Design, develop, configure, manage, optimise, maintain and support Google Workspace solutions/services, including migration and integration with third-party tools.Provide expert-level technical support, diagnosing and resolving complex issues related to Google Workspace products such as Gmail, Google Drive, and Google Meet.Manage users, groups, and access permissions through Google Admin Console and Google Cloud Identity.Implement security policies, DLP, 2-Step Verification, and device management.Improve technical workflows through scripting and automation, ensuring performance, scalability, and smooth operations.Ensure data retention, compliance, and recovery policies are in place.Act as a trusted technical advisor, helping customers optimise Workspace features and align solutions with their business goals.Collaborate with sales and other cross teams to deliver technical demonstrations, product briefings, and proof-of-concept (PoC) solutions for prospective customers.Provide training and documentation to customers and internal teams, fostering a more profound understanding and adoption of Workspace features. Required Skills/Qualifications:3+ years of experience in roles such as Workspace engineer or specialist.Proven track record of implementing or supporting Google Workspace solutions within an enterprise environment.Experience with Google Workspace(Gmail, Drive, Calendar, Meet, Docs, Sheets, Slides), Google Apps Script, APIs, and automation tools.Expertise in scripting or programming languages (e.g., Python, Shell, or Java) to automate processes and solve recurring challenges.Strong Knowledge of security best practices, endpoint management, compliance policies, Gmail security settings, and Google Vault.Familiarity with OAuth, SAML, and identity federation.Provide training and documentation to customers and internal teams, fostering a more profound understanding and adoption of Workspace features.Bachelors degree in IT, Computer Science, or a related technical field.Relevant Google Cloud Certifications are a strong plus.Job Role: Google Workspace Architect Role Overview: We are looking for a highly experienced and innovative Google Workspace Architect to lead the design, development, and implementation of large-scale Google Workspace solutions. This senior-level role requires strategic thinking, technical expertise, and the ability to guide customers through complex migrations and integrations. As a Workspace Architect, you will play a key role in aligning technical solutions with business goals, ensuring security, scalability, and optimal performance in cloud-based collaboration environments.Key Responsibilities:Design and develop end-to-end Google Workspace architectures tailored to meet organisational needs, ensuring scalability, security and long-term sustainability.Work with stakeholders to understand business requirements and translate them into robust, secure, and efficient Workspace solutions.Lead large-scale migrations to Google Workspace environments, ensuring minimal downtime and seamless user adoption.Build solutions that integrate Workspace tools with other cloud and on-premises platforms, including third-party systems.Connect Google Workspace with identity providers (Okta, Azure AD, Google Cloud Identity) and enterprise applications.Leverage Google Apps Script, APIs, and third-party automation tools to enhance workflows.Define and enforce security policies, including zero-trust architecture, data loss prevention (DLP), and Google Vault retention policies.Establish governance frameworks for managing Google Workspace at scale.Conduct technical workshops and consultations to educate internal and external teams on Google Workspace technologies, best practices, and security frameworks.Act as the technical lead in customer engagements, providing expert insights and strategies to achieve customer goals with Workspace implementations.Optimize Workspace environments for security, compliance, and performance, proactively identifying potential risks and resolving complex issues.Collaborate with cross-functional teams and customer success teams, to improve existing solutions and advocate for new features.Stay updated on emerging technologies and trends to anticipate future customer challenges and drive innovation.Required Skills/Qualifications:7+ years of Google Cloud experience in technical roles.Comprehensive understanding of cloud architecture, particularly hybrid and multi-cloud environments.Deep expertise in the Google Workspace suite, including Gmail, Google Drive, Google Meet, and Admin Console workflows.Proficiency in scripting and automation tools such as Python, PowerShell, or Bash for improved operational efficiency.Strong knowledge of API integrations and system interoperability, including RESTful APIs.Familiarity with enterprise IT environments, including identity management systems, directory services (LDAP, Active Directory), and security protocol.Strong knowledge of IAM, OAuth, SAML, and identity federation.Excellent problem-solving skills, with the ability to troubleshoot configuration, network, and service performance issues.Exceptional verbal and written communication skills to explain complex technical solutions effectively to diverse audiences.Strong leadership and project management skills to oversee small-medium-large-scale implementations and cross-team collaborations.Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related field.Certifications such as Google Professional Collaboration Engineer and Google Cloud Certified - Professional Cloud Architect are highly desirable.Compensation:Day rate of INR10,000 to INR15,000 per day Permanent salary between 20 lakh to 50 lakh, depending on the experience Working from HomeOpportunity to travel onsite

Job Role: Azure Modern Workplace Architect Job Overview: The Azure Modern Workplace Architect is responsible for designing, strategizing, managing, maintaining and leading the implementation of Microsoft 365 and Azure-based modern workplace solutions. This is an associate role primarily focusing on productivity, security, hybrid collaboration, and automation to enable secure, scalable, and AI-driven work environments.Key Responsibilities:Architect end-to-end Modern Workplace solutions using Microsoft 365, Azure Virtual Desktop (AVD), Windows 365, Intune, and Microsoft security tools .Design, develop, implement and administer scalable and secure Azure Modern Workspace solutions based on organizational needs.Design and implement Zero Trust security with Microsoft Entra ID (Azure AD), Defender, and Purview. Architect Conditional Access policies, MFA, and role-based access control (RBAC) for identity security.Architect Modern Device Management (MDM/MAM) strategies using Intune and Windows Autopilot.Optimize identity, device management, and endpoint security using Intune & Windows Autopilot.Design and implement Microsoft 365 solutions covering Microsoft Teams, Sharepoint, OneDrive, ExchangeOnline, PowerPlatform (Power Automate, Power Apps, PowerBI.Define digital workplace strategies integrating Copilot AI, Power Automate, and intelligent automation.Lead automation and AI integration with Power Platform and Microsoft Copilot.Lead the migration of legacy systems into Azure Modern Workspace, ensuring data accuracy and minimal disruptions.Define and oversee hybrid work and digital transformation strategies.Document architecture designs, deployment processes, and best practices to support long-term scalability.Drive compliance, data governance, and risk mitigation strategies.Oversee compliance frameworks, including data loss prevention (DLP), eDiscovery, and encryption policies.Collaborate with cross-functional teams to ensure Azure solutions integrate with existing systems and meet business requirements.Required Skills/Qualifications:6+ years of experience with Azure and M365 environments, focusing on architectural design and administration.Deep expertise in Microsoft 365 applications(Exchange, Teams, SharePoint, OneDrive, Power Platform), Entra ID (Azure AD), Intune, Defender, AVD, and Windows 365.Experience in Modern Endpoint Management Intune, Autopilot, Windows 365, AVD.Advanced understanding of Azure and M365 architecture, networking, identity & security and user management.Proficiency in integrating M365 capabilities with Azure for improved collaboration and productivity.Expertise in hybrid collaboration, security frameworks, and cloud governance.Experience in enterprise automation using Power Platform and AI-driven solutions.Hands-on experience with scripting and automation using PowerShell and Azure CLI .Bachelors degree in computer science, Information Technology, or a related field.Certifications such as Microsoft Certified Azure Administrator Associate and Microsoft 365 Certified Enterprise Administrator Expert are highly desirable.-----------------------------Job Role: Azure Modern Workplace EngineerJob Overview: The Azure Modern Workplace Engineer is responsible for the deployment, configuration, and support of modern workplace solutions built on Microsoft 365 (M365) and Azure. This role focuses on end-user productivity, security, collaboration tools, and endpoint management, ensuring a seamless hybrid work experience.Key Responsibilities:Deploy , manage, support Azure Virtual Desktop (AVD), Windows 365, Microsoft 365(Teams, Sharepoint, OneDrive, ExchangeOnline, PowerPlatform).Deploy and manage Intune-based Modern Device Management (MDM) solutions.Configure Windows Autopilot, Windows 365 (Cloud PC), and Azure Virtual Desktop (AVD).Implement security policies for device compliance, application control, and endpoint protection.Configure enterprise collaboration tools, including hybrid communication.Secure and monitor environments with Microsoft Defender, Sentinel, and Conditional Access.Support compliance initiatives by configuring data loss prevention (DLP), encryption, and security policies.Develop and enhance M365 security configurations.Troubleshoot and resolve issues.Support compliance initiatives by configuring data loss prevention (DLP), encryption, and security policies.Required Skills/Qualifications:4+ Hands-on experience with M365 and Azure Workplace environments.Expertise in Microsoft 365 applications(Exchange, Teams, SharePoint, OneDrive, Power Platform), Entra ID (Azure AD), Intune, Defender, AVD, and Windows 365.Strong development skills using Power Platform, Azure Logic Apps, and Microsoft Graph APIs for M365 enhancements.Proficiency in automating and securing Azure and M365 environments to meet operational and regulatory needs.Advanced knowledge of enterprise collaboration, endpoint security, and governance policiesAdvanced knowledge of cybersecurity principles, Zero Trust security modelsExperience in Modern Endpoint Management Intune, Autopilot, Windows 365, AVD.Proficiency in integrating M365 capabilities with Azure for improved collaboration and productivity.Expertise in hybrid collaboration, security frameworks, and cloud governance.Hands-on experience with scripting and automation using PowerShell and Azure CLI .Bachelors degree in computer science, Information Technology, or a related field.Certifications such as Microsoft Certified Azure Administrator Associate , Microsoft 365 Certified Enterprise Administrator Expert, Microsoft Certified Security, Compliance, and Identity Fundamentals or Power Platform Developer Associate are highly desirable.Compensation:Day rate of INR10,000 to INR15,000 per day Permanent salary between 20 lakh to 50 lakh, depending on the experience Working from HomeOpportunity to travel onsite

Job Description: Microsoft Dynamics 365 Business Central (ERP and CRM) OpportunitiesPositions available:Functional ConsultantTechnical ConsultantSolution ArchitectJob Overview:We are seeking experienced and talented consultants to drive the design, implementation, customization, integration, and optimization of Microsoft Dynamics 365 Business Central-ERP & CRM Solutions. We are hiring for three distinct roleseach critical to driving digital transformation for our clients. If you have a passion for innovative business solutions and a proven track record in your area of expertise, wed love to hear from you.Functional ConsultantKey Responsibilities:Collaborate with stakeholders to gather and analyze business requirements across finance, supply chain, sales, and customer service.Map current processes to Microsoft Dynamics 365 Business Central functionalities and design tailored solutions.Develop functional designs, workflows, business process configurations, user guides to fully leverage Microsoft Dynamics capabilities and to ensure seamless adoption.Lead or support the implementation of Microsoft Dynamics 365 Business Central solutions, ensuring alignment with organizational goals.Identify inefficiencies in existing workflows and recommend improvements, provide actionable insights to optimize processesConfigure Dynamics 365 modules/ system parameters to ensure they integrate seamlessly with other enterprise systems, and support end-user training and change management initiatives.Manage and deliver system testing, UAT (User Acceptance Testing), and data migration activities.Conduct business requirement workshops and provide expert guidance on best practices across ERP and CRM processes.Provide ongoing post-implementation support to address functional issues and ensure user satisfaction.Required Skills/Qualifications:3+ years of hands-on experience with Business Central as a Functional Consultant.Strong understanding of business processes and best practices.Excellent analytical, communication, and problem-solving skills.Experience with the Power Platform is a plus.Strong documentation skills for creating functional specifications, process guides, and user manuals.Bachelors degree in Business Administration, Information Technology, Computer Science, or a related field.Relevant Microsoft certification are desirable.Technical ConsultantKey Responsibilities:Design, develop and customise Microsoft Dynamics 365 solutions/modules to meet complex business requirements.Customize Business Central using AL code, developing extensions to meet client-specific requirements.Design and implement integrations with other Microsoft tools (Office 365, Power BI) and third-party applications.Participate in implementing Microsoft Dynamics 365 solutions, including setup, configuration, and deployment of technical components.Assist in system design workshops and technical requirement-gathering discussions with stakeholders and clients.Oversee data migration activities and provide technical support during and after implementation.Manage end-to-end technical implementations, ensuring scalability, performance, and security.Create and maintain technical documentation, ensuring adherence to coding standards and best practices.Monitor and maintain system architecture to ensure reliable performance and data integrity.Provide ongoing maintenance and technical support for live implementations Develop and manage scripts, reports, and batch processing for process automation within Microsoft Dynamics.Required Skills/Qualifications:3+ years of hands-on technical experience working with Microsoft Dynamics 365 Business Central.Proficiency in AL programming and familiarity with Business Central architecture.Experience with integration technologies (e.g., REST APIs, Azure services).Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment.Bachelors degree in Computer Science, Information Technology, or a related fieldRelevant Microsoft certifications are desirable.Solution ArchitectKey Responsibilities:Design end-to-end, scalable, and secure architectures for Microsoft Dynamics 365 Business Central implementations.Define strategic technology roadmaps that align with client business objectives.Oversee both functional and technical teams to ensure seamless solution delivery and integration.Establish best practices, governance frameworks, and innovative approaches to optimize system performance.Develop and document the overall architecture for Dynamics 365 Business Central solutions, ensuring alignment with business requirements and IT strategy.Act as the primary liaison between technical teams, functional consultants, and business stakeholders to translate complex business needs into architectural solutions, facilitate workshops and guide stakeholders.Design and implement integration strategies, including custom APIs and middleware, to connect Dynamics 365 Business Central with third-party and Microsoft solutions like Power BI, Azure, and Office 365.Ensure seamless and secure data flow across systems while maintaining data integrityProvide technical leadership across all project phases, ensuring delivery aligns with architectural standards.Mentor team members and conduct design reviews to optimize performance and usability.Monitor system performance, recommend enhancements, and oversee upgrades and tuning activities.Lead proof-of-concept (PoC) solutions to support pre-sales and decision-making. Required Skills/Qualifications:5+ years of experience in solution architecture with Business Central.Comprehensive experience in enterprise architecture, including agile and DevOps methodologies.Proven expertise in designing and implementing integrated business solutions.Strong leadership, communication, and stakeholder management skills.Bachelors degree in Computer Science, Information Technology, or a related field. A Masters degree is a plus.Relevant Professional certifications and a deep understanding of both business processes and technical frameworks.Compensation:Day rate of INR 10,000 to INR 15,000 per day Permanent salary between 20 lakh to 50 lakh, depending on the experience Working from HomeOpportunity to travel onsite