69 Gcp Architect Jobs - Page 3

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

Continue to make an impact with a company that is pushing the boundaries of what is possible. At NTT DATA, we are renowned for our technical excellence, leading innovations, and making a difference for our clients and society. Our workplace embraces diversity and inclusion its a place where you can continue to grow, belong, and thrive. Your career here is about believing in yourself and seizing new opportunities and challenges. Its about expanding your skills and expertise in your current role and preparing yourself for future advancements. Thats why we encourage you to take every opportunity to further your career within our great global team. Workplace type: Hybrid Working Equal Opportunity Employer,

As a valued member of our team at NTT DATA, you will have the opportunity to continue making a significant impact in a company that is constantly pushing the boundaries of what is possible. Our reputation for technical excellence, leading innovations, and commitment to making a difference for our clients and society sets us apart. We take pride in fostering a workplace that values diversity and inclusion, providing a space where you can not only grow but also feel a sense of belonging and thrive. Your career journey with us is all about self-belief, embracing new opportunities, and tackling challenges head-on. It's an environment where you can enhance your current skills, expand your expertise, and position yourself for future growth and advancement. We actively support your professional development by encouraging you to seize every opportunity for career progression within our dynamic global team. At NTT DATA, we offer a hybrid working environment that provides flexibility and balance to meet both personal and professional needs. We are committed to being an Equal Opportunity Employer, ensuring that all individuals have an equal chance to excel and succeed in their careers. Join us in shaping the future of technology and innovation while fostering an inclusive and diverse workplace that values your unique contributions.,

Job Description: Cloud Infrastructure & Deployment Design and implement secure, scalable, and highly available cloud infrastructure on GCP. Provision and manage compute, storage, network, and database services. Automate infrastructure using Infrastructure as Code (IaC) tools such as Terraform or Deployment Manager. Architecture & Design Translate business requirements into scalable cloud solutions. Recommend GCP services aligned with application needs and cost optimization. Participate in high-level architecture and solution design discussions. DevOps & Automation Build and maintain CI/CD pipelines (e.g., using Cloud Build, Jenkins, GitLab CI). Integrate monitoring, logging, and alerting (e.g., Stackdriver / Cloud Operations Suite). Enable autoscaling, load balancing, and zero-downtime deployments. Security & Compliance Ensure compliance with security standards and best Migration & Optimization Support cloud migration projects from on-premise or other cloud providers to GCP. Optimize performance, reliability, and cost of GCP workloads. Documentation & Support Maintain technical documentation and architecture diagrams. Provide L2/L3 support for GCP-based services and incidents. Required Skills and Qualifications: Google Cloud Certification Associate Cloud Engineer or Professional Cloud Architect/Engineer Hands-on experience with GCP services (Compute Engine, GKE, Cloud SQL, BigQuery, etc.) Strong command of Linux , shell scripting , and networking fundamentals Proficiency in Terraform , Cloud Build , Cloud Functions , or other GCP-native tools Experience with containers and orchestration – Docker, Kubernetes (GKE) Familiarity with monitoring/logging – Cloud Monitoring , Prometheus , Grafana Understanding of IAM , VPCs , firewall rules , service accounts , and Cloud Identity

Project Role : Cloud Platform Architect Project Role Description : Oversee application architecture and deployment in cloud platform environments -- including public cloud, private cloud and hybrid cloud. This can include cloud adoption plans, cloud application design, and cloud management and monitoring. Must have skills : Google Cloud Platform Architecture Summary: As a Cloud Platform Architect, you will be responsible for overseeing application architecture and deployment in cloud platform environments, including public cloud, private cloud, and hybrid cloud. Your typical day will involve designing cloud adoption plans, managing and monitoring cloud applications, and ensuring cloud application design meets business requirements. Roles & Responsibilities: - Design and implement cloud adoption plans, including public cloud, private cloud, and hybrid cloud environments. - Oversee cloud application design, ensuring it meets business requirements and aligns with industry best practices. - Manage and monitor cloud applications, ensuring they are secure, scalable, and highly available. - Collaborate with cross-functional teams to ensure cloud applications are integrated with other systems and services. - Stay up-to-date with the latest advancements in cloud technology, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Strong experience in Google Cloud Platform Architecture. - Good To Have Skills: Experience with other cloud platforms such as AWS or Azure. - Experience in designing and implementing cloud adoption plans. - Strong understanding of cloud application design and architecture. - Experience in managing and monitoring cloud applications. - Solid grasp of cloud security, scalability, and availability best practices.

We are seeking a highly skilled and experienced GCP Cloud Architect to lead the design, development, and optimization of cloud-based solutions on the Google Cloud Platform. This role requires a deep understanding of cloud architecture, GCP services, and best practices for building scalable, secure, and efficient cloud environments. The ideal candidate will have hands-on experience with GCP tools, infrastructure automation, and cloud security. Must have skills GCP Expertise: In-depth knowledge of GCP services, including Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, and Pub/Sub. Infrastructure Automation: Proficiency with IaC tools like Terraform or GCP Deployment Manager. Cloud Security: Strong understanding of IAM, VPC, firewall configurations, and encryption in GCP. Programming Skills: Proficiency in Python, Go, or other programming languages for automation and scripting. Data Engineering Knowledge: Familiarity with data pipelines and services like Dataflow, Dataproc, or BigQuery. Monitoring and Observability: Hands-on experience with GCP monitoring tools and best practices. Problem-solving: Strong analytical and troubleshooting skills. Collaboration: Excellent communication and teamwork abilities to work effectively across teams. Roles and responsibilities Architecture Design: Design and develop robust and scalable cloud architectures leveraging GCP services to meet business requirements. Cloud Migration and Optimization: Lead cloud migration initiatives and optimize existing GCP environments for cost, performance, and reliability. Infrastructure as Code (IaC): Implement and maintain infrastructure automation using tools like Terraform or Deployment Manager. Integration with Cloud Services: Integrate various GCP services (e.g., BigQuery, Pub/Sub, Cloud Functions) into cohesive and efficient solutions. Observability and Monitoring: Set up monitoring, logging, and alerting using GCP-native tools like Cloud Monitoring and Cloud Logging. Security and Compliance: Ensure cloud environments adhere to industry security standards and compliance requirements, implementing IAM policies, encryption, and network security measures. Collaboration: Work with cross-functional teams, including DevOps, data engineers, and application developers, to deliver cloud solutions. Preferred Qualifications: GCP certifications (e.g., Professional Cloud Architect, Professional Data Engineer). Experience with container orchestration using Kubernetes (GKE). Knowledge of CI/CD pipelines and DevOps practices. Exposure to AI/ML services like Vertex AI.

Required Skills and Qualifications: Experience : Minimum 10-12 years of experience in software development, cloud application architecture, or a related field. Google Cloud Expertise : Proven experience designing and deploying applications using a wide range of GCP services including Compute Engine, Kubernetes Engine, Cloud Functions, App Engine, BigQuery, Pub/Sub, Cloud Storage, Cloud SQL, etc. Cloud Architecture : Strong background in cloud-native application design and architecture, with an understanding of microservices, containerization, and serverless architectures. Programming and Scripting : Proficiency in programming languages like Python, Java, Go, or Node.js, along with experience using GCP SDKs and APIs. DevOps and Automation : Hands-on experience with CI/CD tools (e.g., Cloud Build, Jenkins, GitLab) and Infrastructure as Code tools (e.g., Terraform, Cloud Deployment Manager). Security : Solid understanding of cloud security, including identity and access management (IAM), encryption, and network security in the GCP environment. Collaboration : Excellent communication and collaboration skills to work with multiple teams and stakeholders, both technical and non-technical. Certifications : Google Cloud Professional Cloud Architect certification is highly desirable

Hi, Hope you are looking for a job change. We have opening for GCP Data Architect for an MNC in Pan India Location, I'm sharing JD with you. Please have a look and revert with below details and Updated Resume. Apply only if you can join in 10 Days. Its 5-Days Work from Office . We dont process High-Notice period Candidates Role GCP Data Architect Experience: 10+ Years Mode: Permanent Work Location: Pan India Notice Period: immediate to 10 Days Mandatory Skills: : GCP, Architecture Experience , Big Data, Data Modelling , BigQuery Full Name ( As Per Aadhar Card ): Email ID: Mobile Number: Alternate No: Qualification: Graduation Year: Regular Course: Total Experience: Relevant experience: Current Organization: Working as Permanent Employee: Payroll Company:: Experience in GCP : Experience in Architecture : Experience in GCP Data Architecture : Experience in Big Data: Experience in BigQuery : Experience in Data Management : Official Notice period: Serving Notice Period: Current location: Preferred location: Current CTC: Exp CTC: CTC Breakup: Pan Card Number : Date of Birth : Any Offer in Hand: Offered CTC: LWD: Any Offer in hand: Serving Notice Period: Can you join immediately: Ready to work from Office for 5 Days : Job Description: GCP Data Architect We are seeking a skilled Data Solution Architect to design Solution and Lead the implementation on GCP. The ideal candidate will possess extensive experience in data Architecting, Solution design and data management practices. Responsibilities: Architect and design end-to-end data solutions on Cloud Platform, focusing on data warehousing and big data platforms. Collaborate with clients, developers, and architecture teams to understand requirements and translate them into effective data solutions. Develop high-level and detailed data architecture and design documentation. Implement data management and data governance strategies, ensuring compliance with industry standards. Architect both batch and real-time data solutions, leveraging cloud native services and technologies. Design and manage data pipeline processes for historic data migration and data integration. Collaborate with business analysts to understand domain data requirements and incorporate them into the design deliverables. Drive innovation in data analytics by leveraging cutting-edge technologies and methodologies. Demonstrate excellent verbal and written communication skills to communicate complex ideas and concepts effectively. Stay updated on the latest advancements in Data Analytics, data architecture, and data management techniques. Requirements Minimum of 5 years of experience in a Data Architect role, supporting warehouse and Cloud data platforms/environments. Experience with common GCP services such as BigQuery, Dataflow, GCS, Service Accounts, cloud function Extremely strong in BigQuery design, development Extensive knowledge and implementation experience in data management, governance, and security frameworks. Proven experience in creating high-level and detailed data architecture and design documentation. Strong aptitude for business analysis to understand domain data requirements. Proficiency in Data Modelling using any Modelling tool for Conceptual, Logical, and Physical models is preferred Hands-on experience with architecting end-to-end data solutions for both batch and real-time designs. Ability to collaborate effectively with clients, developers, and architecture teams to implement enterprise-level data solutions. Familiarity with Data Fabric and Data Mesh architecture is a plus. Excellent verbal and written communication skills. Regards, Rejeesh S Email : rejeesh.s@jobworld.jobs Mobile : +91 - 9188336668

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : Anu bachelors degree Summary: As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. You will deploy infrastructure and platform environments, create proof of architecture to test architecture viability, security, and performance. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the implementation of cloud solutions - Optimize cloud infrastructure for performance and cost-efficiency - Troubleshoot and resolve technical issues Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture - Strong understanding of cloud architecture principles - Experience with DevOps practices - Experience with Google Cloud SQL - Hands-on experience in cloud deployment and management - Knowledge of security best practices in cloud environments Additional Information: - The candidate should have a minimum of 7.5 years of experience in Google Cloud Platform Architecture - This position is based at our Bengaluru office - A bachelors degree is required