Get alerts for new jobs matching your selected skills, preferred locations, and experience range. Manage Job Alerts
7.0 - 9.0 years
21 - 27 Lacs
Hyderabad, Telangana, India
On-site
Work mode- WFO 5 days Experience- 7+ K8s Hands-on experience Linux Troubleshooting Skills Experience on OnPrem Servers and Management Helm Docker Ingress and Ingress Controllers Networking Basics Proficient Communication Must-Have Skills: Hands-on experience with airgap Kubernetes clusters , ideally in regulated industries (finance, healthcare, etc.) . Strong expertise in CI/CD pipelines , programmable infrastructure , and automation . Proficiency in Linux troubleshooting, observability (Prometheus, Grafana, ELK), and multi-region disaster recovery . Security & compliance knowledge for regulated industries. Preferred: Experience with GKE, RKE, Rook-Ceph, and certifications like CKA, CKAD . Who You Are A Kubernetes expert who thrives on scalability, automation, and security . Passionate about optimizing infrastructure, CI/CD, and high-availability systems . Comfortable troubleshooting Linux, improving observability , and ensuring disaster recovery readiness . A problem solver who simplifies complexity and drives cloud-native adoption . What Youll Do Architect & automate Kubernetes solutions for airgap and multi-region clusters . Optimize CI/CD pipelines & cloud-native deployments . Work with open-source projects , selecting the right tools for the job. Educate & guide teams on modern cloud-native infrastructure best practices. Solve real-world scaling, security, and infrastructure automation challenges . Why Join Us Work on high-impact Kubernetes projects in regulated industries . Solve real-world automation & infrastructure challenges with cutting-edge tools . Grow in a team that values learning, open-source contributions, and innovation . Location: Hyderabad (Onsite) Show more Show less
Posted 1 day ago
5.0 - 8.0 years
10 - 15 Lacs
Ahmedabad
Work from Office
We are seeking an experienced and highly skilled Senior DevOps Engineer to join our dynamic team. The ideal candidate will have over 5 years of hands-on experience in designing, implementing & managing CI/CD pipelines, cloud infrastructures & (IaC).
Posted 2 days ago
8.0 - 12.0 years
0 Lacs
karnataka
On-site
As a Site Reliability Engineering (SRE) Technical Leader on the Network Assurance Data Platform (NADP) team at Cisco ThousandEyes, you will be responsible for ensuring the reliability, scalability, and security of the cloud and big data platforms. Your role will involve representing the NADP SRE team, contributing to the technical roadmap, and collaborating with cross-functional teams to design, build, and maintain SaaS systems operating at multi-region scale. Your efforts will be crucial in supporting machine learning (ML) and AI initiatives by ensuring the platform infrastructure is robust, efficient, and aligned with operational excellence. You will be tasked with designing, building, and optimizing cloud and data infrastructure to guarantee high availability, reliability, and scalability of big-data and ML/AI systems. This will involve implementing SRE principles such as monitoring, alerting, error budgets, and fault analysis. Additionally, you will collaborate with various teams to create secure and scalable solutions, troubleshoot technical problems, lead the architectural vision, and shape the technical strategy and roadmap. Your role will also encompass mentoring and guiding teams, fostering a culture of engineering and operational excellence, engaging with customers and stakeholders to understand use cases and feedback, and utilizing your strong programming skills to integrate software and systems engineering. Furthermore, you will develop strategic roadmaps, processes, plans, and infrastructure to efficiently deploy new software components at an enterprise scale while enforcing engineering best practices. To be successful in this role, you should have relevant experience (8-12 yrs) and a bachelor's engineering degree in computer science or its equivalent. You should possess the ability to design and implement scalable solutions, hands-on experience in Cloud (preferably AWS), Infrastructure as Code skills, experience with observability tools, proficiency in programming languages such as Python or Go, and a good understanding of Unix/Linux systems and client-server protocols. Experience in building Cloud, Big data, and/or ML/AI infrastructure is essential, along with a sense of ownership and accountability in architecting software and infrastructure at scale. Additional qualifications that would be advantageous include experience with the Hadoop Ecosystem, certifications in cloud and security domains, and experience in building/managing a cloud-based data platform. Cisco encourages individuals from diverse backgrounds to apply, as the company values perspectives and skills that emerge from employees with varied experiences. Cisco believes in unlocking potential and creating diverse teams that are better equipped to solve problems, innovate, and make a positive impact.,
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Tumkur
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Chikkaballapura
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Mandya
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Davangere
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Kolar
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Krishnagiri
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Mysuru
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Chitradurga
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Ramanagara
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Chennai
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Salem
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Vellore
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Tirunelveli
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Uttara Kannada
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Coimbatore
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Vijayapura
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Madurai
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Tiruchirapalli
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Bangalore Rural
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Bengaluru
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Ponnani
Work from Office
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.
Posted 1 week ago
8.0 - 13.0 years
18 - 22 Lacs
Pathanamthitta
Work from Office
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.
Posted 1 week ago
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Accenture
39581 Jobs | Dublin
Wipro
19070 Jobs | Bengaluru
Accenture in India
14409 Jobs | Dublin 2
EY
14248 Jobs | London
Uplers
10536 Jobs | Ahmedabad
Amazon
10262 Jobs | Seattle,WA
IBM
9120 Jobs | Armonk
Oracle
8925 Jobs | Redwood City
Capgemini
7500 Jobs | Paris,France
Virtusa
7132 Jobs | Southborough