Anblicks
Overview
Experienced in cloud technologies and delivery/execution of projects, with the ability to advise on public cloud services (AWS and Azure) across IaaS, PaaS, FaaS, DBaaS and AI Services. Analyze on-premises and cloud architectures to identify improvements, design and implement scalable, secure, and highly available cloud solutions, and lead cloud transformation initiatives. Responsibilities
Advise on public cloud services in AWS and Azure across IaaS, PaaS, FaaS, DBaaS and AI Services. Analyse existing on-premises and cloud architectures to identify areas for improvement and optimization. Design and implement scalable, secure, and highly available cloud solutions. Collaborate with cross-functional teams to define cloud architecture standards and best practices. Lead the migration of legacy systems to cloud-native platforms. Provide technical leadership in networking, distributed computing, and microservices. Ensure robust cybersecurity practices are integrated into all architectural designs. Contribute to the development of Agentic AI platforms (experience in this area is a plus). Drive delivery execution and ensure alignment with business goals and timelines. Required Qualifications
Bachelor’s or Master’s degree in computer science, Engineering, or a related field. 18+ years of experience in IT, with at least 5 years in cloud architecture roles. Deep expertise in cloud platforms (AWS, Azure, or GCP). Strong background in: Computer networking and security Distributed computing and systems design Backups and Disaster Recovery High availability and disaster recovery strategies Microservices architecture and container orchestration (Kubernetes) Experience with Infrastructure as Code (Terraform, CloudFormation, etc.). Proven track record of delivering complex cloud transformation projects. Excellent communication and stakeholder management skills. Preferred Qualifications
Experience with Agentic AI platforms or autonomous AI systems. Certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert Familiarity with DevOps practices and CI/CD pipelines. Knowledge of virtualization technologies, such as VMWare, OpenStack, OpenShift etc.
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Experienced in cloud technologies and delivery/execution of projects, with the ability to advise on public cloud services (AWS and Azure) across IaaS, PaaS, FaaS, DBaaS and AI Services. Analyze on-premises and cloud architectures to identify improvements, design and implement scalable, secure, and highly available cloud solutions, and lead cloud transformation initiatives. Responsibilities
Advise on public cloud services in AWS and Azure across IaaS, PaaS, FaaS, DBaaS and AI Services. Analyse existing on-premises and cloud architectures to identify areas for improvement and optimization. Design and implement scalable, secure, and highly available cloud solutions. Collaborate with cross-functional teams to define cloud architecture standards and best practices. Lead the migration of legacy systems to cloud-native platforms. Provide technical leadership in networking, distributed computing, and microservices. Ensure robust cybersecurity practices are integrated into all architectural designs. Contribute to the development of Agentic AI platforms (experience in this area is a plus). Drive delivery execution and ensure alignment with business goals and timelines. Required Qualifications
Bachelor’s or Master’s degree in computer science, Engineering, or a related field. 18+ years of experience in IT, with at least 5 years in cloud architecture roles. Deep expertise in cloud platforms (AWS, Azure, or GCP). Strong background in: Computer networking and security Distributed computing and systems design Backups and Disaster Recovery High availability and disaster recovery strategies Microservices architecture and container orchestration (Kubernetes) Experience with Infrastructure as Code (Terraform, CloudFormation, etc.). Proven track record of delivering complex cloud transformation projects. Excellent communication and stakeholder management skills. Preferred Qualifications
Experience with Agentic AI platforms or autonomous AI systems. Certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert Familiarity with DevOps practices and CI/CD pipelines. Knowledge of virtualization technologies, such as VMWare, OpenStack, OpenShift etc.
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