Senior AWS Architect

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Company Description
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CloudiQS is an AWS Advanced Consulting Partner focused on helping small and medium-sized businesses and educational institutions simplify and maximize their use of AWS technologies. Recognized as the 2024 Fastest Growing AWS Advanced Partner of the Year (UK), the company supports organizations across the UK and EMEA in accelerating cloud transformation with speed and precision.
With AWS competencies in Generative AI, Migration, Microsoft Workloads, and Education, CloudiQS delivers low-risk cloud migrations, production-ready AI agent deployments, and robust managed services for AWS infrastructure, security, and DevOps. A team of AWS-certified engineers designs solutions that emphasize measurable business outcomes, covering specialties such as cloud security and compliance, infrastructure as code, and tailored education sector cloud adoption.
Role Description We looking for hands on Senior AWS Architect is a full-time, remote role responsible for designing, implementing, and optimizing AWS architectures for SMB and education sector clients. This role involves leading discovery and design workshops, translating business requirements into scalable, secure, and cost-effective cloud solutions, and overseeing end-to-end cloud migration and modernization projects. The Senior AWS Architect will collaborate closely with engineers, DevOps specialists, and client stakeholders to define reference architectures, guide implementation, and ensure adherence to AWS best practices and Well-Architected principles. Daily activities include reviewing existing environments, proposing improvements, creating infrastructure-as-code templates, supporting AI agent and data workloads, and providing technical leadership across pre-sales, delivery, and ongoing managed services engagements.
Qualifications
Strong AWS architecture skills, including VPC design, networking, security, IAM, and multi-account strategies.
Experience with cloud migration and modernization, including lift-and-shift, re-platforming, and re-architecting workloads.
Proficiency in infrastructure as code and DevOps practices (e.g., Terraform or AWS CloudFormation, CI/CD pipelines, automation).
Knowledge of compute, storage, and databases on AWS (e.g., EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB) and cost optimization techniques.
Experience with Generative AI and data workloads on AWS (e.g., Bedrock, SageMaker, AI agents, data integration and orchestration).
Understanding of cloud security and compliance, including logging and monitoring (CloudWatch, CloudTrail), encryption, and governance.
Background in Microsoft workloads on AWS (e.g., Windows Server, SQL Server, Active Directory) is highly beneficial.
Ability to lead client workshops, produce high-quality solution designs, and communicate complex concepts clearly to technical and non-technical audiences.
Track record of working with SMB or education sector clients and delivering measurable

Work arrangement
Yes