4 of 4 Remote/Hybrid Cloud Engineer Jobs in Scotland

supporting our client with a cloud engineering and automation programme and are seeking an experienced Logging & Inventory Cloud Engineer. This role will focus on enhancing cloud visibility, inventory management, monitoring capabilities and automation across complex multi-cloud environments. Role: Logging & Inventory Cloud Engineer … Duration: 6 months initially (with potential extension) Contract Start Date: Immediate Key Responsibilities Design, implement and maintain logging, monitoring and inventory management solutions across cloud platforms. Develop automation solutions to improve operational efficiency and reduce manual processes. Build and maintain Infrastructure as Code using Terraform. Develop scripts and tooling ...

recruiting an experienced Google Cloud Platform (GCP) Platform Provisioning Engineer to join a major cloud transformation programme. Your team will be responsible for building and evolving an enterprise cloud platform spanning Google Cloud Platform (GCP), AWS, Azure and on-premise environments. You will help … designing, developing and managing cloud platform provisioning solutions with a primary focus on GCP, while driving infrastructure automation, Kubernetes platform engineering, and AI-assisted DevOps practices. Role: Google Cloud Platform (GCP) Platform Provisioning Engineer Day rate: £400 – 450 per day (inside IR35) Pay framework: Umbrella Company Location ...

CreateFuture in the United Kingdom is seeking a Senior Cloud Engineer to drive architecture and delivery across client projects. The role blends infrastructure mastery with software development, data engineering, and AI-native platforms, acting as a technical expert on engagements and mentoring peers. You will build platform engineering … engineering standards, and contribute to cost-conscious, scalable cloud solutions using GitOps, AWS Bedrock, and modern tooling. #J-18808-Ljbffr ...

About the Job you are considering: An AWS Cloud Data Engineer designs, builds, and maintains scalable data architectures and pipelines using Amazon Web Services. Their primary goal is to ensure large volumes of structured and unstructured data are securely ingested, transformed, and stored so data scientists and analysts … process large datasets using PySpark, SQL, and Delta Lake. Implement data ingestion from multiple sources (APIs, streaming, databases). Your Skills: Python proficiency. AWS : Cloud formation , Service Catalog , IAM , S3 , Glue , Lambda , Knowledge python sdk, boto , EKS , ECS , ECS , VPC , SUBNETS , NACLs. Terraform : Modules , providers , terraform enterprise , Snowflake terraform ...