tailored for cloud environments and aligned to industry-standard cybersecurity frameworks such as NCSC CAF/NIST/CIS. This includes proficiency in securing cloud platforms such as AWS, Azure, understanding cloud-native security services, and expertise in configuring security groups, IAM policies, and network access controls. In depth experience and understanding of DevSecOps principles, emphasising the integration More ❯
Edinburgh, City of Edinburgh, United Kingdom Hybrid / WFH Options
Akkodis
embracing new and emerging tech so it's an excellent opportunity to expand your technical skill set. What you'll be doing Building, maintaining, and optimising cloud platforms (AWS/Azure/GCP). Using Infrastructure as Code (Terraform/Ansible/CloudFormation) to provision and manage infrastructure. Managing physical and virtual servers, storage, and backup … line support and resolving escalated infrastructure issues. What we're looking for Proven experience as an Infrastructure Engineer, Cloud Engineer, or similar role. Strong experience with cloud platforms (AWS, Azure, or GCP). Proficiency in Infrastructure as Code tools (Terraform, Ansible, or equivalent). Solid understanding of networking, virtualisation, and containerisation (e.g. Docker, Kubernetes). Experience managing Windows More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
Akkodis
embracing new and emerging tech so it's an excellent opportunity to expand your technical skill set. What you'll be doing Building, maintaining, and optimising cloud platforms (AWS/Azure/GCP). Using Infrastructure as Code (Terraform/Ansible/CloudFormation) to provision and manage infrastructure. Managing physical and virtual servers, storage, and backup … line support and resolving escalated infrastructure issues. What we're looking for Proven experience as an Infrastructure Engineer, Cloud Engineer, or similar role. Strong experience with cloud platforms (AWS, Azure, or GCP). Proficiency in Infrastructure as Code tools (Terraform, Ansible, or equivalent). Solid understanding of networking, virtualisation, and containerisation (e.g. Docker, Kubernetes). Experience managing Windows More ❯
platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. Strong skills in data preprocessing, wrangling, and augmentation techniques Experience deploying scalable AI solutions on cloud platforms (AWS, Google Cloud, or Azure) with … enthusiasm for MLOps tools and practices Proficiency with version control systems including Git and GitHub Other Technologies You Might Encounter Our services are deployed to AWS, typically using Bedrock, Lambda, ECS and Kubernetes with CloudFormation and CDK for infrastructure configuration Our web products are developed using TypeScript, React, and Redux We implement GraphQL and RESTful APIs More ❯