Cloud Engineer
3 weeks ago
Cloud Engineer London Hybrid
Eames consulting are delighted to be working with a leading Asset Management firm with a market capitalisation of over £400M and growing. Design, deploy, and manage cloud infrastructure solutions on platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) to support investment management applications and workflows.
# Collaborate with software development teams to design and implement cloud-native architectures, microservices, and serverless applications, leveraging containerization and orchestration technologies (e.g., Implement and maintain automated deployment pipelines, infrastructure as code (IaC), and configuration management tools (e.g., Monitor, optimize, and troubleshoot cloud infrastructure performance, security, and costs, utilizing monitoring tools and logging frameworks (e.g., Implement and enforce cloud security best practices, including identity and access management (IAM), data encryption, network security, and compliance with industry regulations (e.g., Collaborate with IT security teams to conduct regular security assessments, vulnerability scans, and penetration tests of cloud environments, and implement remediation measures as needed.
# Design and implement disaster recovery (DR) and business continuity (BC) solutions for cloud-based systems, including backup and restore procedures, failover configurations, and multi-region deployments.
# Provide technical guidance and mentorship to junior cloud engineers and other IT staff, fostering a culture of continuous learning and innovation.
# Collaborate with cross-functional teams to document technical architectures, standards, and best practices for cloud computing, and ensure alignment with enterprise IT strategies and objectives.
Bachelor's degree in Computer Science, Information Technology, or a related field.
# Proven experience (3 years) as a cloud engineer, solutions architect, or similar role, with hands-on experience designing, deploying, and managing cloud infrastructure in AWS, Azure, or GCP.
# Strong understanding of cloud computing concepts, architectures, and best practices, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) models.
# Proficiency in scripting and automation using languages such as Python, PowerShell, or Bash, and experience with infrastructure as code (IaC) tools such as Terraform or CloudFormation.
# Familiarity with DevOps practices, continuous integration/continuous deployment (CI/CD) pipelines, and related tools such as Jenkins, GitLab CI/CD, or CircleCI.
# Strong understanding of networking concepts, including virtual private clouds (VPCs), subnets, routing, load balancing, and security groups in cloud environments.
# Knowledge of cloud security best practices, identity and access management (IAM), encryption mechanisms, and regulatory compliance requirements in financial services (e.g.,
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