Cloud Engineer (Expert)

Were looking for an Expert Infrastructure Engineer who gets excited about cloud platforms automation containers and building systems that are secure scalable and built to last. If Terraform is your love language Kubernetes doesnt scare you and you believe infrastructure should be automated not manually configured this role has your name written all over it.

Youll play a key role in designing implementing and supporting secure cloud infrastructure while helping shape the future of Zero Trust architecture.

Your day might include:

• Designing secure scalable highly available cloud platforms
  
• Building cloud infrastructure that developers love using
  
• Automating everything possible with Infrastructure as Code
  
• Deploying and managing Kubernetes environments
  
• Creating resilient networking VPN DNS and load-balancing solutions
  
• Implementing cloud security best practices across platforms
  
• Building CI/CD pipelines that deploy infrastructure safely
  
• Monitoring platforms using modern observability tools
  
• Solving complex production issues and improving platform reliability
  
• Driving automation performance and operational excellence
  

• Strong hands-on experience with AWS cloud platform as the primary cloud provider.
  
• Deep knowledge of networking fundamentals including DNS VPNs load balancing and routing.
  
• Expertise with storage and compute services in public cloud environments.
  
• Proficient with container technologies such as Docker and Kubernetes for platform deployments.
  
• Strong competence in security controls: IAM RBAC secrets management and security frameworks.
  
• Infrastructure-as-Code and automation experience using Terraform and CI/CD tooling (Azure DevOps GitHub Actions).
  
• Infrastructure testing and security: experience building automated tests for IaC (unit tests plan/apply validations) IaC security scanning (e.g. checkov tfsec) and secure deployment pipelines.
  
• Experience implementing and operating monitoring and observability solutions (Grafana Prometheus Azure Monitor Application Insights).
  
• Skilled in designing secure highly available and scalable platform architectures.
  
• Comfortable building consuming and integrating interfaces and APIs across infrastructure and platform components.
  

• Practical experience with Microsoft Azure and its platform services.
  
• Experience or familiarity with Java and Python for automation and platform tooling.
  
• Knowledge of a database query language.
  
• Exposure to message-based platforms such as Kafka.
  
• Experience with enterprise systems infrastructure such as SAP.
  
• Familiarity with container orchestration patterns Helm charts and GitOps workflows.
  
• Understanding of secret and certificate lifecycle management at scale.
  
• Experience with storage performance tuning and cost optimisation strategies.
  
• Experience with high-availability design patterns disaster recovery and backup strategies.
  
• Knowledge on identity and access governance or Zero Trust platform integrations.
  
• Experience with CI/CD security scanning (SCA IaC scanning) and vulnerability management.
  
• Familiarity with serverless platforms (Lambda Azure Functions) for event-driven workloads.
  

• Extensive hands-on experience (typically 6 years) in cloud infrastructure platform engineering or DevOps roles with strong AWS experience.
  
• Proven track record of designing and operating secure scalable highly available cloud platforms with demonstrable experience in networking containers security and automation.
  
• Strong systems thinking risk management and problem-solving skills; Have a curious solution-minded takes ownership drives topics.
  

• Cutting edge global IT system landscape and processes.
  
• Flexible working of 1960 hours in a 12-month period.
  
• High Work-Life balance.
  
• Remote / On-site work location flexibility.
  
• Highly motivating energetic and fast-paced working environment.
  
• Modern state-of-the-art offices.
  
• Dynamic Global Team collaboration.
  
• Application of the Agile Working Model Methodology.