AWS & Google Cloud Platform Support Engineer

We have an Urgent requirement for a Cloud Support Engineer at Remote  Long-Term Contract.

Role:   Cloud Support Engineer
Location: Remote

Role Purpose:

• Provide operational and engineering support for cloud infrastructure and continuous delivery pipelines.
• Ensure reliable, repeatable, and secure cloud environments using automation and infrastructure-as-code.
• Act as a hands-on practitioner who supports day-to-day cloud operations while continuously improving platform reliability.

• Amazon Web Services (AWS) as the primary supported cloud platform.
• Jenkins for CI/CD pipeline execution, troubleshooting, and reliability.
• Terraform for provisioning, updating, and maintaining cloud infrastructure.

• Operate and support CI/CD pipelines implemented with Jenkins, including job reliability, failure analysis, and environment issues.
• Support Terraform-based infrastructure deployments on AWS, including routine changes, remediation, and drift resolution.
• Troubleshoot cloud infrastructure issues related to compute, networking, identity, and platform services.
• Collaborate with engineering and platform teams to implement standardized, repeatable cloud patterns.
• Participate in incident response, root cause analysis, and operational runbook improvements.
• Maintain documentation for supported services, pipelines, and infrastructure components.

• Learn to support Google Cloud Platform (Google Cloud Platform) and Microsoft Azure services over time.
• Apply the same Terraform and CI/CD principles across all supported cloud providers.
• Assist with crosscloud operational consistency as services expand beyond AWS.

• Strong understanding of CI/CD concepts and automation-first operations.
• Practical experience or working knowledge of:
• Jenkins (pipelines, agents, job troubleshooting)
• Terraform (modules, state, plans, applies)
• AWS core services (IAM, compute, networking)
• Ability to learn new cloud platforms and services quickly.
• Clear communicator who can work effectively with engineers and service owners.

• Follow operational standards, change controls, and reliability practices.
• Focus on diagnosing issues, not just resolving symptoms.
• Continuously improve automation, documentation, and support outcomes.