Cloud Engineer/ Support Engineer - Cloud

Job description

Experience in DevOps and infrastructure stack automation. • Strong hands-on experience with Infrastructure as • Code, particularly Terraform, managing production-scale environments. • Experience with AWS and Google Cloud Platform, • including networking, compute, storage, IAM, and security services. • Proven experience designing and operating modern • CI/CD pipelines and DevOps workflows. • Familiarity with AI-assisted development tools • (e.g., GitHub Copilot) and a willingness to learn how AI can improve SDLC • efficiency and developer experience [Adapted from 8]. • Curiosity and initiative – eager to learn and • explore new technologies. • Ability to analyze information and display strong • attention to detail. • Team Collaboration: Comfortable working in Agile • teams and communicating effectively (both verbal and written). • Understanding of cloud security principles, • identity and access management, and enterprise best practices. • Experience supporting cloud-native architectures • (serverless, containers, APIs, event-driven systems). • Proficient in Git-based source control workflows • (branching strategies, pull requests, code reviews). • Understanding of secrets management and data • protection strategies. • Strong documentation habits (standards, READMEs, • architecture notes). Key Technologies And Tools • Cloud Platforms: AWS, Google Cloud, Azure • (awareness of) • Source Control: GitHub, SVN • CI/CD & Automation: FlexDeploy, Terraform, • Ansible • Developer Portals: Port • Cloud-Native Architectures: Serverless, • containerized, API-driven, event-based systems • Monitoring/Observability (Familiarity): • Dynatrace, CloudWatch • Integration Systems: Oracle SOA, Oracle MFT, • Oracle Weblogic, Automic • Authentication: Cognito, Entra ID • Operating Systems: Linux, Windows, Docker Monitoring Dynatrace, Solarwinds, AWS/GCP native monitoring