Cloud Engineer/ Support Engineer - Cloud

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