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 up-to-date
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 recent 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.
Robust 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

📌 Cloud Engineer/ Support Engineer Cloud Bengaluru (India)
🏢 Ascendion
📍 India