Experience in DevOps and infrastructure stack automation.
Solid 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 contemporary
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.
Solid 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
🏢 Ascendion Engineering
📍 Bengaluru