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.
- 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