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 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.

- 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

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