Cloud Engineer/ Support Engineer - Cloud

About Ascendion

Ascendion is a leader in AI-powered software engineering, helping businesses innovate faster, smarter, and with greater impact. We partner with Global 2000 clients across North America, UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI™ (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth. Learn more at ascendion.com

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

· Build the coolest tech for world’s leading brands

· Solve complex problems - and learn new skills

· Experience the power of transforming digital engineering for Fortune 500 clients

· Master your craft with leading training programs and hands-on experience

Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role:

Job Title:L3 Cloud Ops Support

Job Description: L3 Cloud Ops Support- Cloud (Oracle SOA)(Expert)

Yrs of exp:- 8+

Location:- Kormangala, Bangalore, hybrid mode

Responsibilities will include:

• 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:

• Mandatory- Oracle SOA Exp.
• 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