hat you’ll build-
As an devops engineer for CBC DevOps & Cloud Operations you will be working closely with the team of CBC DevOps & Cloud Operations & external (3rd – party) experts. You will be one of the Key Experts to define and drive the tasks for CBC DevOps & Cloud Operations
You will actively collaborate with other Cloud Operations Teams and align and coordinate relevant processes for operations to make CBC cloud ready. You will report to the Global Vice President CBC Support & Customer Success and a dotted line to the Global Lead for CBC DevOps & Cloud Operations .
- EXPECTATIONS AND TASKS
- Passion for coding and automation.
- Design, develop, test and deliver container-based execution environment.
- Develop robust Kubernetes orchestration framework
- Experience in Open Source Observability tools like Prometheus, Grafana, OpenSearch, cloud logging etc is a must
• Work on automation of involved operation practices.
- In depth knowledge of BTP and its services ,
- In depth knowledge of Gardener etc is needed
- In depth knowledge of HANA , Postgres SQL is a needed
- Work on topics for the technical execution of the delivery architecture and contribute to cloud enablement efforts.
- Hands-on experience implementing GitOps workflows using tools like Flux, and Helm
- Designed and maintained declarative infrastructure pipelines where all changes are version-controlled, peer-reviewed, and automatically reconciled to the desired state
- Reduced deployment errors significantly by eliminating manual interventions and enforcing pull-based deployment models.
• Support the delivery roadmap and drive incubation of new technologies.
• Invest oneself in good development lifecycle practices.
• Working in a fast-paced team environment with ability to delivery features end-to-end.
- Coding experience on Python, Go, Shell Script and Ruby is a must
- Knowledge on the SAP golden path is a added advantage
- Trouble shooting customer issues wrt landscape and platform ( K8s,IAS/IPS etc )
What you bring-
• Bachelor's / Master’s degree in computer science.
• Highly motivated and technology oriented.
• 4-8 Years of Deep knowledge in containerization (Docker), scaling of services using orchestration (Kubernetes), traffic management (Istio) and similar services.
• Experience on various deployment methodologies like green-blue / canary deployment etc
• Experience on pipeline-based deployment – conversant with CI tools like Git, SVN, Jenkins, hyperspace etc.
• Experience with 4+1 cloud infrastructure providers and abstraction layers as Gardener.
• Exposure to large scale cloud software build, integration, and test environments.
