| Company | Ford |
| Job Role | Cloud Engineer |
| Salary | upto 8 LPA |
| Experience | Freshers |
| Location | Chennai |
| Qualifications | B.E / B.Tech |
| Passed out | 2023 and below |
Check the below link for applying.
Job Description:
Ford is hiring candidates for the post of Cloud Engineer.
Job Responsibilities:
- Design, automate and manage a highly available and scalable cloud deployment that allows development teams to deploy and run their services.
- Collaborating with engineering and Architects teams to evaluate and identify optimal cloud solutions, also leveraging scalability, high-performance and security.
- Modernise existing on-prem solution and improving existing systems.
- Extensively automated deployments and managed applications in GCP.
- Developing and maintaining cloud solutions in accordance with best practices.
- Ensuring efficient functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security.
- Collaborate with Engineering teams to identify optimization strategies, help develop self-healing capabilities
Eligibility Criteria:
- BE/ B.Tech/ BSc/ BCA/ ME/ M.Tech/ MCA from any stream
Preferred skill:
- Good communication and analytical skills.
- roven work experience in Docker/Kubernetes (image building, k8s schedule)
- Experience in package, config and deployment management via Helm, Kustomize, ArgoCD.
- Proven work experience in provisioning Infrastructure as Code (IaC) using Terraform Enterprise or community edition.
- Proven work experience in writing custom terraform providers/plug-ins with Sentinel Policy as Code
- Strong knowledge in Github, DevOps (Tekton is an advantage)
- Should be proficient in scripting and coding, that include traditional languages like Python, GoLang,Java, JS and Node.js.
- Extensive knowledge and hands-on experience in Grafana and Prometheus micro libraries.
- Exposure to Cloud Monitoring and logging.
- Experience with distributed storage technologies like NFS, HDFS, Ceph, S3 as well as dynamic resource management frameworks (Mesos, Kubernetes, Yarn)
- Experience with automation tools should be a priority
- Previous success in technical engineering
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