Cloud Engineer

Role & responsibilities

1. Maintain a well-informed cloud strategy and manage the adaptation process. Regularly evaluate cloud applications, processes, and software. Experience provisioning AWS/Azure/GCP resources.

2. Integration of applications, APIs developed on CLOUD infrastructure. Basic knowledge of AWS/AZURE/GCP service is a must.

3. Hands-on experience in building data pipelines for ingestion, processing, and aggregation of data. Experience working on Containers (Amazon EKS), HELM, Serverless computing services and Microservices Architecture

4. Hands-on experience on AWS Lambda and AWS Cloud Formation. Hands-on experience on Data bricks, Data factory, ML Flow. Good knowledge of Kubernetes and Docker.

5. Should have hands on experience on Automation skills. Infra deployment tool (Python, Terraform, CF). General knowledge of traditional network, firewalls and load balancers.

6. Proven knowledge of AWS/Azure/GCP platform and tools. Knowledge on Amazon Sage maker for creating, training, and deploying machine-learning (ML) models in the cloud is an add on.

7. Knowledge on Jenkins, Devops technologies is add on. Understand short and long-term goals and objectives and recommend technical solutions and services.

8. Respond to technical issues in a professional and timely manner. Work closely with customers to implement and/or consult requested solutions.

Preferred candidate profile

Perks and benefits