SR Cloud Engineer

  • icon job experience 7 - 13 Years
  • icon job opening 4 Openings
  • icon salary 11.0-50.0 Lac/Yr
  • icon job location Hyderabad
  • Face-to-Face interview Face-to-Face interview
Key Skills

AWS Jenkins Kubernetes Terraform Cloud Formation

Job Description

Must be proficient

1. At least 7+ years of experience in (L3 Skills) (AWS, Linux, Terraform, Kubernetes, Jenkins)

2. Experience working in AWS/Azure/GCP Cloud technologies

3. Practical experience with Docker containerzation and Clustering (Kubernetes/EKS)

4. Setup and management of Kubernetes Cluster, including writing Dockerfile and Helm charts

5. Design, test and implement continuous integration and deployment pipelines using bitbucket/github, Jenkins.

6. Experience working with different services like Ec2, RDS, IAM, VPC, Lambda in AWS

7. Experience in creating Infrastructure in AWS using Terraform/Cloudformation.

8. Strong terraform skills to deploy infrastructure as a code.

Nice to have

1. Should demonstrate strong Troubleshooting skills

2. Strong understanding of DNS, TCP/IP, SSL, Firewalls and Networking concepts (VPC, Subnetting, VPNs, etc)

3. Experience with configuration management tools ( Ansible, Chef)

4. Understanding of Monitoring tools (NewRelic, Pagerduty, Splunk, Cloudwatch etc)

5. Strong Communication and documentation skills

6. Ability to learn and apply new technologies through self-Learning

7. Understanding of Monitoring tools (NewRelic, Pagerduty, Splunk, Cloudwatch etc)

Certifications (Desirable)

1. AWS Solution Architect Associate or Up

2. AWS DevOps Associate or Up
  • Experience

    7 - 13 Years

  • No. of Openings

    4

  • Education

    Any Bachelor Degree

  • Role

    Cloud engineer

  • Industry Type

    IT-Hardware & Networking / IT-Software / Software Services

  • Gender

    [ Male / Female ]

  • Job Country

    India

  • Type of Job

    Full Time

  • Work Location Type

    Work from Office

About aThingz Solutions Private Limted

We provide faster and timely integrated business insights across the value chain, while transforming, innovating and providing sustainable cost savings, using proprietary algorithms, AI, machine learning, digital twins and optimization models. With our strong foundational data management and integrations features, we continuously improve the quality of data, thereby increasing the accuracy of supply chain business decisions.
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