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Devops Engineer
EnterpriseMinds's logo

Devops Engineer

phani kalyan's profile picture
Posted by phani kalyan
7 - 9 yrs
₹10L - ₹35L / yr
Bengaluru (Bangalore)
Skills
DevOps
skill iconKubernetes
skill iconDocker
skill iconAmazon Web Services (AWS)
Windows Azure
Google Cloud Platform (GCP)
CI/CD
Powershell
skill iconPython
Terraform
  • Candidate should have good Platform experience on Azure with Terraform.
  • The devops engineer  needs to help developers, create the Pipelines and K8s Deployment Manifests.
  • Good to have experience on migrating data from (AWS) to Azure. 
  • To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms.
  • VMs to be provisioned on Azure Cloud and managed.
  • Good hands on experience of Networking on Cloud is required.
  • Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services.
  • Kubernetes, Storage, KeyValult, Networking(load balancing and routing) and VMs are the key infrastructure expertise which are essential. 
  • Requirement is  to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue-green/canary deployment models etc).
  • The experience in AWS is desirable 
  • Python experience is optional however Power shell is mandatory
  • Know-how on the use of GitHub
Administration of Azure Kubernetes services
Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About EnterpriseMinds

Founded :
2017
Type :
Products & Services
Size :
100-1000
Stage :
Profitable

About

Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.


Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalising go-to-market models and not just explore possibilities.


We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.


Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.


We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.


We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.

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Shubham Vishwakarma

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