Kafka DevOps Engineer

Location: New Delhi, Delhi

Category: Work from home Jobs

Microsoft

Cloud Engineer - Azure

Microsoft • via Instahyre

22 hours ago

Full–time

No Degree Mentioned

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Job description

Requirements:

• Candidate should have an in-depth understanding of Azure and AWS cloud provisioning.

• Candidate should have good knowledge of underlying infrastructure component features.

• S/he should be able to support developers to create and manage infrastructure resources with high fluency.

• Candidate should have good terraform and Linux shell script coding abilities.

• Candidate should hav...

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AIS (Applied Information Sciences)

Kafka DevOps Engineer

AIS (Applied Information Sciences) • Hyderabad, Telangana • via LinkedIn

13 hours ago

Full–time

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Job description

Kafka Devops

Company Overview:

Applied Information Sciences AIS) is highly regarded software and systems engineering firm providing professional application development services to commercial and government clients since 1+82. One of Microsoft’s oldest and largest Managed Gold partners in the U.S., AIS is exclusively focused on building enterprise class custom applications using Microsoft technologies. As we continue to experience extraordinary growth, we are seeking professionals to join our AIS Team in Hyderabad India.

For more information, please visit.

http://www.appliedis.com

https://blog.appliedis.com

Job Description:

Minimum 5-10 yrs of IT experience.

A senior or principal level DevOps engineer who can lead, coach, upskill team members beyond having the following skills:

· Azure Kubernetes

o Support and Application onboarding.

· Helm

o authoring and maintaining helm charts.

o application deployments and lifecycle management

· Azure DevOps CI/CD Pipelines

o creating and automating deployment

· Terraform

o Module creation

o Experience with Terraform Cloud preferred.

· Azure Infrastructure

· Collaborate with other development teams to integrate Kafka with various data sources and sinks connectors.

· Troubleshoot and optimize Kafka clusters for performance and reliability.

· Create Kafka-based applications using KTables, Kstreams, KSQL, and SMTs

· Experience with confluent cloud services and features.

· Experience in monitoring and observability systems like Grafana, Dynatrace

· Create/updating of Kafka connectors.

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