Verified Job
IT / Software / Data Analyst
DevOps Engineer
IT / Software / Data Analyst
#398255
Remote / WFH
Job Description
Company Overview
We are the force behind the meteoric rise of India's leading telecom operator, Jio, with over 400 million customers. We provide solutions for customers (B2C) and enterprise (B2B), offering end-to-end 5G solutions and a wide range of digital apps and services. Our products are cloud-native and can be deployed on both public and private clouds.
Job Overview
Position: DevOps Engineer (Mid-Level)
Job Type: Full-Time
Location: Mumbai, Navi Mumbai, Thane
Salary Range: Not specified
Employee Count: 51-200 employees
Qualifications and Skills
• Elastic Stack (ELK)
• Scala Spark
• Kafka Cluster
• Jenkins
• Ansible
• Kubernetes
Roles and Responsibilities
• Implement and manage Elastic Stack (ELK) to analyze logs and generate insights.
• Utilize Scala Spark for big data processing and analytics.
• Configuration and maintenance of Kafka Cluster for efficient streaming data processing.
• Automation of deployment and orchestration tasks using Jenkins and Ansible.
• Manage containerized applications using Kubernetes for efficient scaling and deployment
We are the force behind the meteoric rise of India's leading telecom operator, Jio, with over 400 million customers. We provide solutions for customers (B2C) and enterprise (B2B), offering end-to-end 5G solutions and a wide range of digital apps and services. Our products are cloud-native and can be deployed on both public and private clouds.
Job Overview
Position: DevOps Engineer (Mid-Level)
Job Type: Full-Time
Location: Mumbai, Navi Mumbai, Thane
Salary Range: Not specified
Employee Count: 51-200 employees
Qualifications and Skills
• Elastic Stack (ELK)
• Scala Spark
• Kafka Cluster
• Jenkins
• Ansible
• Kubernetes
Roles and Responsibilities
• Implement and manage Elastic Stack (ELK) to analyze logs and generate insights.
• Utilize Scala Spark for big data processing and analytics.
• Configuration and maintenance of Kafka Cluster for efficient streaming data processing.
• Automation of deployment and orchestration tasks using Jenkins and Ansible.
• Manage containerized applications using Kubernetes for efficient scaling and deployment
