DevOps Engineer
Core
Solving real-life deployment and scalability problems for ML/AI/Big data analytics technologies.
Role type
DevOps Engineer
Builds
Production ML/AI/Big data analytics infrastructure
Domain
Cloud infrastructure, Big Data, Machine Learning
Deliverable
infrastructure
Required skills
Ansible, Jenkins, Kubernetes, Docker, HDFS, HBase, Elasticsearch, Kafka, Spark, nginx, Azure, AWS, Linux administration, scripting languages
Preferred skills
proactive problem solving, reading deployment documentation
Technologies
Azure, AWS, Ansible, Jenkins, Kubernetes, Docker, HDFS, HBase, Elasticsearch, Kafka, Spark, nginx, Linux (RHEL/CentOS/Debian/Ubuntu)
Responsibilities
Deploy and maintain clusters on Azure and AWS; manage deployment and maintenance of Big Data and ML components; administer Linux environments.
Seniority
Individual Contributor
Rewrite
## About the role
We are looking for a pro-active intelligent problem solver. You will be solving real life deployment and scalability problems for latest ML/AI/Big data analytics technologies. You are expected to be an expert in Ansible, Jenkins, Kubernetes, Dockers. A hands on experience in deployment and maintenance of components such as HDFS, HBase, Elasticsearch, Kafka, Spark, nginx etc is a must.
## Requirements
- Proficient in cluster deployment in Azure and AWS.
- Master of a scripting language.
- Expert in Ansible, Jenkins, Kubernetes, Dockers.
- Hands on experience in deployment and maintenance of components such as HDFS, HBase, Elasticsearch, Kafka, Spark, nginx etc
- Basic Linux (RHEL/CentOS/Debian/Ubuntu) administration
- Ability to read, understand and implement various deployment documentations.
- Great team player with excellent written & verbal communication skills
## What we offer
- Free personal and family medical insurance
- Free accidental insurance
- Free lunch
- Unlimited snacks/juice/tea/coffee
- Open culture
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