DevOps Engineer
Summary
DevOps Engineer who solves deployment and scalability problems for ML/AI/big data analytics technologies. Day-to-day work involves cluster deployment on Azure and AWS, plus managing Ansible, Jenkins, Kubernetes, Docker, HDFS, HBase, Elasticsearch, Kafka, Spark, and nginx on Linux.
Compensation: ₹7L – ₹10L • 0.5% – 1.75%
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.
Required skills: • 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
Perks: • Free personal and family medical insurance • Free accidental insurance • Free lunch • Unlimited snacks/juice/tea/coffee • Open culture