DevOps Engineer

Job Title: DevOps Engineer
Employment Type: Full-time
Location: Remote
Shift: Night Shift

About the Role

We are seeking a skilled DevOps Engineer to join our Hadoop/Big Data Infrastructure Team. The role involves managing and supporting large-scale distributed systems and automating infrastructure operations across global data centers. You will play a key role in ensuring system reliability, scalability, and performance across 5000+ compute, storage, and distributed systems.

Key Responsibilities

• Provide operational support for Hadoop clusters and other Big Data tools such as HBase, Scylla, Hive/Hue, Kafka, and Storm.

• Automate deployments and operations to enhance efficiency and reliability.

• Perform upgrades of Hadoop and associated tools as required.

• Fine-tune configurations using management tools such as Puppet and InfraDB (in-house Ruby on Rails CM Database).

• Orchestrate deployments and services using Ansible.

• Implement continuous integration processes following change management protocols using Git and Gerrit.

• Develop monitoring and alerting scripts using Python and Bash/Shell.

• Monitor system health using tools like Nagios, Graphite, Grafana, OpenTSDB, and Prometheus.

• Troubleshoot and optimize system and service performance.

• Collaborate with cross-functional teams, including Data Center Operations, NOC, Network, Database, and Engineering.

• Track and resolve incidents, conduct root cause analysis, and maintain detailed runbooks and documentation.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or a related field.

• Proven experience in DevOps, Big Data infrastructure, or system administration.

• Hands-on expertise in Linux-based systems, automation tools, and monitoring platforms.

• Strong problem-solving and collaboration skills.

Compensation Range: ₹2.2L - ₹2.4L