DevOps Engineer

Job Overview

We are seeking a skilled DevOps Engineer to join our Hadoop/Big Data Infrastructure Team. This remote work engineering position involves managing and supporting large-scale distributed systems and automating infrastructure operations across global data centers. The role plays a key part 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

Required 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.