DevOps Engineer

October 24

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DehazeLabs

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Artificial Intelligence • Data Engineering • Fintech

DehazeLabs is a technology company specializing in the development and management of intelligent AI agents designed to enhance operational efficiency and decision-making for businesses, ranging from startups to large enterprises. With a strong focus on data engineering and custom AI solutions, DehazeLabs empowers organizations to leverage their data for actionable insights and improved workflows. Their innovative services also extend to MLOps, edge computing, and advanced analytics, ensuring clients can navigate complex data challenges effectively.

11 - 50 employees

Founded 2017

🤖 Artificial Intelligence

💳 Fintech

📋 Description

• 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.

🎯 Requirements

• 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.