Key Facts

Remote From:

India

Category: DevOps Engineer

Full time

English

Hard Skills

DevOps Apache Hadoop Big Data Linux Apache HBase Shigella Apache Hive Apache Kafka Apache Storm InnoDB +9 more

Other Skills

•
Problem Solving
•
Collaboration

Roles & Responsibilities

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.

Requirements:

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).

Dehazelabs

About Dehazelabs

DeHaze Labs builds the telemetry, perception, and multimodal AI systems behind data centers, telecommunications networks, smart cities, and industrial operations. We ship the systems that turn AI from POC to production reality. Three practices, anchored in production deployments: → Data Center & Infrastructure AI — Real-time telemetry, observability, and agentic operations for GPU clusters, telecom networks, and critical infrastructure. Anchor work: real-time SIEM at telco scale and our own EdgeTelemetry product (GPU rack onboarding from weeks to hours). → Edge & Perception AI — Computer vision, sensor fusion, and ML inference for physical-world systems. Anchor work: smart-city perception data platform and AI/ML for logistics routes. → Multimodal Enterprise AI Platforms — End-to-end platforms for video, audio, and document intelligence at production scale. Anchor work: SponsorUnited (90%+ manual review reduction via CV + LLM validation pipelines). We embed engineers directly into customer teams. US-based partnership leadership, engineering bench across South Asia, and direct relationships in Indian manufacturing, the emerging Indian space sector, and the global capability centers in Bengaluru and Hyderabad. Talk to us: hello@dhlabs.ai Web: https://dhlabs.ai Blog: https://blog.dhlabs.ai

Founded: 2018

Company size: 11 - 50

Website LinkedIn See all jobs →

Job description

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.