About the role

Aplyr's Quick Take

This role is for a DevOps Engineer focused on managing and automating large-scale Hadoop and Big Data systems. You'll be responsible for system reliability, performance, and operational support, working primarily with automation tools and monitoring platforms. It's an individual contributor role with a strong emphasis on technical skills.

Good fit

Ideal candidates have a background in DevOps or system administration with hands-on experience in Linux and Big Data tools. You should be comfortable working independently, especially during night shifts, and have strong problem-solving skills.

Worth noting

The position requires night shifts, which may not suit everyone. The role involves significant collaboration with various teams, indicating a need for good communication skills in addition to technical expertise.

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.

Skills & Tags

python ai ios devops data

Aplyr's read

Dehaze Labs is a cutting-edge tech firm specializing in AI and data analytics, attracting tech-savvy innovators and problem solvers.
Synthesized from recent postings & public sources

What's promising

•Strong focus on AI positions Dehaze Labs at the forefront of tech innovation.
•Recent hiring of DevOps and Python developers suggests growth in technical capabilities.
•Innovative solutions in data analytics offer employees exposure to advanced technologies.

What to watch

•Limited public information about financial stability may concern potential applicants.
•Niche focus on AI and data analytics might limit broader tech opportunities.
•Rapid growth could lead to resource strain and operational challenges.

Why Dehaze Labs

•Specialization in AI-driven solutions differentiates Dehaze Labs from general tech firms.
•Focus on data analytics provides a unique platform for data scientists.
•Dehaze Labs' commitment to innovation attracts forward-thinking tech professionals.

Aplyr’s read is generated by AI from public sources. Was it useful?