Senior Cloud Design Engineer - Big Data & Hadoop (Level 3)

Avalore

Maryland

On-site

USD 140,000 - 200,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Retirement Plan (401k)
Life Insurance
Paid Time Off
Disability Insurance
Training & Development
Employee Assistance Program

Job summary

Avalore is seeking a Cloud Design Engineer, Level 3, to design, develop and maintain large-scale cloud data systems. You will implement MapReduce analytics, build IR workflows, and guide multi-node cloud deployments using Hadoop and related technologies.

The role requires deep expertise in cloud computing, Java, distributed computing, and security clearances. Collaboration with teams to optimize performance and ensure documentation quality is essential.

Qualifications

  • Bachelor’s degree in CS or related field; 12+ years of software engineering preferred.
  • Strong background in cloud computing and big data technologies.
  • Experience with Hadoop ecosystem, MapReduce, and IR systems.
  • Proficient in Java, RESTful services, and distributed architectures.

Responsibilities

  • Lead design and development of cloud-based data processing systems.
  • Implement Cloud MapReduce analytics and IR workflows.
  • Develop and test cloud software components; oversee multi-node installations.
  • Evaluate technologies and improve documentation and processes.

Skills

Cloud Computing
Information Retrieval
Distributed Computing
Java
RESTful Web Services
MapReduce
Hadoop
JVM Tuning
Unix/Linux
CentOS

Education

Bachelor's degree in Computer Science or related discipline
Master's degree in Computer Science or related

Tools

Hadoop
Cloudera
Maven
Eclipse
Linux

Job description

Avalore is seeking a Cloud Design Engineer, Level 3, to design, develop and maintain large-scale cloud data systems. You will implement MapReduce analytics, build IR workflows, and guide multi-node cloud deployments using Hadoop and related technologies.

The role requires deep expertise in cloud computing, Java, distributed computing, and security clearances. Collaboration with teams to optimize performance and ensure documentation quality is essential.

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