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Geospatial Cloud DevOps Engineer (Python)

Esri

Sharjah

On-site

AED 120,000 - 200,000

Full time

Today
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Job summary

A leading GIS technology company in Sharjah seeks a skilled specialist to enhance Cloud Infrastructure for imagery management within ArcGIS. This role involves designing and managing data processing workflows, handling deployment automation, and ensuring user success with imagery services. The ideal candidate will have 2 years of relevant experience, strong skills in AWS or Azure, and proficiency in Python. Excellent problem-solving abilities and communication skills are essential. Join us to innovate in imagery processing at scale.

Qualifications

  • 2 years of relevant work experience with cloud technologies.
  • Strong problem-solving and analytical skills.
  • Excellent written and verbal communication skills.

Responsibilities

  • Design, implement, manage and orchestrate cloud data processing workflows.
  • Build deployment automation scripts.
  • Manage continuous integration software build systems.
  • Design and implement monitoring systems.
  • Respond to alerts and troubleshoot issues.
  • Help develop and extend Various Imagery Implementation.
  • Identify process bottlenecks and implement solutions.

Skills

Linux servers
Windows Servers
Amazon Web Services (EC2, S3, EBS, VPC, Lambda, Route 53, SQS)
Microsoft Azure
Databases (MySQL/PostgreSQL/NoSQL)
Python
Continuous integration and deployment
Git
Jenkins

Education

Bachelor's in computer science, remote sensing or related field
Job description
A leading GIS technology company in Sharjah seeks a skilled specialist to enhance Cloud Infrastructure for imagery management within ArcGIS. This role involves designing and managing data processing workflows, handling deployment automation, and ensuring user success with imagery services. The ideal candidate will have 2 years of relevant experience, strong skills in AWS or Azure, and proficiency in Python. Excellent problem-solving abilities and communication skills are essential. Join us to innovate in imagery processing at scale.
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