DevOps Specialist

2 weeks ago


Islamabad, Islamabad, Pakistan Kodifly Full time

About Kodifly

Kodifly is at the forefront of transforming infrastructure monitoring through advanced spatial intelligence. Our expertise lies in pioneering 3D point cloud processing, digital twin creation, and cutting-edge LiDAR technology. We specialize in providing real-time, actionable insights that enhance the safety, efficiency, and sustainability of infrastructure projects.

Job Overview

We are seeking a talented DevOps Engineer with a focus on edge & cloud data processing to join our dynamic team in Islamabad, Pakistan. Your role will be pivotal in developing state-of-the-art applications for the edge and cloud. The expertise you bring to the table will be crucial in using point cloud data to empower smart cities.

Key Responsibilities:

  • Design, implement, and maintain scalable and reliable infrastructure solutions.
  • Develop and maintain CI/CD pipelines for the seamless delivery of software applications.
  • Collaborate with development teams to ensure efficient and effective software releases.
  • Monitor and optimize system performance, ensuring high availability and scalability.
  • Implement and maintain infrastructure as code using tools such as Terraform or CloudFormation.
  • Automate routine tasks and processes to improve efficiency and reduce manual effort.
  • Perform regular system audits and security assessments to identify and address vulnerabilities.
  • Troubleshoot and resolve infrastructure and deployment issues in a timely manner.
  • Stay up-to-date with industry trends and best practices in DevOps and cloud technologies.
  • Collaborate with cross-functional teams to drive continuous improvement and innovation.
  • Create cutting-edge applications for the edge and cloud.
  • Participate in the design and development of new features that utilize cutting-edge computer vision techniques to advance our digital twin technology.
  • Analyze performance data and iterate on our solutions to enhance accuracy and robustness in spatial data handling.


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