abra R&D Solutions is a solution provider in the Cloud, Security and DevOps markets for businesses, provide unique opportunity to innovate, get into new markets quickly, mitigate risks effectively and deliver a high customer engagement as for today’s demand.

DevOps practices heavily rely on automation, continuous integration/continuous deployment (CI/CD) pipelines, cloud platforms, and configuration management tools. As a DevOps Engineer at abra R&D Solutions you would be responsible for collaborating with both development and operations teams to streamline software delivery, improve deployment processes, and enhance overall system reliability.

This role offers a unique blend of technical skills, problem-solving abilities, and collaboration, making it an excellent career choice for those who enjoy working at the intersection of development and operations.

One of the most exciting aspects of being a DevOps professional is the opportunity to work with cutting-edge technologies and tools.

As a DevOps engineer, you will have the chance to explore and implement these technologies, gaining hands-on experience and building a strong foundation in modern software development practices.

Requirements:

• 2-3 Years of experience working with the following tools and practices:
• Docker - Mandatory: Proficiency in operating and managing applications within a Docker environment, including understanding concepts such as images, containers, networks, and resource management.
• Kubernetes - Mandatory: Proficiency in managing and operating a Kubernetes system for container management and automation. This includes familiarity with fundamental Kubernetes concepts such as pods, services, configuration, and monitoring.
• Jenkins - Advantage: Knowledge of configuring, setting up, and managing Jenkins, a popular tool used for building and managing CI/CD pipelines and automation processes.
• Familiarity working with Cloud (Azure).
• Experience working with Terraform.
• Experience working with GIT and CI/CD.
• Familiarity with Linux OS.
• Good knowledge with Kafka.
• Familiarity with ActiveMQ or similar.