Middleware Engineer with Java

3 days ago


Islamabad, Islamabad, Pakistan FuseMachines Full time

About Fusemachines

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  • Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries.
  • Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities.
  • We have a robust presence in four countries and a dedicated team of over 400 full-time employees.
  • At Fusemachines, we bridge the gap between AI advancement and its global impact, while striving to deliver the most advanced technology solutions to the world.

About the Role

  • We are looking for a Middleware Engineer with hands-on Java & Python experience and proven analytical and problem-solving skills.
  • The ideal candidate will be responsible for the configuration, deployment, and management of middleware systems to support enterprise applications.
  • This role involves working closely with development, operations and infrastructure teams to ensure the seamless integration of applications and systems while optimizing performance and reliability.
Main Responsibilities:
  1. Install, configure and maintain middleware technologies (experience with any of these: Websphere, Weblogic, Tomcat, JBoss, Kafka, RabbitMQ or similar).
  2. Ensure high availability, scalability and reliability of middleware systems.
  3. Design and implement solutions for system and application integration.
  4. Automate routine tasks, processes, legacy data fusion.
  5. Optimize middleware performance and recommend improvements.
  6. Design and development of middleware components.
  7. Design and implement API necessary for the integration and or data consumption.
  8. Work independently and collaboratively on a multi-disciplined project team in an Agile development environment.
  9. Be actively involved in the design, development and testing activities for Big Data product.
  10. Provide feedback to development teams on code/architecture optimization.

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