Full Stack Platform Engineer – Cloud AI Platform

Remotedxb

Dubai

On-site

AED 300,000 - 420,000

Full time

14 days+

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Job summary

Remotedxb in Dubai is seeking a senior software engineer to design and build a cloud-based AI platform framework. You will work with cross-functional teams to deliver a highly available, secure solution and continuously improve performance and reliability.

The role requires strong backend experience with Python, Kafka and Spark, containerization with Docker or Kubernetes, and familiarity with AWS services. You will evaluate new technologies and contribute to scalable REST APIs and data storage

Qualifications

  • Experience building cloud-native architecture.
  • Containerization experience with Docker or Kubernetes.
  • Experience with SVG programming.
  • Proficiency with front-end frameworks such as React Native, Angular, or Flask.
  • Strong backend experience with Python, Kafka, and Spark.
  • Experience with PostgreSQL or NoSQL databases.
  • Experience with AWS services (EC2, S3, RDS, Lambda, API Gateway).
  • Experience developing and integrating REST APIs.

Responsibilities

  • Design and develop robust, scalable software for a cloud-based AI platform framework.
  • Work with cross-functional teams to deliver a highly available and secure platform.
  • Continuously improve platform functionality, performance, and reliability.
  • Evaluate new technologies to optimize the system.
  • Manage technical operations and complex deployments.

Skills

Cloud-native architecture
Docker/Kubernetes
SVG programming
Front-end frameworks
Python/Kafka/Spark
PostgreSQL/NoSQL
AWS services
REST APIs

Education

Bachelors or Masters in Computer Science/Engineering

Job description

Remotedxb in Dubai is seeking a senior software engineer to design and build a cloud-based AI platform framework. You will work with cross-functional teams to deliver a highly available, secure solution and continuously improve performance and reliability.

The role requires strong backend experience with Python, Kafka and Spark, containerization with Docker or Kubernetes, and familiarity with AWS services. You will evaluate new technologies and contribute to scalable REST APIs and data storage

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