Devops Engineer, Gps

Mo Ai Jobs

Doha, Qatar
On-site
Backend development and system ownership
Infrastructure automation and management
Deployment and scalability
Mo Ai Jobs is seeking a DevOps Engineer for its Global Public Sector team in Doha, Qatar. The position involves developing and maintaining cloud-native AI infrastructure and backend systems, requiring substantial experience in software engineering and DevOps practices

Job Summary

  • Scale’s Global Public Sector team uses AI to address critical challenges, creating custom AI applications, generating training data for national LLMs, and providing upskilling and advisory services.
  • As a DevOps Engineer, you will design and develop core platforms and software systems, supporting orchestration, data abstraction, data pipelines, identity & access management, security tools, and underlying cloud infrastructure.
  • Scale enables the public sector to transform operations and better serve citizens through cutting-edge technology, working with industry leaders and government agencies.

Matching Summary

Match Score: 85

Mo Ai Jobs is seeking a DevOps Engineer for its Global Public Sector team in Doha, Qatar. The position involves developing and maintaining cloud-native AI infrastructure and backend systems, requiring substantial experience in software engineering and DevOps practices.

Skills & Requirements

Must-have

  • backend development and system ownership
  • infrastructure automation and management
  • deployment and scalability
  • disaster recovery and hybrid strategies
  • cloud-native AI infrastructure
  • secure environments

Nice-to-have

  • working cross functionally with operations
  • building solutions with LLMs
  • deep understanding of Gen AI landscape
  • experience with data warehouses
  • experience with authentication/authorization systems

Key Requirements

  • 5+ years of post-graduation engineering experience
  • proficiency in Python, Typescript, Javascript, or C++
  • deep understanding of distributed systems
  • public cloud platforms (AWS and Azure preferred)
  • containerization & deployment technologies like Kubernetes, Terraform, Docker
  • software engineering best practices and CI/CD tooling
  • strong knowledge of network engineering

Work Rights

Not specified

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