D

Platform Engineer

Deeplight

Platform Engineer

Posted 7 months ago

Employment Type

Full Time

Location

Dubai

Experience

Mid Level, Senior

Job Listing No Longer Available

This job posting is no longer accepting applications. It may be more than 30 days old or the position has been filled.

Requirements

AWS cloud, Terraform, DevOps, Docker/Kubernetes, CI/CD pipelines, AI/ML infrastructure, Security compliance, Documentation

Required Skills

AWS Terraform Docker Kubernetes CI/CD MLOps DevOps Prometheus Grafana Jenkins Cloud Infrastructure GPU microservices

Job Description

Responsibilities

  • Design, implement, and maintain secure, scalable, and highly available AWS cloud infrastructure for real-time AI workloads and enterprise applications.
  • Implement Infrastructure as Code (IaC) using tools like Terraform to automate provisioning, deployment, monitoring, and management of cloud infrastructure.
  • Enforce strict security and compliance practices, including identity and access management, data protection, encryption, and vulnerability scanning for AI data pipelines.
  • Monitor, analyze, and optimize system performance, ensuring reliability and operational efficiency for ML model training and inference workloads.
  • Develop and manage CI/CD pipelines to streamline deployments, including integration with MLOps workflows for rapid delivery of AI applications.
  • Collaborate with software engineering, data, and operations teams to gather requirements, implement solutions, troubleshoot, and support the full deployment lifecycle.
  • Create and update detailed documentation for system architecture, deployment workflows, configuration standards, and operational processes.

Requirements

  • Proven experience as a Platform or Infrastructure Engineer (or similar), with a strong track record in cloud infrastructure for scalable applications and AI workloads.
  • Hands-on with a variety of cloud platforms/services (compute, storage, networking, identity management, container orchestration) in public cloud, hybrid, or on-prem environments.
  • Proficiency in Docker, Kubernetes, microservices architectures, and distributed systems design.
  • Demonstrated experience in DevOps, including CI/CD pipeline creation, configuration management, and system monitoring (Jenkins, Git, Prometheus, Grafana).
  • Experience with AI/ML infrastructure: provisioning GPU environments, managing ML training pipelines, deploying models in production with automation and MLOps tools.
  • Strong analytical and problem-solving skills, delivering production-ready infrastructure in cross-functional, data-centric teams.
  • Commitment to continuous learning and staying abreast of advances in cloud infrastructure, automation, and AI operations.

Benefits

  • Impact: Work with a dynamic team at the forefront of AI to make meaningful industry and societal impact.
  • Innovation: Participate in cutting-edge projects at the intersection of AI, data engineering, and machine learning.
  • Collaboration: Collaborate with diverse talent, fostering creativity, learning, and professional growth.
  • Opportunity: Access ample opportunities for personal development, advancement, and leadership in a rapidly growing company.
  • Culture: Join a culture of curiosity, excellence, and collaboration where your ideas and contributions are valued.

About the Company

DeepLight is a pioneering AI company leading the way in artificial intelligence innovation. With a mission to harness data and machine learning for industry transformation, DeepLight is driven by a team of experts and a relentless pursuit of excellence in AI R&D.

How to Apply

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