DeepLight is a pioneering AI company committed to pushing the boundaries of innovation in artificial intelligence. Our mission is to harness the power of data and machine learning to revolutionize industries and create a brighter future. With a dynamic team of experts and a culture of relentless innovation, we are at the forefront of AI research and development.
Position Overview:
DeepLight is seeking an experienced AWS Platform Engineer to join our cutting-edge technology team in the UAE. This role goes beyond design and development—you will be directly responsible for implementing, deploying, and operationalizing our cloud infrastructure on AWS to support real-time AI workloads and enterprise-grade solutions.
You will lead the end-to-end implementation of robust, scalable, and secure cloud architectures that enable DeepLight's data pipelines, machine learning platforms, and client-facing applications. Your work will ensure that our solutions move seamlessly from design into production, powering our mission-critical systems.
Requirements
Responsibilities:
Cloud Infrastructure Management: Design, implement, and maintain secure, scalable, and highly available cloud infrastructure to support a range of applications and services, including data-intensive and AI workloads, following industry best practices
Automation: Implement Infrastructure as Code (IaC) using tools such as Terraform or equivalent to automate the provisioning, deployment, monitoring, and management of cloud infrastructure across environments
Security and Compliance: Enforce and implement security best practices and compliance measures, including identity and access management, data protection, encryption, and vulnerability scanning—especially for AI and analytics data pipelines
Performance Optimization: Monitor, analyze, and actively improve system performance, ensuring reliability and operational efficiency across workloads, including those supporting machine learning model training and inference
Continuous Integration/Continuous Deployment (CI/CD): Develop, implement, and manage CI/CD pipelines to streamline deployment processes, including integration with MLOps workflows for rapid and stable delivery of applications and AI services
Collaboration: Work closely with software engineers, data teams, and operations groups to gather requirements, implement solutions, troubleshoot issues, and support the full deployment lifecycle for analytics and AI workloads
Documentation: Create and maintain comprehensive documentation for system architecture, deployment workflows, configuration standards, and operational processes—including infrastructure components relevant to AI and machine learning
Requirements:
Proven experience as a Platform or Infrastructure Engineer, or in a similar role, with a strong background in building and maintaining cloud-agnostic infrastructure environments supporting scalable applications and AI workloads
Hands-on experience with a variety of cloud platforms and services, including compute, storage, networking, identity management, and container orchestration tools, across public cloud, hybrid, or on-prem environments
Proficiency with containerization and orchestration technologies, such as Docker and Kubernetes, and familiarity with microservices-based architecture and distributed systems design
Demonstrated experience in DevOps practices, including CI/CD pipeline creation and integration, configuration management, and system monitoring with tools like Jenkins, Git, Prometheus, or Grafana
Experience supporting AI/ML infrastructure, including the provisioning of GPU-accelerated environments, managing ML training pipelines, and deploying models in production environments using infrastructure automation and MLOps tooling
Strong analytical and problem-solving skills, with a track record of delivering production-ready infrastructure in cross-functional teams, including collaborations with data science and machine learning engineers
Commitment to continuous learning and staying current with emerging technologies and best practices in cloud infrastructure, automation, and AI operations
Benefits
Why Join DeepLight?
Impact: Be part of a dynamic team that is shaping the future of AI and making a meaningful impact on industries and society
Innovation: Work on cutting-edge projects at the intersection of AI, data engineering, and machine learning, leveraging the latest technologies and methodologies
Collaboration: Collaborate with a diverse team of experts from various disciplines, fostering creativity, learning, and growth
Opportunity: Enjoy ample opportunities for professional development, career advancement, and leadership roles in a rapidly growing company
Culture: Join a culture of curiosity, excellence, and collaboration, where your ideas are valued, and your contributions are recognized and rewarded
If you are passionate about data engineering, AI, and innovation, and you thrive in a dynamic and collaborative environment, we want to hear from you! Apply now to join DeepLight and be part of our journey to unlock the potential of AI for a brighter future.
