Platform Engineer

Deeplight; Abu Dhabi; On-site; USD 50,000 - 80,000; Full time

Job summary

DeepLight seeks an AWS Platform Engineer to enhance its cloud infrastructure for AI workloads in Abu Dhabi. You will manage and deploy AWS services, ensure security compliance, and optimize performance, contributing to innovative AI solutions. Join a dynamic team committed to making an impact in the AI sector.

Benefits

Opportunity for professional development

Culture of collaboration and recognition

Impactful projects in AI and data engineering

Qualifications

• Proven experience as an AWS Platform Engineer or similar.
• Strong background in implementing cloud infrastructure.
• In-depth knowledge of AWS services and containerization technologies.

Responsibilities

• Design, implement, and maintain secure AWS infrastructure.
• Implement Infrastructure as Code using Terraform or CloudFormation.
• Monitor and optimize system performance for operational efficiency.

Skills

AWS Services

Automation

Security Best Practices

CI/CD

Problem Solving

Education

AWS Certified Solutions Architect

Tools

Docker

Kubernetes

Terraform

Jenkins

Grafana

Job description

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.

Responsibilities :

• AWS Infrastructure Management : Design, implement, and maintain secure, scalable, and highly available AWS infrastructure to support a range of applications and services, ensuring alignment with best practices.
• Automation : Implement Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation to automate the provisioning, deployment, monitoring, and management of AWS resources.
• Security and Compliance : Enforce and implement security best practices and compliance measures, including identity and access management, data protection, encryption, and vulnerability scanning.
• Performance Optimization : Monitor, analyze, and actively implement improvements to system performance, ensuring reliability and operational efficiency across all deployed infrastructure.
• Continuous Integration / Continuous Deployment (CI / CD) : Develop, implement, and manage CI / CD pipelines to automate and streamline the deployment process, enabling rapid and stable delivery of software and infrastructure updates.
• Collaboration : Work closely with development, data, and operations teams to gather requirements, implement solutions, troubleshoot issues, and support full lifecycle deployment of AI and analytics workloads.
• Documentation : Create and maintain comprehensive, implementation-focused documentation for system architecture, deployment processes, workflows, and configuration standards to support operational transparency and onboarding.

Requirements :

• Proven experience as an AWS Platform Engineer or in a similar role, with a strong background in implementing and managing cloud infrastructure and services in production environments.
• In-depth knowledge and hands-on experience with AWS services, including EC2, S3, RDS, Lambda, CloudFront, IAM, VPC, and others, supported by relevant certifications (e.g., AWS Certified Solutions Architect).
• Practical experience implementing and managing containerization technologies such as Docker and Kubernetes, with an understanding of microservices architecture and orchestration.
• Demonstrated ability to implement and support DevOps practices and tooling, including CI / CD systems and monitoring platforms such as Jenkins, Git, Prometheus, or Grafana.
• Strong analytical and problem-solving skills, with a track record of translating design into implementation in a collaborative, fast-paced environment.
• A commitment to continuous learning and hands-on adoption of emerging technologies, tools, and best practices within the cloud computing and infrastructure domain.

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.