AWS Platform Engineer

Get AI-powered advice on this job and more exclusive features.Sign in to access AI-powered advices Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google About Deep Light: Deep Light 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.About Deep Light: Deep Light 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: Deep Light 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 Deep Light'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 Certainly — here is your revised list, now clearly divided into Responsibilities and Requirements, with implementation emphasis retained: 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 (Ia C) using tools such as Terraform or Cloud Formation 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, Cloud Front, 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 Dev Ops 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 Benefits Why Join Deep Light?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 Deep Light and be part of our journey to unlock the potential of AI for a brighter future.Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Deeplight AI by 2x 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