AWS Platform Engineer

Responsibilities

• Design, implement, and maintain secure, scalable, and highly available AWS infrastructure for diverse applications and services, adhering to best practices.
• Implement Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation to automate provisioning, deployment, monitoring, and management of AWS resources.
• Enforce and implement security best practices and compliance measures, including identity and access management, data protection, encryption, and vulnerability scanning.
• Monitor, analyze, and actively implement improvements to system performance, ensuring operational reliability and efficiency across all infrastructure.
• Develop, implement, and manage CI/CD pipelines for deploying software and infrastructure updates efficiently and reliably.
• Collaborate with development, data, and operations teams to gather requirements, implement solutions, troubleshoot, and support full lifecycle deployment of AI and analytics workloads.
• Create and maintain comprehensive 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 expertise 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 related tools. Relevant AWS certifications (e.g., AWS Certified Solutions Architect) are a plus.
• Practical experience with containerization technologies such as Docker and Kubernetes; understanding of microservices architecture and orchestration.
• Strong ability to implement and support DevOps practices and tooling (CI/CD systems and monitoring platforms such as Jenkins, Git, Prometheus, or Grafana).
• Excellent analytical and problem-solving skills, with a track record of translating design into implementation in dynamic, team-based environments.
• Commitment to continuous learning and hands-on adoption of emerging technologies, tools, and best practices in cloud computing and infrastructure.

Benefits

• Impact: Be part of a dynamic team 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.
• Collaboration: Collaborate with a diverse group of experts, fostering creativity, learning, and growth.
• Opportunity: 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 recognized.

If you are passionate about data engineering, AI, and innovation, and thrive in a collaborative, fast-paced environment, apply now to join DeepLight and help unlock the potential of AI for a brighter future!

About the Company

DeepLight is a pioneering AI company committed to advancing 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 expert team and a culture of relentless innovation, we lead the way in AI research and development.