Platform Engineer

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.