Job Summary
The Intermediate AWS Infrastructure Engineer is a mid-level platform and infrastructure engineer responsible for building, maintaining, and supporting AWS cloud infrastructure for AI/ML and Data Science teams. The role focuses on Kubernetes, Docker, Terraform, production support, infrastructure automation, cloud operations, and platform engineering. The engineer will independently handle day-to-day infrastructure tasks, troubleshoot operational issues, support infrastructure deployments, and collaborate with senior engineers on complex architecture and proof-of-concept initiatives as needed.
Key Responsibilities
• Build, maintain, and support AWS cloud infrastructure.
• Work with Kubernetes clusters to support platform and infrastructure requirements.
• Manage Docker containers and images.
• Use Terraform for infrastructure automation and Infrastructure as Code.
• Support production environments and respond to operational incidents.
• Participate in infrastructure deployments and ongoing platform support.
• Troubleshoot infrastructure issues and provide operational support.
• Perform day-to-day cloud engineering and platform operations independently.
• Collaborate with senior engineers on complex troubleshooting, architecture efforts, and proof-of-concept initiatives.
• Support cloud platforms and infrastructure used by AI/ML and Data Science teams.
Required Qualifications
• 2-3 years of hands-on experience in cloud infrastructure, platform engineering, DevOps, or a related field.
• Experience building and supporting AWS infrastructure.
• Hands-on experience with Kubernetes.
• Experience managing Docker containers and images.
• Experience using Terraform for infrastructure automation.
• Production support experience, including troubleshooting and operational incident handling.
• Background in cloud platform engineering and cloud operations.
• Ability to perform day-to-day engineering tasks independently and seek senior guidance when troubleshooting complex issues.
• Experience using cloud infrastructure technologies in production environments.
Preferred Qualifications
• Exposure to CI/CD pipelines.
• Knowledge of Identity and Access Management (IAM).
• Experience working across multiple responsibilities, including Platform Engineer, DevOps Engineer, or Cloud Engineer.
• Exposure to AI/ML platform support.
• Limited exposure to infrastructure architecture design and proof-of-concept activities.
