AI Infrastructure Engineer - Remote Scalability Expert

Placements24; United States; Remote; USD 130,000 - 170,000; Full time

Benefits offered by this job

Health benefits

Home office allowance

Remote-first culture

Professional development

Job summary

Placements24 is seeking an experienced AI Infrastructure Engineer to design, deploy, and manage scalable cloud infrastructure for AI/ML workloads. The role emphasizes Kubernetes orchestration, CI/CD automation, and MLOps practices to support large-scale models and data pipelines.

You will collaborate with AI/ML engineers and data scientists, ensure security, monitor performance, and optimize systems for reliability and cost efficiency in a fully remote environment.

Qualifications

• BS in CS/Engineering or related field and 5+ years in cloud infra for AI/ML.
• Proven experience with AWS/Azure/GCP and managed Kubernetes services.
• Strong Docker/Kubernetes expertise and containerized workflows.
• Hands-on with CI/CD and infrastructure-as-code (Terraform/Ansible).
• Scripting in Python or Bash; solid networking and security basics.

Responsibilities

• Design, deploy, and maintain scalable AI/ML cloud infrastructure.
• Operate container orchestration platforms (Kubernetes).
• Develop and automate CI/CD pipelines for ML models and infra (MLOps).
• Monitor performance, optimize for scale and cost.
• Ensure secure data storage and robust security measures.
• Collaborate with AI/ML engineers and data scientists.
• Troubleshoot complex issues in production.

Skills

Cloud architecture

Kubernetes

Docker

Terraform

Ansible

Python/Bash

Networking

Distributed systems

Problem solving

Education

Bachelor's degree

Tools

Docker

Kubernetes

Terraform

Ansible

Git

Job description

About the Role

Our client, a forward-thinking AI company focused on delivering scalable machine learning solutions, is looking for an experienced AI Infrastructure Engineer to join their completely remote team. This role is critical for designing, implementing, and managing the cloud infrastructure that supports our extensive AI models and big data processing. You will be responsible for ensuring the scalability, reliability, and performance of our AI platform, leveraging cutting-edge cloud technologies and MLOps practices. This is an exceptional opportunity for an engineer passionate about building robust infrastructure for AI, working remotely with a global team. The ideal candidate will have a deep understanding of cloud platforms, container orchestration, and automation, with a proven ability to optimize systems for large-scale AI workloads. As a fully remote position, you will enjoy the flexibility to work from your preferred location while contributing to groundbreaking AI initiatives.

Key Responsibilities

• Design, deploy, and maintain scalable and secure cloud infrastructure for AI/ML workloads (AWS, Azure, or GCP).
• Implement and manage container orchestration platforms, primarily Kubernetes.
• Develop and automate CI/CD pipelines for machine learning models and infrastructure updates (MLOps).
• Monitor system performance, identify bottlenecks, and implement optimizations for scalability and cost-efficiency.
• Manage data storage solutions and ensure efficient data pipelines for AI applications.
• Implement robust security measures for cloud infrastructure and AI services.
• Collaborate with AI/ML engineers and data scientists to understand their infrastructure requirements.
• Troubleshoot and resolve complex infrastructure issues in a production environment.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
• 5+ years of experience in cloud infrastructure engineering, with a significant focus on AI/ML systems.
• Proven experience with major cloud providers (AWS, Azure, GCP) and their managed Kubernetes services.
• Strong expertise in containerization (Docker) and orchestration (Kubernetes).
• Hands-on experience with CI/CD tools and infrastructure-as-code (e.g., Terraform, Ansible).
• Proficiency in scripting languages like Python or Bash.
• Understanding of networking concepts, security best practices, and distributed systems.
• Excellent problem-solving skills and ability to work independently in a remote setting.

Benefits

This fully remote role offers a highly competitive salary, comprehensive health benefits, and a generous allowance for home office setup and professional development. You will have the opportunity to work on challenging projects with a talented, distributed team and contribute to the core infrastructure of advanced AI technologies. Our client promotes a flexible work environment, prioritizing employee well-being and work-life balance. Stock options or performance bonuses may be offered. Continuous learning is encouraged through access to online courses and industry conferences.