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Infrastructure Engineer

St. Louis, MO, USA

Job Type

Full Time

Workspace

Hybrid

About the Role

We are seeking a dedicated and experienced Infrastructure Engineer to join our dynamic team and contribute to the development of cutting-edge cloud solutions. We are recruiting candidates with minimum of 8+ years in Platform Infrastructure, AI & Gen AI applications, and architecting scalable, reliable, and secure infrastructure solutions on AWS or GCP.

Requirements

Must-Have Technical/Functional Skills:

  • 8+ years in infrastructure engineering, focusing on cloud platforms and services.

  • Expertise in AWS services, including compute, storage, networking, and security.

  • Proficiency in infrastructure as code (IaC) tools like Terraform, ARM templates, or AWS Resource Manager.

  • Experience with containerization and orchestration technologies (Docker, Kubernetes) is a plus.

  • Strong understanding of networking principles (TCP/IP, DNS, VPN, firewall configurations).

  • Excellent problem-solving skills and attention to detail.

  • Effective communication and collaboration skills in a fast-paced, cross-functional team environment.

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.


Experience Required: 8 – 10 years


Roles & Responsibilities:

  • Design, deploy, and manage cloud infrastructure solutions on AWS and GCP to support AI, client, and data analytics workloads.

  • Implement best practices for infrastructure as code (IaC) using tools such as Terraform, ARM templates, or AWS Resource Manager.

  • Configure and optimize cloud services and resources for performance, scalability, and cost efficiency.

  • Implement security controls and compliance measures to protect infrastructure and data assets.

  • Automate infrastructure provisioning, deployment, and management processes to streamline operations.

  • Collaborate with solution architects, data engineers, and other stakeholders to design end-to-end infrastructure solutions.

  • Monitor infrastructure performance and reliability, implementing proactive measures to ensure high availability and uptime.

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