Cloud infrastructure engineer

Location

San Jose, CA (On-site)

Cloud Infrastructure Engineer

Job Overview

We are seeking an experienced Cloud Infrastructure Engineer to design, deploy, and operate secure, scalable, and highly available cloud infrastructure, primarily within AWS . Azure AI platforms (Azure OpenAI, Databricks, AI Gateway) and GPU-based LLM infrastructure. The ideal candidate will have strong expertise in cloud architecture, Infrastructure as Code, automation, networking, security, and production operations.

This role will be responsible for leading cloud infrastructure initiatives from architecture and implementation through production support while ensuring technical standards, security, compliance, documentation, and operational excellence.

Key Responsibilities

Design, deploy, and manage secure, scalable, and highly available AWS cloud infrastructure .

Develop and maintain Infrastructure as Code using Terraform .

Automate infrastructure provisioning, configuration, deployment, and operational processes using scripting and automation tools.

Design and manage cloud networking components including VPCs, subnets, routing, load balancers, VPNs, DNS, firewalls, and enterprise connectivity .

Implement and manage cloud identity and access management (IAM) , security controls, and least-privilege access.

Support cloud security, compliance, governance, and risk-management requirements.

Design and implement high availability, disaster recovery, backup, and business continuity solutions.

Troubleshoot and resolve complex infrastructure issues across compute, storage, networking, security, and cloud services .

Monitor infrastructure performance, availability, capacity, and reliability and proactively address potential issues.

Collaborate with DevOps, security, application, and architecture teams to deliver reliable cloud solutions.

Participate in cloud migration, modernization, and infrastructure optimization initiatives.

Establish and maintain infrastructure standards, technical documentation, runbooks, and operational procedures.

Conduct root-cause analysis for production incidents and implement corrective and preventive actions.

Ensure cloud environments adhere to organizational security, compliance, and business requirements.

Provide technical guidance and contribute to cloud architecture and infrastructure strategy.

Required Skills & Qualifications

Azure AI platforms (Azure OpenAI, Databricks, AI Gateway) and GPU-based LLM infrastructure.

Strong hands-on experience with AWS cloud services and infrastructure .

Strong experience with Terraform and Infrastructure as Code (IaC) .

Experience with cloud networking concepts including VPC, subnets, routing, security groups, NACLs, VPN, DNS, and load balancing .

Strong understanding of AWS IAM, security, encryption, and access management .

Experience with AWS compute, storage, database, monitoring, and networking services .

Strong scripting and automation skills using Python, Bash, or similar scripting languages .

Experience with cloud monitoring, logging, troubleshooting, and incident management.

Strong understanding of high availability, disaster recovery, backup, and business continuity .

Experience working with enterprise-scale cloud environments.

Strong problem-solving and analytical skills.

Excellent communication and collaboration skills.

Preferred Qualifications

• Experience with CI/CD and DevOps practices .
• Experience with Git, Jenkins, GitHub Actions, GitLab CI/CD, or similar tools .
• Experience with Docker and Kubernetes/EKS .
• Knowledge of cloud security frameworks and compliance standards.
• Experience with AWS Organizations, Control Tower, CloudTrail, Config, GuardDuty, Security Hub, and KMS .
• AWS certifications such as AWS Solutions Architect, AWS SysOps Administrator, or AWS DevOps Engineer are a plus.
• Education Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field preferred.
• Equivalent professional experience may be considered.
• Soft Skills Strong ownership and accountability.
• Excellent troubleshooting and problem-solving abilities.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong documentation and communication skills.
• Ability to lead infrastructure initiatives and work effectively with cross-functional teams.