Description

You will design and build cloud infrastructure and platform pipelines for application teams.

Responsibilities

• Design and deploy AWS GenAI solutions using Amazon Bedrock for scalable, low-latency inference.
• Establish enterprise AI platform patterns balancing performance, cost, and safety via managed inference and prompt governance.
• Integrate Amazon Q/Kiro into cloud operations to accelerate troubleshooting and root-cause analysis.
• Partner with security and application teams to operationalize responsible AI usage according to enterprise standards.
• Automate provisioning of AWS resources leveraging a strong platform engineering background.

Required Skills

• 5+ years of professional experience developing infrastructure and platform pipelines.
• 3+ years of direct AWS experience.
• Strong developer mindset with experience in CloudFormation, Terraform, Python, YAML, and JSON.
• Expertise in core AWS networking components: VPC, AZs, Subnets, Route53, ALB/NLB, WAF.
• Proficiency with security controls including Security Groups and NACLs.
• Experience with core compute and management services: EC2, Systems Manager.
• Familiarity with configuration management and CI/CD tooling such as Ansible, Jenkins, and Azure Devops.
• Strong knowledge of Linux (RHEL 8.x-9.x, SUSE) and Windows Server 2019 or greater.
• Fundamental understanding of networking concepts (TCP/IP, DNS, Routing).

Preferred Skills

• AWS Certifications.
• Experience with Containers (ECR, EKS).

Key Skills

Education

Bachelor's degree