Senior AWS Cloud SRE – AI/ML Platform

About the role

Brooksource is seeking a Senior AWS Cloud Site Reliability Engineer (SRE) – AI/ML Platform to join a high-impact Fraud Prevention AI/ML Engineering Team within a Fortune 500 telecommunications client. This contract role involves owning and enhancing AWS infrastructure, automation, reliability, and production environments supporting modern AI/ML and GenAI workloads.

Responsibilities

• Design, operate, and support scalable AWS infrastructure powering production AI/ML, GenAI, and anomaly-detection workloads
• Administer and automate AWS services across networking, compute, identity, storage, containers, serverless, monitoring, and security
• Collaborate with AI/ML and application engineers to productionize models, ML pipelines, LLM/RAG solutions, and other AI-driven services
• Build and maintain infrastructure automation using Terraform and CI/CD, supporting containerized workloads on Kubernetes/EKS and related services
• Enhance platform reliability through monitoring, observability, incident response, troubleshooting, scaling, operational automation, and post-deployment validation
• Support AI/ML platform capabilities involving SageMaker, Bedrock, graph databases, vector databases, and retrieval-based architectures
• Ensure operational controls and best practices for production AI/ML, GenAI, and classical ML services
• Take ownership of technical requirements from implementation through integration, deployment, and ongoing support

Requirements

• 8+ years of overall technical experience, including 3+ years in SRE, DevOps, Cloud Administration, or Cloud Engineering roles within production AWS environments
• Deep hands-on AWS experience with services such as EC2, VPC, IAM, S3, RDS, EKS/ECS, Lambda, CloudWatch, and CloudTrail
• Strong Infrastructure-as-Code and automation skills using Terraform and scripting (Python, Bash, or similar)
• Hands-on experience operating Kubernetes/EKS workloads, including scaling, networking, deployment, and secrets management
• Working knowledge of the machine-learning lifecycle and production experience with SageMaker, Bedrock, or comparable AI/ML platforms
• Experience supporting production AI/ML, GenAI, LLM/RAG, or classical ML services with observability, reliability, and operational controls
• Demonstrated ownership mindset, taking technical requirements through implementation, integration, deployment, and ongoing support

Qualifications

Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other characteristic protected by applicable federal, state, or local laws and ordinances.