Senior AWS Cloud SRE – AI/ML Platform

Eightelevengroup; Maryland Heights, Northern (MO, KY); Hybrid; USD 96,000 - 110,000; Full time

Benefits offered by this job

401(k) Matching Plan

Medical, Dental, & Vision Plans

6 Paid Holidays

EAP

Job summary

Brooksource is seeking a Senior AWS Cloud Site Reliability Engineer (SRE) – AI/ML Platform to join a Fortune 500 telecommunications client. In this contract role, you will own and enhance AWS infrastructure, automation, reliability, and production environments supporting modern AI/ML workloads in a hybrid setting (4 days onsite, 1 day remote).

You will collaborate with AI/ML engineers to productionize models and pipelines, build infrastructure automation with Terraform, manage Kubernetes/EKS

Qualifications

• 8+ years of technical experience, including 3+ years in SRE/DevOps in production AWS environments
• Hands-on AWS experience with EC2, VPC, IAM, S3, RDS, EKS/ECS, Lambda, CloudWatch, CloudTrail
• IaC/automation using Terraform; scripting in Python or Bash
• Kubernetes/EKS operations: scaling, networking, secrets management

Responsibilities

• Design, operate, and support scalable AWS infrastructure powering production AI/ML 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

Skills

SRE mindset

Cloud engineering

Ownership mindset

Automation

GenAI/LLMOps familiarity

Tools

Terraform

Python

Bash

Kubernetes

EKS

CloudWatch

Job description

Senior AWS Cloud SRE – AI/ML Platform

13736 Riverport Drive, Maryland Heights, MO 63043 (Hybrid: 4 days onsite, 1 day remote)

Contract

Compensation: $70 - $80 per hour, DOE

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. In this contract role, you will own and enhance AWS infrastructure, automation, reliability, and production environments supporting modern AI/ML and GenAI workloads. You will operate at the intersection of traditional SRE/cloud engineering and modern MLOps/LLMOps, enabling teams to move AI applications and models into reliable, scalable production environments. The broader program includes agentic AI and anomaly-detection capabilities, leveraging technologies such as SageMaker, Bedrock, graph-based solutions, RAG, and other machine-learning services. This engagement is expected through the end of 2026, with potential for extension based on performance and business needs. You will have the opportunity to contribute to a high-visibility, new-build AI/ML initiative and work alongside talented engineers in a dynamic, relationship-driven environment.

WHAT YOU'LL DO

• 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

WHAT YOU BRING

• 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

WHAT'S IN IT FOR YOU

• 401(k) Matching Plan
• Medical, Dental, & Vision Plans
• Relationship-driven process to find your best fit
• 6 Paid Holidays
• Regular meetings to ensure quality in your engagement
• Employee Assistance Program (EAP) with virtual counseling, financial and legal services, life coaching, and more
• Flexible, supportive work environment within a nationally recognized IT and Engineering services provider

ABOUT US

At Brooksource, relationships are the foundation of everything we do. Since 2000, we’ve built lasting partnerships with clients, consultants, and internal teams to deliver an exceptional experience across every engagement. As a trusted IT and Engineering services provider, Brooksource supports Fortune 500 organizations through Experience-Driven Staffing, Professional Services, and Elevate, our proprietary Workforce Transformation program. We offer flexible hiring models, including contract, contract-to-hire, and direct placement to meet your evolving business needs. Brooksource is a certified partner of leading platforms, including Salesforce, AWS, Microsoft, and Google Cloud, enabling us to deliver scalable, end-to-end technology solutions. With a growing national footprint, Brooksource is redefining expectations in IT consulting, engineering services, and technology workforce solutions.

EEO STATEMENT

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, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

PAY DISCLAIMER

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.