SRE: AI/ML Platforms & GenAI Reliability

Kforce Inc; Maryland Heights (MO); On-site; USD 150,000 - 210,000; Full time

Job summary

Kforce is seeking an SRE (AI/ML) in Maryland Heights, MO to design, operate, and scale reliable cloud platforms for production AI/ML and GenAI workloads. The role focuses on reliability, automation, and cost/performance of AWS infrastructure, collaborating with data science and application teams to productionize models, ML pipelines, and LLM/RAG solutions.

The ideal candidate blends classic SRE with modern MLOps and LLMOps practices, handling incident management and on-call duties while

Qualifications

• 8+ years total experience with at least 3+ years as SRE/DevOps/Cloud Admin on AWS in production.
• Strong hands-on with core AWS services: EC2, VPC, IAM, S3, RDS, EKS/ECS, Lambda, CloudWatch, CloudTrail
• Proficient in Python and one of Bash; comfortable writing reusable modules and operational tooling

Responsibilities

• Design, operate, and scale reliable cloud platforms powering production AI/ML workloads.
• Own reliability, automation, and cost/performance of AWS infrastructure.
• Partner with data science and application teams to productionize models, ML pipelines, and LLM/RAG solutions.
• Blend classical SRE with modern MLOps and LLMOps practices.

Skills

Python

Bash

AWS

Terraform

CloudFormation/CDK

Kubernetes (EKS)

ML platforms

LLM/GenAI deployment

Monitoring/Observability

Incident management

Postmortem culture

Cost optimization

Tools

EC2

VPC

IAM

S3

RDS

EKS/ECS

Lambda

CloudWatch

CloudTrail

Terraform

CloudFormation/CDK

Job description

Kforce is seeking an SRE (AI/ML) in Maryland Heights, MO to design, operate, and scale reliable cloud platforms for production AI/ML and GenAI workloads. The role focuses on reliability, automation, and cost/performance of AWS infrastructure, collaborating with data science and application teams to productionize models, ML pipelines, and LLM/RAG solutions.

The ideal candidate blends classic SRE with modern MLOps and LLMOps practices, handling incident management and on-call duties while