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MLOps Platform Engineer

Charlotte, NC, US • Posted 14 hours ago • Updated 14 hours ago

Contract Independent

Contract W2

12 Months

On-site

$60 - $65/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

MLOps
RAG
OpenAI
GenAI
AWS
Azure
AI gateways
Azure AI Foundry
MongoDB
Redis
PostgreSQL
Vector Databases
caching strategies
state management
Docker
Kubernetes
OpenShift
AKS
EKS
service mesh
ingress controllers
autoscaling

Summary

There is a job opening for ML-Ops / Platform Engineer - Charlotte, NC-Onsite role

Contract role

Strong hands-on experience building and operating cloud-native applications and platforms on AWS and Azure, including VPC/VNet, IAM, Load Balancers, API Gateway, Lambda/Functions, EKS/AKS, ECS, App Services, Storage, Key Vault/Secrets Manager, and cloud networking.
Deep expertise in AWS and Azure architecture, including multi-account/subscription design, landing zones, cloud security, high availability, disaster recovery, scalability, and cost optimization.
Experience enabling and operationalizing Enterprise GenAI platforms, including model onboarding, AI gateways, inference platforms, vector databases, RAG, guardrails, and AI application enablement.
Strong knowledge of Azure AI Foundry, Azure OpenAI, AWS Bedrock, SageMaker, model serving, embeddings, prompt engineering, AI evaluations, and agentic frameworks.
Expert-level experience with Docker, Kubernetes/OpenShift, AKS, EKS, service mesh, ingress controllers, autoscaling, and multi-cluster platform operations.
Strong DevOps and Platform Engineering experience, including GitHub Actions, Azure DevOps, Jenkins, GitOps, ArgoCD, Terraform, Ansible, automated testing, and release management.
Proficiency in Python, Java, REST APIs, microservices, and distributed systems development.
Experience with MongoDB, Redis, PostgreSQL, Vector Databases, caching strategies, state management, and high-throughput data platforms.
Strong understanding of cloud security, IAM, secrets management, observability, monitoring, logging, SRE practices, and production support.
Experience troubleshooting and optimizing cloud-hosted, containerized workloads for performance, resiliency, scalability, and cost efficiency.
Ability to partner with application, platform, infrastructure, and security teams to accelerate GenAI and cloud modernization initiatives.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10114281
Position Id: 9058729
Posted 14 hours ago

Contact the job poster

Jatin Kumar

Recruiter @ Alltech Consulting Services, Inc.

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