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ML-Ops / Platform Engineer

Charlotte, NC, US • Posted 12 hours ago • Updated 12 hours ago

Contract Independent

Contract W2

12 Months

Travel Required

On-site

$57/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

API
Generative Artificial Intelligence (AI)
High Availability
Jenkins
Kubernetes
Computer Networking
Disaster Recovery
GitHub
Java
Machine Learning Operations (ML Ops)
Automated Testing
Cloud Computing
Cloud Security
Amazon SageMaker
Amazon Web Services
Microservices
Microsoft Azure
Ansible
MongoDB
Onboarding
Optimization
PostgreSQL
Artificial Intelligence
Caching
DevOps
Docker
Management
Production Support
Prompt Engineering
Python
Redis
Release Management
Scalability
Storage
Systems Engineering
Terraform
Vector Databases
Virtual Private Cloud

API
Generative Artificial Intelligence (AI)
High Availability
Jenkins
Kubernetes
Computer Networking
Disaster Recovery
GitHub
Java
Machine Learning Operations (ML Ops)
Automated Testing
Cloud Computing
Cloud Security
Amazon SageMaker
Amazon Web Services
Microservices
Microsoft Azure
Ansible
MongoDB
Onboarding
Optimization
PostgreSQL
Artificial Intelligence
Caching
DevOps
Docker
Management
Production Support
Prompt Engineering
Python
Redis
Release Management
Scalability
Storage
Systems Engineering
Terraform
Vector Databases
Virtual Private Cloud

Summary

Job Title: ML-Ops / Platform Engineer

Location: Charlote, NC
W2 Contract (Candidate Must work on Our W2)

Job Description:

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: 91173422
Position Id: 9074002
Posted 12 hours ago

Contact the job poster

Krishna Sai

Recruiter @ 3AMIGOSIT LLC

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