Actively Hiring

B2B
Growth Stage
Expanding market presence

B2B
Growth Stage
Expanding market presence

ML-Ops / Platform Engineer

Charlotte
|Contract

Posted: 1 week ago• Recruiter recently active

Job Location

Charlotte

Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed

Skills

Python

Java

MongoDB

Distributed Systems

Redis

PostgreSQL

Scalability

High Availability

Cloud Security

Jenkins

Automated Testing

REST APIs

Azure

Storage

Release Management

LAMBDA

Cost Optimization

Monitoring

Docker

Ansible

Disaster Recovery

Cloud Networking

Production support

Microservices

AWS

openshift

Kubernetes

Terraform

IAM

Load Balancers

Performance Troubleshooting

API Gateway

logging

State Management

Scalability Optimization

ECS

EKS

Vpc

Azure DevOps

Observability

Service Mesh

GitOps

GitHub Actions

AKS

ArgoCD

Autoscaling

Secrets Management

VNet

Secrets Manager

Prompt Engineering

SageMaker

Azure OpenAI

Vector Databases

Key Vault

RAG

Landing Zones

APP Services

AWS Bedrock

Embeddings

Functions

Caching Strategies

Azure AI Foundry

AI Evaluations

Agentic Frameworks

Guardrails

SRE Practices

Model Serving

Ingress Controllers

Inference Platforms

AI Gateways

Model Onboarding

Cost Efficiency Optimization

Resiliency Optimization

Multi-Account/subscription Design

AI Application Enablement

Multi-Cluster Platform Operations

High-Throughput Data Platforms

About the job

ML-Ops / Platform Engineer

Charlotte, NC

12 months Contract

Required Skills

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.