Senior Engineers

TalentOla; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

TalentOla is seeking a senior cloud platform engineer to design and operate cloud-native systems on AWS and Azure from Charlotte, NC. You will drive GenAI platform enablement, secure multi-account architectures, and scalable deployments.

The role requires deep cloud experience, strong software skills, and a proven track record in DevOps, SRE practices, and cost optimization. Hybrid collaboration with security and platform teams is expected.

Qualifications

• Experience architecting cloud-native platforms on AWS and Azure at scale.
• Proven ability to design multi-account/subscription landscapes and landing zones.
• Experience enabling GenAI platforms, AI gateways, and vector databases.
• Deep knowledge of open-source tech, container orchestration, and CI/CD.
• Strong programming in Python/Java and building distributed systems.

Responsibilities

• Lead cloud platform engineering and GenAI enablement initiatives.
• Collaborate with security, infrastructure, and application teams.
• Drive cost optimization, reliability, and observability improvements.

Skills

Cloud architecture

GenAI platform enablement

AWS & Azure expertise

DevOps & platform engineering

Python & Java development

REST APIs & microservices

SRE & production support

Observability & monitoring

Cost optimization

Security & IAM

Tools

Docker

Kubernetes

OpenShift

Terraform

Ansible

GitHub Actions

Azure DevOps

Jenkins

ArgoCD

EKS

AKS

Service Mesh

Job description

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.