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Job Details

Skills

Innovation
Docker
Orchestration
Jenkins
Large Language Models (LLMs)
Management
Reliability Engineering
Communication
Machine Learning Operations (ML Ops)
Regulatory Compliance
Python
Scripting
Startups
DevOps
IaaS
Amazon Web Services
Terraform
Kubernetes
Machine Learning (ML)
Continuous Integration
Continuous Delivery
Generative Artificial Intelligence (AI)
Artificial Intelligence
Cloud Computing

Summary

This Raleigh-based organization is seeking a Hybrid AI Cloud Engineer (DevOps-focused) to join a small but rapidly growing team, working onsite 3 days per week. This role blends modern DevOps practices with cutting-edge Generative AI, leveraging technologies such as AWS, Terraform, Kubernetes (EKS), Jenkins CI/CD, and Amazon Bedrock. The position is ideal for a mid-level engineer who is eager to deepen their experience in AI infrastructure while contributing to a highly impactful platform buildout.

This is a unique opportunity to work directly alongside early AI/ML hires, helping shape the organization's cloud and AI strategy from the ground up. The engineer in this role will drive real innovation-building scalable systems that operationalize AI, integrating LLMs into production environments, and enabling automation across the business. Strong learning agility, curiosity around AI tooling, and a hands-on mindset will set candidates apart. Required Skills & Experience

3-6+ years of experience in DevOps, Cloud Engineering, or similar
Strong experience with AWS cloud services
Infrastructure as Code expertise with Terraform
Experience with containerization (Docker) and orchestration via Kubernetes / EKS
CI/CD pipeline experience, preferably with Jenkins
Hands-on exposure to Generative AI tools (e.g., Amazon Bedrock, OpenAI APIs, or similar)
Experience working with or integrating Large Language Models (LLMs)
Ability to deploy, manage, and scale cloud-native systems
Strong understanding of system reliability, monitoring, and automation
Solid communication skills and ability to work in a collaborative team environment

Desired Skills & Experience

Experience building or contributing to MLOps platforms or AI infrastructure
Exposure to AI governance, compliance, or regulatory frameworks
Familiarity with Python or similar scripting languages for automation
Experience building or deploying AI agents or GenAI-based applications
Knowledge of security best practices in cloud and AI environments
Startup or early-stage team experience (comfort with ambiguity and rapid change)

What You Will Be Doing
Tech Breakdown

60% DevOps / Cloud Infrastructure (AWS, Terraform, Kubernetes, CI/CD)
40% AI/ML Integration & Platform Development (Bedrock, LLMs, GenAI tools)

Daily Responsibilities

40% Designing and building scalable AI platform infrastructure
30% Implementing and optimizing CI/CD pipelines and cloud environments
20% Integrating and deploying AI/GenAI solutions and LLM-based applications
10% Staying current with AI regulations, governance, and best practices

The Offer

15% annual bonus
Hybrid work model (Raleigh - onsite 3 days/week)
Opportunity to join a growing AI-focused team at an early stage
Work on high-impact, cutting-edge AI and cloud 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: 10105282
Position Id: 879054
Posted 30+ days ago

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DevOps AI Cloud Engineer / Onsite in Raleigh, NC

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DevOps AI Cloud Engineer / Onsite in Raleigh, NC

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