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Platform Engineer Jobs in Raleigh, NC (NOW HIRING)

First Horizon Bank

DevOps Engineer

Raleigh, NC

$51.25 - $70.25/hr

As a DevOps Software Platform Engineer focusing on the DevOps platform tools, you will be a crucial part of First Horizon's DevOps engineering team, building a world class developer experience. Your ...

Epic Games

Senior Platform Programmer

Cary, NC · On-site

What You'll Do We're looking for an experienced Senior Platform Engineer to own the stability of multiple games across Epic. You will play a critical role in identifying and preventing live issues ...

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Hansen Talent Group

DevOps Engineer

Raleigh, NC

$51.25 - $70.25/hr

Hansen Talent Group is seeking a DevOps/Platform Engineer to support a VMWare re-platforming project, focusing on container management. The ideal candidate will have in-depth experience supporting ...

Hansen Talent Group (HTG)

DevOps Engineer

Raleigh, NC · On-site

$51.25 - $70.25/hr

Hansen Talent Group is seeking a DevOps/Platform Engineer to support a VMWare re-platforming project, focusing on container management. The ideal candidate will have in-depth experience supporting ...

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How much do platform engineer jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for platform engineer in Raleigh, NC is $62.17, according to ZipRecruiter salary data. Most workers in this role earn between $49.09 and $71.73 per hour, depending on experience, location, and employer.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain technology roles like senior software engineers, cloud architects, and platform engineers with extensive experience and advanced skills may also reach or exceed this level, especially in leadership or highly specialized positions. Achieving this income often requires advanced certifications, significant experience, and working in competitive or high-demand industries.

What Is a Platform Engineer?

A platform engineer writes code that bridges the gap between software and hardware and tests the system so that it runs effectively and smoothly. In this career, you are a vital part of the software and hardware industries. You run diagnostics tests to verify the correct design of hardware, which usually means writing code for manufacturing diagnostics so that the testing of the hardware takes place automatically. The qualifications needed for a career as a platform engineer include a bachelor’s degree in computer science or an associate’s degree and relevant work experience.

What engineers make $300,000 a year?

Senior platform engineers, cloud engineers, and software engineers with extensive experience, specialized skills, and certifications such as AWS or Google Cloud can earn $300,000 or more annually. High compensation often reflects expertise in scalable systems, DevOps, and leadership roles within technology companies or large organizations.

What does a platform engineer do?

A platform engineer designs, builds, and maintains the underlying infrastructure and tools that support software development and deployment. They work with cloud services, automation, and scripting to ensure scalable, reliable, and efficient platforms for applications. Proficiency in programming, cloud platforms, and system architecture is essential for this role.

What are Platform Engineers?

Platform Engineers are IT professionals who design, build, and maintain the foundational technology systems (or platforms) that enable software development and operations teams to deploy and manage applications efficiently. Their work involves creating scalable, reliable, and automated infrastructure, often using tools like cloud services, container orchestration, and CI/CD pipelines. Platform Engineers collaborate closely with developers, DevOps, and IT teams to ensure that the technology stack supports business needs and software delivery. They help streamline workflows, improve system reliability, and enable faster release cycles.

What are the key skills and qualifications needed to thrive as a Platform Engineer, and why are they important?

To thrive as a Platform Engineer, you need a solid background in computer science, systems architecture, and cloud infrastructure, often supported by a relevant degree or equivalent experience. Familiarity with containerization tools (like Docker and Kubernetes), infrastructure-as-code platforms (such as Terraform), and cloud services (AWS, Azure, or GCP) is typically required, along with relevant certifications. Strong problem-solving skills, collaboration, and effective communication help Platform Engineers drive reliability and innovation within technical teams. These competencies are crucial for building scalable, secure, and efficient platforms that support an organization's technology needs.

How does a Platform Engineer typically collaborate with development and operations teams?

Platform Engineers work closely with both development and operations teams to design, build, and maintain scalable infrastructure and deployment pipelines. They often serve as a bridge, ensuring that applications can be deployed reliably and efficiently while meeting the requirements of both teams. Regular communication is key, as Platform Engineers gather feedback from developers about tooling needs and coordinate with operations to uphold system stability and security. This collaborative environment fosters automation, streamlines workflows, and supports continuous delivery practices.

What engineer makes $500,000 a year?

Senior platform engineers or software engineers with extensive experience, specialized skills, and working at large tech companies or in high-cost-of-living areas can earn $500,000 or more annually. Achieving this level often requires advanced expertise in cloud infrastructure, distributed systems, and leadership roles, along with stock options or bonuses.

What is the difference between Platform Engineer vs DevOps Engineer?

AspectPlatform EngineerDevOps Engineer
CredentialsBachelor's in CS or related field, often cloud certificationsBachelor's in CS, DevOps certifications (e.g., Docker, Kubernetes)
Work EnvironmentDesigning and building platform infrastructure, working with cloud servicesAutomating deployment, CI/CD pipelines, and system operations
Industry UsageTech companies, cloud providers, SaaS firmsSoftware development, IT operations, cloud services

Platform Engineers focus on creating and maintaining the underlying infrastructure and platforms, while DevOps Engineers streamline development and deployment processes through automation. Both roles collaborate closely but have distinct focuses within the software development lifecycle.

More about Platform Engineer jobs
What are the most commonly searched types of Platform Engineer jobs in Raleigh, NC? The most popular types of Platform Engineer jobs in Raleigh, NC are:
What are popular job titles related to Platform Engineer jobs in Raleigh, NC? For Platform Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Platform Engineer jobs in Raleigh, NC look for? The top searched job categories for Platform Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Platform Engineer jobs? Cities near Raleigh, NC with the most Platform Engineer job openings:
Platform Engineer jobs near you
AI Development Lead / AI Platform Engineer

AI Development Lead / AI Platform Engineer

Lenovo

Morrisville, NC

Other

Posted 18 days ago

Lenovo rating

7.3

Company rating: 7.3 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

88th of 139 rated electronics manufacturers

Job description


General Information
Req #
WD00099307
Career area:
Artificial Intelligence
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Friday, May 22, 2026
Working time:
Full-time
Additional Locations:
* United States of America - North Carolina - Morrisville
Why Work at Lenovo
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Description and Requirements

We are seeking a talented and experienced Senior AI Developer Lead to design, implement, and scale out an Agentic AI platform that streamlines the creation of AI-powered customer solutions. In this role, you will collaborate with AI engineers to deploy and scale AI services across enterprise infrastructures. The position requires a great understanding of AI technologies, excellent developer skills, and the ability to create repeatable solutions. To succeed in this role, you should apply your deep understanding of AI, be hands-on, and be able to integrate AI tools into a cohesive platform.

This role sits within Lenovo's Solutions & Services Group (SSG), the global organization that brings together our endtoend AI solutions and services to turn customer vision into value. You'll be joining a new, distributed engineering team building the xIQ Agent Platform, an AInative delivery platform that powers Lenovo's Agentic AI strategy across hybrid cloud, onprem, and edge.

Key Responsibilities:

  • Lead and manage a small team of AI developers to build AI platforms, implement agents, and customize standard solutions.
  • Develop Agentic AI platform solutions, ensuring alignment with Lenovo's strategic goals and enterprise technical standards.
  • Build AI architectures, inference engines, guardrails, and user interfaces for enterprise AI roll out.
  • Develop multi-agents/super agents using large language models (LLMs), small language models (SLMs), vision language models (VLMs), leverage agent frameworks and standard protocols such as MCP.
  • Integrate AI agents into existing platforms/systems, including on-premise and on the edge.
  • Identify and implement AI tools, frameworks, and technologies that enhance the effectiveness and efficiency of AI solutions.
  • Incorporate robust security measures into AI solutions, including data encryption, access controls, and vulnerability assessments.
  • Implement best practices for agent evaluation on both experimental and production environments.
  • Adhere to coding guidelines and best practices across projects, ensuring high-quality and maintainable AI software development.
  • Communicate technical concepts and solution approaches clearly to both technical and non-technical stakeholders.
  • Stay current with advancements in AI technologies and propose innovative implementation strategies.

Basic Qualifications:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • Proven track record of managing a small AI team and acting as the technical lead to complete enterprise AI platforms and/or AI solutions in production environments
  • 5+ years in AI development and implementation roles across domains such as data science, machine learning, NLP, computer vision, or Generative AI.
Preferred Qualifications:
  • 2+ years of experience in developing Generative AI end-to-end solutions, including multi-modal solutions utilizing NVIDIA, cloud-based LLMs, or open-source models (e.g., OpenAI, Anthropic, Llama, Hugging Face, Bedrock).
  • Experience with NVIDIA technologies (e.g., GPUs, CUDA, TensorRT) and integrating tools from NVIDIA AI Enterprise in on-premise solutions is a plus.
  • Strong knowledge of on-premise and cloud environments, particularly with containerization and scaling using Kubernetes.
  • Proven experience in implementing MLOps, LLMOps, or AIOps, as part of enterprise platforms and managing CI/CD pipelines for AI deployment using tools such as Jenkins, GitLab, or similar.
  • Strong programming skills in languages such as Python, React, and scripting languages.

If you are passionate about AI development and eager to take on a challenging yet rewarding role that makes a real impact, we invite you to connect with us!

This role offers the flexibility to be home-based anywhere in the U.S. with preference for the Eastern or Central time zones. If you're near our Chicago or Raleigh offices, we follow a friendly hybrid model with three days a week in the office-great for collaboration and connection!
The base salary range budgeted for this position is $230,000 to $250,000 Individuals may also be considered for bonuses and/or commissions. Lenovo's various benefits can be found at [1] www.lenovobenefits.com
In compliance with Colorado's EPEWA, the expected Application Deadline for this position is 7/1/2026 - this applies to both internal and external candidate
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
Additional Locations:
* United States of America - North Carolina - Morrisville
* United States of America
* United States of America - North Carolina
* United States of America - North Carolina - Morrisville

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