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Remote Platform Engineer Jobs in Tennessee (NOW HIRING)

Nextech

Job 5144: AI Platform Engineer II

Memphis, TN · On-site +1

Memphis, TN (Remote candidates may be considered if a qualified local candidate is not available) Overview We are seeking an experienced AI Platform Engineer II to help design, develop, and deliver ...

New

Lineage Logistics Holding, LLC

The AI Platform Engineer is accountable for designing, building, and operating the core AI platform ... Mentor and provide guidance, especially to other technical resources. #LI-Remote Why Lineage? This ...

ITR

Kubernetes Platform Systems Engineer

Oak Ridge, TN · On-site +1

Kubernetes Platform Systems Engineer The Department of Energy facility delivers scientific ... This position can be remote, but it'd require you to come on-site twice a year. * Must be eligible ...

Revecore

Senior Cloud DevOps Engineer

Franklin, TN · Remote

$125K - $161K/yr

Remote Position Summary We areseekinga motivated and technically strong DevOps Engineer to ... AWS Platform Engineering: Architect and manage networking (VPC, Transit Gateway, Direct Connect ...

Quora

$166K - $191K/yr

Poe : a platform providing millions of global users with one place to chat, explore and build with ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

New

Surgery Partners

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding ... Core Responsibilities Platform & Architecture * Architect and implement scalable data processing ...

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Remote Platform Engineer information

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

To thrive as a Remote Platform Engineer, you need strong expertise in software development, cloud infrastructure, automation, and a relevant degree or equivalent experience. Familiarity with tools such as AWS, Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code platforms like Terraform is typically required. Excellent problem-solving, self-motivation, and collaboration skills set standout candidates apart, especially in distributed teams. These skills ensure the reliability, scalability, and efficiency of platforms while enabling smooth teamwork in a remote work environment.

What is a Remote Platform Engineer?

A Remote Platform Engineer is a technology professional who designs, builds, and maintains the foundational systems (platforms) that support software applications, all while working from a remote location. Their responsibilities often include developing cloud infrastructure, automating deployment processes, and ensuring system reliability and scalability. They collaborate with other engineers and teams via digital tools, leveraging their expertise in areas like DevOps, cloud computing, and system architecture. This role requires strong technical skills, problem-solving abilities, and effective communication for remote teamwork.

How does a Remote Platform Engineer typically collaborate with cross-functional teams?

As a Remote Platform Engineer, you’ll frequently work with developers, DevOps, security, and product teams to ensure the platform’s stability, scalability, and security. Collaboration is often managed through daily stand-ups, code reviews, and project management tools like Jira or Trello. Clear communication and documentation are crucial, as most interactions happen via video calls, chat, and version control platforms. Successful remote platform engineers proactively seek feedback, clarify requirements, and keep stakeholders updated on progress.

What is the difference between Remote Platform Engineer vs Remote DevOps Engineer?

AspectRemote Platform EngineerRemote DevOps Engineer
CredentialsBachelor's in CS or related, certifications like AWS, AzureBachelor's in CS or related, certifications like AWS, Azure, Docker
Work EnvironmentDeveloping and maintaining platform infrastructure, cloud servicesAutomating deployment, CI/CD pipelines, infrastructure management
Industry UsageTech, SaaS, cloud providersTech, software development, cloud services

Both roles often require similar technical skills and certifications, focusing on cloud and infrastructure. The Remote Platform Engineer primarily builds and maintains platform infrastructure, while the Remote DevOps Engineer emphasizes automation, deployment pipelines, and continuous integration. They often collaborate but serve distinct functions within tech organizations.

What are the most commonly searched types of Platform Engineer jobs in Tennessee? The most popular types of Platform Engineer jobs in Tennessee are:
What are popular job titles related to Remote Platform Engineer jobs in Tennessee? For Remote Platform Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Platform Engineer jobs in Tennessee look for? The top searched job categories for Remote Platform Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Platform Engineer jobs? Cities in Tennessee with the most Remote Platform Engineer job openings:
Remote Platform Engineer jobs near you
Infographic showing various Remote Platform Engineer job openings in Tennessee as of July 2026, with employment types broken down into 93% Full Time, 2% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Job 5144: AI Platform Engineer II

Job 5144: AI Platform Engineer II

Nextech

Memphis, TN • On-site, Remote

Contractor

Posted yesterday

New

Job description

Job Title: AI Platform Engineer II

Location: Memphis, TN (Remote candidates may be considered if a qualified local candidate is not available)

Overview

We are seeking an experienced AI Platform Engineer II to help design, develop, and deliver enterprise AI solutions. This position offers the opportunity to work on modern AI platforms, large language model (LLM) technologies, cloud infrastructure, and AI-powered applications that support business innovation.

The ideal candidate has a strong foundation in either AI platform engineering or AI application development, enjoys solving complex technical challenges, and is passionate about building secure, scalable, and production-ready AI solutions. This role includes ownership of technical deliverables, collaboration across engineering and business teams, and mentoring junior engineers.

Key Responsibilities

  • Design, develop, and maintain AI platforms, backend services, and AI-powered applications
  • Build and enhance LLM gateways, retrieval-augmented generation (RAG) solutions, or other AI-driven systems
  • Develop APIs, automation, and data integration services to support scalable AI platforms
  • Integrate AI solutions with enterprise applications and data sources
  • Implement secure, reliable, and observable AI systems through logging, monitoring, and governance practices
  • Build and deploy applications using modern DevOps practices, CI/CD pipelines, Docker, and Kubernetes
  • Collaborate with product owners, business stakeholders, and engineering teams to translate requirements into technical solutions
  • Participate in Agile/Scrum development processes
  • Mentor junior engineers through technical guidance, code reviews, and knowledge sharing
  • Continuously evaluate new technologies and contribute to the evolution of AI engineering best practices

Required Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Cloud Engineering, Infrastructure Engineering, or a related field, or equivalent professional experience
  • 5+ years of experience in software engineering, cloud engineering, infrastructure engineering, or a related technical discipline
  • Strong experience in either AI infrastructure engineering or AI application development
  • Experience developing backend applications, APIs, or AI-powered applications
  • Hands-on experience with one or more modern programming languages such as Python, Java, or TypeScript
  • Experience working with cloud platforms or modern AI development frameworks
  • Strong understanding of API development, system integration, and scalable application design
  • Experience working within Agile development environments
  • Excellent analytical, communication, and collaboration skills
  • Ability to independently own features from design through deployment

Preferred Qualifications

  • Experience with retrieval-augmented generation (RAG), vector databases, embedding models, or LLM-based applications
  • Familiarity with AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar technologies
  • Experience with Docker, Kubernetes, and CI/CD pipelines
  • Knowledge of enterprise security, governance, and compliance practices
  • Experience with monitoring and observability platforms
  • Experience building production AI assistants, chatbots, or intelligent automation solutions
  • Previous experience mentoring junior engineers or reviewing technical work

How to Apply

If you're interested in building scalable, enterprise-grade AI solutions and working with modern AI technologies, we'd love to hear from you. Please submit your resume for confidential consideration. Qualified candidates will be contacted to discuss the opportunity in greater detail.