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Remote Data Center Jobs in Tennessee (NOW HIRING)

Aggreko

Senior Application Engineer

Nashville, TN · On-site +1

... large scale data center developers at rapid pace, near perfect reliability and power quality ... From world-class events that last a few weeks to mining operations and remote communities who rely ...

NetApp

Senior Solutions Engineer - Tennessee

Nashville, TN · Remote

$53.25 - $68.75/hr

LOCATION This is a remote position; however, candidates must be based in Tennessee to effectively ... data center architectures. * Experience designing and positioning technical solutions that align ...

kgs

ServiceNow Administrator

Nashville, TN · Remote

... center, service desk, or IT managed services program. * Experience working in a fully remote IT ... Experience managing ServiceNow update sets, data imports, and configuration migrations between ...

kgs

ServiceNow Administrator

Nashville, TN · Remote

... center, service desk, or IT managed services program. * Experience working in a fully remote IT ... Experience managing ServiceNow update sets, data imports, and configuration migrations between ...

TEKsystems

Supply Chain Analyst

Memphis, TN · Remote

$60 - $75/hr

Data Center and Automotive Manufacturing vertical experience will be considered (Google, Equinix ... remote position. Application Deadline This position is anticipated to close on Sep 2, 2026. About ...

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All JobsData Center JobsRemote Data Center JobsRemote Data Center Jobs in Tennessee

Remote Data Center information

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$11

$49

$99

How much do remote data center jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote data center in Tennessee is $49.59, according to ZipRecruiter salary data. Most workers in this role earn between $24.75 and $77.89 per hour, depending on experience, location, and employer.

What is a remote data center?

A remote data center is a facility that houses computer systems, servers, and related components, located offsite and managed remotely rather than on the primary business premises. These data centers are accessed and operated through network connections, enabling businesses to store, process, and manage data without maintaining physical infrastructure onsite. Remote data centers provide benefits such as increased security, scalability, disaster recovery, and cost savings for organizations that need reliable IT resources but want to minimize direct management. They are commonly used for cloud computing, backup, and hosting large-scale applications.

What are the key skills and qualifications needed to thrive as a remote data center technician?

To thrive as a Remote Data Center Technician, you need strong knowledge of server hardware, networking, and data center operations, often supported by certifications like CompTIA Server+ or Cisco CCNA. Familiarity with remote monitoring tools, ticketing systems, and infrastructure management platforms is typically required. Excellent problem-solving, time management, and communication skills help technicians address issues efficiently and coordinate with on-site teams. These skills ensure smooth data center operations, minimize downtime, and support critical business functions from a remote environment.

How does working in a remote data center role typically differ from on-site data center positions in terms of daily collaboration and communication?

In a remote data center role, much of the collaboration with on-site technicians, network engineers, and IT support teams is conducted through digital platforms such as video conferences, ticketing systems, and chat applications. While you may not physically interact with hardware, you'll often coordinate troubleshooting, manage configurations, and monitor systems remotely. Effective communication and clear documentation are especially critical, as you rely on local staff for hands-on tasks and need to ensure instructions are precise. This setup offers flexibility but also demands strong self-discipline and proactive engagement to stay aligned with the team.

What is the difference between Remote Data Center vs Data Center Technician?

AspectRemote Data CenterData Center Technician
CredentialsIT certifications, network, and server management skillsIT certifications, hardware, and network skills
Work EnvironmentRemote, often from home or remote officeOn-site at data center facilities
Industry UsageIT, cloud services, remote managementData center operations, hardware maintenance
Search & Comparison IntentUnderstanding remote data center roles and responsibilitiesTechnical hardware troubleshooting and maintenance

Remote Data Center roles focus on managing data center operations remotely, often involving cloud and network management from a distance. Data Center Technicians work on-site, handling hardware installation, troubleshooting, and maintenance within physical data centers. While both roles require similar technical certifications, their work environments and daily tasks differ significantly, catering to different industry needs.

Can remote data center jobs be remote?

Remote data center jobs typically involve managing and maintaining data center infrastructure from a remote location, which is increasingly common with the use of remote monitoring tools and cloud management platforms. However, some roles may require on-site presence for hardware installation, troubleshooting, or physical access to equipment. Job requirements vary by employer and specific position.

What are the most commonly searched types of Data Center jobs in Tennessee?

The most popular types of Data Center jobs in Tennessee are:

What are popular job titles related to Remote Data Center jobs in Tennessee?

For Remote Data Center jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Remote Data Center jobs in Tennessee look for?

The top searched job categories for Remote Data Center jobs in Tennessee are:

What cities in Tennessee are hiring for Remote Data Center jobs?

Cities in Tennessee with the most Remote Data Center job openings:

Remote Data Center jobs near you
Infographic showing various Remote Data Center job openings in Tennessee as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution, with an average salary of $103,157 per year, or $49.6 per hour.

AWS Certified AI Practitioner (Remote)

Koniag, Inc.

Nashville, TN • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

Koniag Services Inc., a Koniag Government Services company, is seeking an innovative and technically skilled AWS Certified AI Practitioner to support the design, implementation, and optimization of artificial intelligence (AI) and machine learning (ML) solutions built on the Amazon Web Services (AWS) platform for our IT Call Center serving government clients. The ideal candidate is a forward-thinking and analytically minded professional with demonstrated experience leveraging AWS AI and ML services to develop intelligent automation, predictive analytics, and natural language processing solutions that enhance the efficiency, performance, and customer experience of IT Call Center operations. They bring strong technical acumen, a passion for emerging AI technologies, and the ability to work independently and collaboratively in a fully remote environment to deliver AI-powered solutions that drive measurable operational improvements. Ability to obtain a government security clearance may be required to support Koniag Services Inc. and our government customers. This position is Remote.
We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.
Position Description:
The AWS Certified AI Practitioner will be responsible for the design, implementation, optimization, and ongoing support of AWS AI and ML solutions supporting IT Call Center operations. This individual will work closely with program leadership, the AWS Solutions Architect, the AWS Connect Administrator, data analysts, and government stakeholders to identify opportunities to leverage AI and ML capabilities to enhance call center automation, operational intelligence, and service delivery outcomes. Principal responsibilities will include but are not limited to:
  • Identify, evaluate, and implement AWS AI and ML service solutions that enhance IT Call Center operations, including intelligent automation, natural language processing, predictive analytics, sentiment analysis, and conversational AI capabilities.
  • Design, develop, and maintain AWS AI and ML solutions leveraging core AWS AI services including Amazon Lex, Amazon Polly, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon SageMaker, Amazon Bedrock, and related AWS AI and ML platform services.
  • Collaborate with the AWS Connect Administrator to design, implement, and optimize AI-powered contact center capabilities within the AWS Connect platform, including Amazon Lex-powered IVR and chatbot solutions, Amazon Transcribe Call Analytics for real-time and post-call analysis, and Amazon Connect Wisdom for AI-driven agent assistance.
  • Partner with data analysts and program leadership to develop and implement predictive analytics and machine learning models that leverage call center operational data to forecast call volumes, predict SLA risks, identify performance trends, and support data-driven operational decision making.
  • Design and implement natural language processing (NLP) and sentiment analysis solutions using Amazon Comprehend and related AWS AI services to analyze customer interactions, identify satisfaction trends, and surface actionable insights for call center quality assurance and continuous improvement programs.
  • Develop and maintain AI-powered automation solutions that streamline call center workflows, reduce manual processing requirements, and enhance agent productivity, leveraging AWS Lambda, Amazon EventBridge, AWS Step Functions, and related AWS serverless and automation services.
  • Support the development and implementation of Amazon SageMaker-based machine learning pipelines for training, testing, deploying, and monitoring custom ML models that address specific IT Call Center operational challenges and performance improvement opportunities.
  • Collaborate with the AWS Solutions Architect to ensure all AI and ML solution designs are architected in alignment with program-wide AWS cloud architecture standards, security requirements, and FedRAMP compliance obligations.
  • Conduct regular assessments of deployed AI and ML solutions, monitoring model performance, accuracy, and operational impact, and implementing updates, retraining, and optimization activities to maintain solution effectiveness over time.
  • Develop and maintain comprehensive technical documentation for all AI and ML solutions including solution design documents, architecture diagrams, model documentation, data flow diagrams, and operational runbooks.
  • Stay current on AWS AI and ML platform updates, new service releases, emerging AI technologies, and industry best practices, proactively identifying opportunities to leverage new AWS AI capabilities to enhance IT Call Center performance and customer experience.
  • Provide technical guidance and subject matter expertise to program leadership, operations staff, and data analysts on AWS AI and ML service capabilities, solution design approaches, and responsible AI principles and practices.
  • Ensure all AWS AI and ML solution design and implementation activities comply with applicable federal security requirements, AWS GovCloud policies, FedRAMP authorization requirements, data privacy regulations, and responsible AI governance standards.
  • Support the development and delivery of training materials and knowledge sharing sessions for program staff on deployed AI and ML solutions, ensuring all relevant team members understand solution capabilities, limitations, and appropriate use cases.
  • Contribute to business development activities as needed, including supporting proposal efforts with AI and ML capability narratives, technical solution concepts, and relevant past performance documentation.

Education and Experience:
Required:
  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, Mathematics, or a related field from an accredited college or university. Relevant experience may be considered in lieu of a degree.
  • 3+ years of hands-on experience designing, implementing, and managing AWS AI and ML solutions in a structured IT service delivery or data-driven operational environment.
  • Demonstrated experience developing and deploying solutions leveraging AWS AI services including Amazon Lex, Amazon Comprehend, Amazon Transcribe, Amazon Polly, and/or Amazon SageMaker.
  • Experience integrating AWS AI and ML services with cloud-based operational platforms and enterprise systems.
  • AWS Certified AI Practitioner certification (required at time of hire).

Preferred:
  • Prior experience designing and implementing AWS AI and ML solutions within a federal government contracting or AWS GovCloud environment.
  • Experience supporting AI and ML solution development for an IT call center, service desk, or IT managed services program, including experience with AWS Connect AI-powered contact center capabilities.
  • AWS Certified Machine Learning - Specialty certification or demonstrated progress toward obtaining the certification.
  • Experience working in a fully remote AI and ML development role within a government contracting environment.

Required Skills and Competencies:
  • Strong communication skills in English - both written and oral - with the ability to present complex AI and ML solution designs, technical findings, and strategic recommendations clearly and effectively to both technical and non-technical audiences including program leadership and government stakeholders in a remote work environment.
  • Demonstrated hands-on proficiency in designing and implementing AWS AI and ML solutions leveraging a broad portfolio of AWS AI services including Amazon Lex, Amazon Polly, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition, Amazon SageMaker, and Amazon Bedrock.
  • Strong working knowledge of natural language processing (NLP), conversational AI, sentiment analysis, speech-to-text, and text-to-speech concepts and their practical application within AWS AI service implementations.
  • Proficiency in Amazon SageMaker for the development, training, deployment, and monitoring of custom machine learning models, including experience with SageMaker Studio, SageMaker Pipelines, and SageMaker Model Monitor.
  • Working knowledge of AWS Connect AI-powered contact center capabilities including Amazon Lex IVR and chatbot integration, Amazon Transcribe Call Analytics, Amazon Connect Wisdom, and Amazon Connect Customer Profiles.
  • Proficiency in serverless and automation services such as AWS Lambda, Amazon EventBridge, and AWS Step Functions for the development of AI-powered workflow automation solutions.
  • Strong understanding of machine learning concepts including supervised and unsupervised learning, model training and evaluation, feature engineering, and model deployment and monitoring best practices.
  • Proficiency in scripting or programming languages such as Python for ML model development, AWS Lambda function development, data processing, and AI solution automation.
  • Working knowledge of AWS security and compliance principles as they apply to AI and ML solution design, including data privacy, IAM policy configuration, and FedRAMP compliance considerations.
  • Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) and remote collaboration tools such as Microsoft Teams and SharePoint for documentation, communication, and coordination purposes.
  • Ability to obtain and maintain a government security clearance as required.

Desired Skills and Competencies:
  • Active government security clearance (Secret or higher).
  • AWS Certified Machine Learning - Specialty certification.
  • AWS Certified Solutions Architect - Associate or Professional certification.
  • AWS Certified AI Practitioner certification.
  • Experience designing and implementing AWS AI and ML solutions within an AWS GovCloud environment in support of federal government FedRAMP authorization and data privacy requirements.
  • Familiarity with federal IT security frameworks and compliance requirements such as NIST SP 800-53, FedRAMP, FISMA, and emerging federal AI governance frameworks as they relate to AI and ML solution design and deployment.
  • Experience with Amazon Bedrock and large language model (LLM) integration for generative AI application development within a government IT service delivery context.
  • Familiarity with responsible AI principles, AI ethics frameworks, and bias detection and mitigation strategies as they apply to AI and ML solution development and deployment in a federal government environment.
  • Experience with data engineering and ML pipeline development tools including AWS Glue, Amazon Kinesis, Amazon Redshift, and related AWS data processing and storage services.
  • Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn for custom model development and integration with AWS SageMaker.
  • Experience with MLOps principles and practices including model versioning, continuous integration and delivery for ML pipelines, and automated model retraining and monitoring.
  • Familiarity with Amazon QuickSight or equivalent cloud-based business intelligence platforms for AI and ML solution performance reporting and operational analytics.
  • ITIL Foundation certification or higher demonstrating knowledge of IT service management principles relevant to AI-powered IT call center operations.
  • Experience contributing to business development efforts including proposal writing, AI and ML capability development narratives, and past performance documentation.
  • Knowledge of conversational AI design principles and best practices for developing effective and accessible IVR and chatbot experiences within a government IT call center context.

Our Equal Employment Opportunity Policy:
The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.
The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or to apply to a position on our website, please contact Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.
Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.
Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352
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About Koniag

Sourced by ZipRecruiter

Industry

Investment management and consulting services

Company size

501 - 1,000 Employees

Headquarters location

Kodiak, AK, US

Year founded

1972

Social media

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