1

Aiops Jobs in Tennessee (NOW HIRING)

Experience with AIOps and MLOps tooling - e.g. KServe, Kubeflow, vLLM, NVidia Enterprise AI, AMD Silo AI, ClearML, MLFlow * Experience using HPC hardware for Kubernetes - e.g. RDMA, DPUs, Infiniband ...

Senior Platform Engineer

Knoxville, TN · On-site

$93K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with AIOps and MLOps tooling - e.g. KServe, Kubeflow, vLLM, NVidia Enterprise AI, AMD Silo AI, ClearML, MLFlow * Experience using HPC hardware for Kubernetes - e.g. RDMA, DPUs, Infiniband ...

Manager, IT Services

Nashville, TN · Hybrid

$100K - $134K/yr

Hands-on experience with AIOps platforms or autonomous agent tooling applied to IT operations, including self-healing endpoint frameworks. * Familiarity with HR system integrations for automated ...

ServiceNow Deployment- Senior Associate

Nashville, TN · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Observability, AIOps, APM; Industry leading discovery technologies (SCCM, Tanium, Armis, Intune) and how they integrate with ServiceNow; Developing and re-engineering IT processes, capabilities, and ...

Manager, IT Services

Nashville, TN · On-site

$91K - $112K/yr

MD-102 (Endpoint Administrator), MS-102 (Microsoft 365 Administrator), or equivalent. • Hands-on experience with AIOps platforms or autonomous agent tooling applied to IT operations, including self ...

Senior Machine Learning Engineer

Franklin, TN · Remote

$118K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement cloudMLOpsand AIOps best practices to streamline the development, deployment, and maintenance of machine learning models. Continuously measure the impact of the AI-enabled workflows on key ...

Aiops information

What is an AIOps?

An AIOps job involves using artificial intelligence and machine learning to enhance IT operations by automating processes, analyzing vast amounts of data, and identifying patterns to prevent issues. AIOps professionals work with tools that help in real-time monitoring, anomaly detection, and incident response to improve system reliability and efficiency. They collaborate with IT teams to reduce downtime, improve performance, and streamline operations.

What does an AIOps do?

In an AIOps role, your primary responsibilities include monitoring IT infrastructure, analyzing large volumes of system data, and proactively automating responses to incidents using machine learning models and advanced analytics. You will collaborate closely with IT, DevOps, and cybersecurity teams to detect anomalies, optimize system performance, and reduce downtime. Troubleshooting and refining automation scripts are part of the daily workflow, along with participating in incident response and post-mortem analysis. This role requires continual learning, as you will regularly implement new tools and processes to stay ahead of emerging technology trends and operational challenges.

What are the key skills and qualifications needed to thrive in an AIOps?

To thrive in an AIOps role, you need a strong background in IT operations, data analytics, and automation technology, often supported by a degree in computer science or a related field. Familiarity with monitoring tools like Splunk, ELK Stack, and AI/ML platforms, as well as certifications in cloud platforms or DevOps practices, is highly valuable. Excellent problem-solving skills, adaptability, and effective communication are essential for collaborating with cross-functional teams. These competencies enable AIOps professionals to effectively predict, identify, and resolve IT issues rapidly, ensuring seamless and efficient system operations.

How to become an Aiops engineer?

To become an Aiops engineer, you should have a strong background in IT operations, systems administration, or software engineering, along with knowledge of AI and machine learning concepts. Gaining experience with monitoring tools, automation, scripting languages, and cloud platforms is essential. Earning relevant certifications and developing skills in data analysis and incident management can also improve job prospects.

Is Aiops still relevant?

Aiops is a growing field focused on using artificial intelligence to automate and improve IT operations, making it highly relevant as organizations seek to enhance system reliability and efficiency. Professionals in Aiops often work with machine learning tools and monitoring platforms to analyze large data sets and predict issues before they impact services.

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

The most popular types of Aiops jobs in Tennessee are:

What are popular job titles related to Aiops jobs in Tennessee?

For Aiops jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Aiops jobs in Tennessee look for?

The top searched job categories for Aiops jobs in Tennessee are:

Infographic showing various Aiops job openings in Tennessee as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% In-person job distribution.

Cloud Software Engineer

ITR

Oak Ridge, TN • On-site

$57.25 - $74.50/hr

Full-time

Re-posted 15 days ago


Job description

  • Mid -level (2-5 years)
  • Must be eligible for a security clearance (US Citizen)
  • Must be able to work 100% onsite in Oak Ridge, Tennessee

We are looking for a Cloud Software Engineer who enjoys the intersection of application code and cloud infrastructure.
Key Responsibilities
  • Architect & Build: Design and develop scalable software solutions leveraging core AWS services (EC2, S3, Lambda, Step Functions, SQS, SNS, RDS, and API Gateway).
  • Infrastructure as Code (IaC): Use Terraform to provision, manage, and version-control cloud resources, ensuring high availability and environmental parity.
  • Full-Stack Development: Write clean, maintainable, and efficient code in Python (for backend logic and automation) and JavaScript/Node.js (for web services and integrations).
  • Containerization: Manage application packaging and deployment using Docker, moving toward a microservices-based architecture.
  • Automate Everything: Maintain and optimize our AWS CI/CD pipelines, ensuring that every pull request in Git moves through a robust testing and deployment lifecycle.
  • Collaborate: Use Jira to track progress, participate in sprint planning, and contribute to a culture of transparency and technical excellence.
Required Qualifications
  • Education: BS or MS in Computer Science (or a related technical field).
  • Experience: A minimum of 2+ years of professional experience in a software engineering role.
  • Cloud Proficiency: Hands-on experience developing and deploying software within AWS cloud infrastructure.
  • IaC Skills: Proven experience deploying and managing production-grade resources using Terraform.
  • Programming: High proficiency in Python and JavaScript (Node.js/React preferred).
  • DevOps Toolchain: Familiarity with Git (branching strategies, PR workflows), Jira, and AWS DevOps tools (CodeBuild, CodeDeploy, etc.).
  • Containers: Solid experience with Docker for creating, deploying, and managing containers.
Preferred Tech Stack
  • Database: Experience with MySQL, PostgreSQL, DynamoDB or Aurora.
  • Observability: Using CloudWatch and OpenTelemetry for system health.
  • Security: Understanding of IAM roles, policies, VPC security groups, and encryption.
  • AI: Familiarity with agentic AI design patterns, AI dev tool sets (AIOPs), and LLM integration.