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Ai Developer Operations Engineer Jobs in Kentucky

$80 - $90/hr

Contribute to AI and data‑focused technology initiatives where cloud infrastructure and DevOps capabilities are required. Requirements * 5+ years of professional experience in cloud engineering ...

$95K - $123K/yr

We are looking for talented Platform/DevOps engineer with deep expertise in Kubernetes, Database technologies, Terraform, and Ansible to help scale β€’ β€’ β€’ β€’ β€’ 's AI platform across on ...

$103K - $155K/yr

Northrop Grumman Defense Systems (NGDS) is seeking a DevOps Engineer to join our team at the National Air and Space Intelligence Center (NASIC) at Wright‑Patterson Air Force Base. You will be an ...

$39 - $53.25/hr

We are looking for a DevOps Engineer familiar with Unix/Linux/SE for our Partner's Data Centric ... We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the ...

$120K - $160K/yr

Everforth ECS is seeking a DevOps Engineer to work at our Ft. Meate, MD location. Everforth ECS is seeking a DevOps Engineer to work in a hybrid capacity with 3 days a week onsite at DISA HQ in Ft.

$39 - $53.25/hr

Ensure the DevOps environment facilitates designing, implementing, deploying, and executing automated tests, and investigating new technologies to continually improve DevOps processes. Collect ...

$95K - $123K/yr

Powered by AI, driven by human innovation. Our culture is forward thinking, customer obsessed and ... Nextiva is looking for a Senior DevOps Engineer to own and modernize our CI/CD pipelines and ...

$39 - $53.25/hr

Opiniion is a SaaS, AI-first company reshaping how businesses understand and act on customer feedback. We're looking for a Staff DevOps Engineer to own the reliability, scalability, and security of ...

$80K - $130K/yr

Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we're now ... We're looking for an outstanding DevOps Engineer to join our team. This role is available across ...

$39 - $53.25/hr

Use approved Generative AI tools for documentation, scripting, testing, troubleshooting, and ... The Associate AWS DevOps Engineer will contribute to cloud migrations, production operations ...

$95K - $123K/yr

We are hiring a Senior DevOps Engineer to join our US team to lead the deployment and scaling of AI ... As our company delivers full-stack AI applications to some of the world's leading financial ...

$39 - $53.25/hr

As a Principal DevOps Engineer within our Digital Operations team, you won't just be managing ... DevSecOps & AI Pipeline Integration * Partner with Cybersecurity and Zero‑Trust teams to ...

$51K - $69K/yr

Trissential is seeking a Customer AI Operations Engineer to join our client's team and take ownership of the operational success of enterprise AI agents, virtual assistants, and generative AI ...

$77K - $176K/yr

## DevOps EngineerApplylocations: Chantilly, VAtime type: Full timeposted on: Posted Todaytime left ... AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical ...

$95K - $123K/yr

We are looking for a Senior DevOps Engineer to join our client, an international product company providing high-scale platform solutions for the iGaming industry. This is an additional hire to ...

$128K - $176K/yr

... AI-powered platform combining the highest-quality care and technology solutions. About the Role: W ... As a Lyra Sr. DevOps Engineer, you will be responsible for designing, implementing, and maintaining ...

$95K - $123K/yr

We are looking for a Senior DevOps Engineer to join our client, an international product company providing high-scale platform solutions for the iGaming industry. This is an additional hire to ...

$39 - $53.25/hr

DevOps Engineer II Overview CoStar Group (CSGP) is a leading global provider of commercial and ... Foundational understanding of AI/ML concepts and practical application as it applies to improving ...

$39 - $53.25/hr

We own the services that sit between product-facing chat/agent experiences and the AI runtime layer ... Ensure strong operational posture for the team's services -- monitoring, incident response, and ...

Showing results 21-40

Ai Developer Operations Engineer information

What is the difference between Ai Developer Operations Engineer vs Data Scientist?

AspectAi Developer Operations EngineerData Scientist
Required credentialsBachelor's in CS, Engineering, or related; certifications in cloud or DevOpsBachelor's or higher in Statistics, Math, or CS; often with data analysis certifications
Work environmentDevOps teams, cloud platforms, AI model deploymentData analysis, modeling, research teams
Employer usageTech companies, AI startups, cloud providersResearch institutions, tech firms, finance, healthcare
Search intentAI deployment, operations, automationData analysis, insights, modeling

The Ai Developer Operations Engineer focuses on deploying, maintaining, and automating AI models in production environments, often working closely with DevOps teams. Data Scientists primarily analyze data, build models, and generate insights. While both roles require technical skills, the Operations Engineer emphasizes deployment and system integration, whereas Data Scientists focus on data analysis and modeling.

What cities in Kentucky are hiring for Ai Developer Operations Engineer jobs?

Cities in Kentucky with the most Ai Developer Operations Engineer job openings:

Cloud and DevOps Engineer

On-site

$80 - $90/hr

Other

Posted 13 days ago


Job description

Jobgether is hiring a remote candidate for Cloud and DevOps Engineer. This is a contract position. Work location: USA. The role typically involves technologies such as Kubernetes, Terraform, CI/CD, AWS, Azure, Linux. This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud and DevOps Engineer based in the United States. This fully remote contract role offers the opportunity to design, automate, and manage modern cloud infrastructure supporting enterprise applications and data initiatives. You will work across cloud platforms, infrastructure as code, containers, CI/CD, and site reliability engineering to build scalable and resilient environments. Your work will contribute directly to infrastructure modernization, operational efficiency, and reliable technology delivery. You will collaborate with cross‑functional teams to improve the security, performance, and availability of cloud systems. The role combines hands‑on engineering with automation, troubleshooting, and continuous improvement in a fast‑paced environment. You will use technologies such as Azure, AWS, Terraform, and Kubernetes to solve complex infrastructure challenges. This opportunity is well suited to an experienced cloud or DevOps professional who enjoys building dependable systems and driving technical innovation.

Accountabilities
  • Design, implement, and manage scalable cloud infrastructure solutions supporting enterprise applications and data initiatives.
  • Develop and maintain infrastructure as code using Terraform to automate and standardize cloud environments.
  • Deploy, configure, and manage Kubernetes‑based containerized workloads and orchestration environments.
  • Build, maintain, and improve CI/CD pipelines to support reliable and efficient software delivery.
  • Apply site reliability engineering practices to improve system availability, performance, scalability, and operational resilience.
  • Automate infrastructure and operational processes using appropriate tools, scripting languages, and engineering best practices.
  • Monitor, troubleshoot, and resolve complex infrastructure, application, and system issues across cloud environments.
  • Work closely with cross‑functional teams to ensure cloud solutions meet reliability, security, performance, and business requirements.
  • Contribute to infrastructure modernization initiatives and identify opportunities to improve efficiency and scalability.
  • Apply cloud security best practices throughout infrastructure design, deployment, configuration, and ongoing operations.
  • Support cloud environments across Azure and AWS while maintaining consistent operational and engineering standards.
  • Contribute to AI and data‑focused technology initiatives where cloud infrastructure and DevOps capabilities are required.
Requirements
  • 5+ years of professional experience in cloud engineering, DevOps, infrastructure engineering, or a closely related role.
  • Strong proficiency with Microsoft Azure and Amazon Web Services (AWS) cloud platforms.
  • Hands‑on experience using Terraform for infrastructure as code and automated cloud provisioning.
  • Strong knowledge of Kubernetes and container orchestration concepts and practices.
  • Experience applying Site Reliability Engineering principles to improve reliability, scalability, and operational performance.
  • Practical experience developing, maintaining, and managing CI/CD pipelines.
  • Strong troubleshooting and problem‑solving abilities, with the capacity to diagnose complex systems and application issues.
  • Experience with automation tools and scripting languages used to streamline infrastructure and operational processes.
  • Understanding of cloud security principles and best practices.
  • Ability to collaborate effectively with cross‑functional teams in a fast‑paced, distributed environment.
  • Strong communication skills and a proactive approach to identifying and resolving technical challenges.
  • Familiarity with Microsoft Azure services such as Azure DevOps and Azure AI is preferred.
  • Experience supporting AI and data initiatives is an advantage.
  • Experience administering Linux and Windows server environments is a plus.
Benefits
  • Indicative contract rate: $80–$90 per hour.
  • Fully remote position within the United States.
  • Contract‑based work offering flexibility within a distributed working environment.
  • Opportunity to work with leading cloud technologies, including Azure, AWS, Terraform, and Kubernetes.
  • Exposure to enterprise cloud modernization, automation, CI/CD, and site reliability engineering initiatives.
  • Opportunity to contribute to AI and data‑focused technology projects.
  • Hands‑on experience solving complex infrastructure and scalability challenges.
  • Opportunity to collaborate with cross‑functional technical teams in a fast‑paced environment.
  • Potential to develop and apply expertise across cloud infrastructure, DevOps automation, containers, and cloud security.
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