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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI DevOps Engineer - **Company:** NICE Ltd. - **Location:** Sandy, UT, United States - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Continuous Integration, DevOps, Distributed Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, Cloud Services, Prometheus, Unstructured Data, Rust (Programming Language), Cloud Platform System, ReactJS, Delivery Pipeline, Large Language Models, Grafana, Prompt Engineering, Backend, Event Driven Architecture, Kubernetes, Deployment Automation, Front End Software Development, Restful APIs, GPT, Data Pipelines, Docker, Microservices - **Published:** August 3, 2026 - **Apply:** https://www.jofdav.com/jobs/59073970-ai-devops-engineer ## About the Role * Strong experience in backend development ( Typscript , C#, .NET, Python, RUST or similar) * Experience building scalable, distributed systems in cloud environments * Familiarity with APIs, microservices, and event-driven systems * Exposure to AI/ML concepts, LLMs, or AI SDKs (hands-on preferred) * Experience with AWS / Azure / GCP * Working knowledge of CI/CD, Docker, Kubernetes * Strong problem-solving and analytical skills * Ability to work in a fast-paced, evolving environment Nice to have * Experience with LLM frameworks or prompt engineering * Knowledge of observability tools (Grafana, Prometheus, etc.) * Experience building automation or internal platforms * Frontend exposure (React, JavaScript) ## Description At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you., As an AI DevOps Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks. This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments . How will you make an impact? * Build and scale AI-driven workflows and automation systems * Develop integrations with systems like monitoring platforms, ticketing tools, CI/CD pipelines, and cloud services * Design and implement APIs, tools, and data pipelines that power AI-driven decision-making * Work on LLM integrations, Model training, PII redaction solutions, prompt engineering, and orchestration layers * Translate real-world operational problems into automated, intelligent solutions * Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities * Improve system performance, reliability, and observability, * Design and develop scalable backend systems for AI-powered platforms * Build and maintain AI integrations, workflows, and automation pipelines * Implement REST APIs, microservices, and event-driven architectures * Work with both structured and unstructured data for AI use cases * Contribute to CI/CD pipelines, testing, and deployment automation * Troubleshoot and optimize production systems * Collaborate with cross-functional teams to deliver high-quality solutions * Contribute to reusable frameworks and engineering best practices ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure](https://www.wearedevelopers.com/videos/1539-agentic-devops-how-ai-powered-automation-transforms-software-delivery-on-github-and-azure) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)