Job Opportunities API

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. AI   DevOps   Engineer – Cloud AI Platforms At NICE, we are not just building   software—we are transforming how cloud operations are run using AI. We are building intelligent platforms that can   understand system behavior, make decisions, and automate real-world operational workflows   at scale. If you’re excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.   What’s the role all about? 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     Key Responsibilities •   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     What we’re looking for •   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, JavaScr