Job 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. 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, JavaScript) About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

Requirements

Must-haves

What’s the role all about?
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

Nice-to-haves

Exposure to AI/ML concepts, LLMs, or AI SDKs (hands-on preferred)
Experience with LLM frameworks or prompt engineering
Knowledge of observability tools (Grafana, Prometheus, etc.)
Experience building automation or internal platforms
Frontend exposure (React, JavaScript) About NiCE
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdllmrestpythonrustmlawsazuregcpdockerkubernetesreactjavascript

Platform: greenhouse
Effort: quick