Senior DevOps/Model Ops Engineer at NICE

Sandy, Utah, United States -

Full Time

Start Date

Immediate

Expiry Date

30 Dec, 25

Salary

0.0

Posted On

01 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

DevOps, MLOps, AWS, SageMaker, IAM, CloudFormation, CI/CD, Jenkins, GitHub Actions, CodePipeline, Docker, ECS, EKS, Model Drift Detection, Monitoring, Rollback Strategies

Industry

Software Development

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. NICE is seeking a Senior MLOps/DevOps Engineer to lead the deployment, automation, and lifecycle management of machine learning (ML) models in our multitenant CCaaS platform. This role will focus on managing AWS deployments and implementing best practices for ML observability, rollback, and CI/CD workflows. You will collaborate closely with a cross-functional application team and a global DevOps organization to deliver reliable, secure, and scalable ML operations. You will play a vital role in ensuring that models not only work in notebooks but perform consistently in production environments. Responsibilities Develop and maintain CI/CD pipelines for ML models and associated infrastructure. Design and implement monitoring, logging, and alerting for ML model pipelines. Ensure security, auditability, and scalability of ML infrastructure. Collaborate with DevOps and platform teams on shared cloud infrastructure. Write and maintain runbooks to help support teams resolve production issues. Respond to escalated production issues, sometimes outside normal business hours. Required Qualifications 5+ years of experience in DevOps or MLOps, with at least 2 years focused on ML systems. Strong experience with AWS, especially SageMaker, IAM, and CloudFormation. Proficiency in CI/CD tools such as Jenkins, GitHub Actions, or CodePipeline. Experience with containerization (Docker) and orchestration tools (ECS, EKS). Knowledge of model drift detection, monitoring, and rollback strategies. Preferred Qualifications Experience supporting multitenant architectures in SaaS environments. Familiarity with ML metadata tracking and experiment management. Exposure to model governance or responsible AI frameworks. 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.

Responsibilities

Develop and maintain CI/CD pipelines for ML models and associated infrastructure. Design and implement monitoring, logging, and alerting for ML model pipelines.