Senior DevOps Engineer, CX

The Build and Deploy team operate with a core belief: if a process is manual and repeatable, it should be automated. We actively seek out toil, eliminate it, and continuously improve the reliability, security, and speed of our pipelines and production systems. AI is the latest and most powerful enabler of this philosophy. AI in DevOps is a rapidly evolving field. Prior AI experience is not required — what we value is a strong desire to learn, experiment, and apply AI to make our processes better.

• Design, implement, and manage highly available and scalable AWS infrastructure.
• Use Terraform or CloudFormation to build and maintain Infrastructure as Code (IaC) for consistent, repeatable provisioning.
• Manage configuration, networking, and access policies across cloud environments.
• Develop, maintain, and enhance CI/CD pipelines using Jenkins and GitHub Actions & Workflows.
• Automate build, testing, and deployment processes to reduce manual effort and improve release velocity.
• Implement automated rollback, approval gates, and environment promotion workflows.
• Experience with managing EKS clusters including provision, scaling, and troubleshooting Kubernetes networking and security in AWS
• Containerize applications using Docker and deploy via ECS or EKS.
• Experience with configuring and fine-tuning observability stacks (Prometheus, Grafana, OTEL) for efficient monitoring, alerting, and troubleshooting at scale.
• Experience with leveraging AI tools (e.g., GitHub Copilot) to assist in coding, testing, and automating DevOps tasks.
• Experience in integration of AI-driven automation tools into CI/CD pipelines and Kubernetes management. 

• Experience: 5-8 years of relevant DevOps or Cloud Engineering experience.
• Kubernetes Platform Management EKS preferred.
• Cloud Platforms: Strong expertise with AWS (EC2, ECS, EKS, S3, RDS, CloudFront, IAM, VPC, Route53).
• IaC Tools: Proficiency with Terraform and AWS CloudFormation.
• Genuine curiosity and enthusiasm for applying AI tools and techniques to DevOps workflows.
• Willingness to explore AI-assisted development tools such as code assistants, automated testing aids, and prompt-based automation.
• Openness to learning how AI can improve build, deployment, and operational processes.
• Ability to quickly adopt new AI tools and incorporate them into daily work.
• Ability to evaluate AI tools and assess their practical value for CI/CD and infrastructure automation.
• Expected to prototype and integrate AI-driven solutions into existing pipelines and workflows.
• Contribute ideas and feedback to the team's AI adoption strategy.
• Stay current with emerging AI tooling relevant to DevOps and share findings with the team.
• Able to evaluate an AI tool's fit for a specific CI/CD challenge and articulate trade-offs.

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10674

Reporting into: Tech Manager, CX

Role Type: Individual Contributor