Senior DevOps Engineer (Azure)

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.

So, what’s the role all about?

NICE is building a production-grade AI platform to power intelligent automation across the enterprise. As IT DevOps Engineer on the AI Orchestration and Dev team, you are the engineer who makes sure that everything the architects design and the software engineers build actually runs, reliably, securely, and at scale.

You will own the infrastructure-as-code, CI/CD pipelines, container orchestration, secrets management, and cloud cost governance for NICE's IT AI environment. You will work shoulder-to-shoulder with Software Engineers, the Cloud Architect, and the Security team to deliver a platform that developers trust and operations teams can rely on.

This role sits at the intersection of platform engineering and AI operations. Beyond traditional DevOps, you will manage MLOps/LLMOps workflows, handling model deployment pipelines, compute provisioning, inference infrastructure, and AI-specific observability. If you want to be the person who keeps a cutting-edge AI platform in production, this is that role.

 How will you make an impact? 

You will own the operational backbone of NICE's AI platform, CI/CD, Kubernetes, MLOps, security, observability, and FinOps, partnering with the Architect, Software Engineers, Systems, Network, and Security teams to keep it reliable, secure, and cost-efficient.

Infrastructure as Code & Cloud Provisioning

• Own the Terraform / Bicep codebase for all NICE IT AI Azure resources: AKS, Azure OpenAI, APIM, Storage, Key Vault, Service Bus, Azure AI Search, Azure ML, and Entra ID app registrations
• Enforce IaC-only provisioning (no manual resource creation), with drift detection and automated remediation
• Manage multiple environments (dev, staging, prod) with environment-specific configurations and promotion gates
• Design and operate Azure Landing Zone patterns: management groups, policies, tagging standards, and network topology

CI/CD Pipeline Engineering

• Build and maintain GitHub Actions workflows for all AI platform components: Python services, TypeScript tooling, infrastructure modules, and container images
• Implement pipeline stages: lint, unit test, integration test, container build, vulnerability scan, policy check, deploy, smoke test, and auto-rollback
• Manage GitHub repository settings, branch protection rules, required reviewers, and environment secrets
• Integrate GitHub Copilot and Azure AI Foundry tooling into the developer workflow; maintain the internal developer portal

Kubernetes & Container Operations

• Manage AKS clusters: node pool lifecycle, cluster upgrades, and certificate rotation
• Configure Kubernetes networking (CNI, network policies, ingress controllers, private endpoints), storage (PVCs, Azure Files, Azure Disk), and RBAC
• Operate the container registry (ACR): image scanning, retention policies, geo-replication, and pull-through cache
• Implement GitOps deployment patterns for continuous delivery to AKS

MLOps / LLMOps Platform

• Build and operate model deployment pipelines: package LLM endpoints, manage Azure OpenAI deployments
• Manage Azure ML workspaces: compute clusters, environments, datasets, and model registry
• Operate MLflow or Azure ML experiment tracking

Identity, Secrets & Security

• Manage Azure Key Vault: secret rotation, access policies, diagnostic logging, and integration with Kubernetes via the CSI driver
• Configure Managed Identities and Workload Identity for all platform services, with no password-based service principals
• Implement Entra ID Conditional Access and PIM for privileged access to production resources
• Run regular access reviews and enforce least-privilege across all Azure RBAC assignments

Observability & Incident Response

• Design the observability stack: Azure Monitor, Log Analytics, Application Insights, and OpenTelemetry collectors
• Build dashboards covering infrastructure health, AI inference latency and error rates, token spend, agent success rates, and pipeline health
• Define and own SLOs for platform services; create actionable alert runbooks and on-call playbooks
• Lead incident response for platform outages: triage, mitigation, post-mortem, and remediation tracking

FinOps & Cost Engineering

• Build Azure Cost Management dashboards with per-team, per-workload, and per-model cost breakdowns
• Enforce resource tagging via Azure Policy and run monthly cost reviews with engineering teams
• Model and forecast infrastructure costs for new platform capabilities before they are built

 Have you got what it takes?

• 4+ years of DevOps or platform engineering experience in cloud-native environments
• Hands-on Azure expertise: AKS, Azure Monitor, Azure Networking, Key Vault, Entra ID, and at least one AI/ML service (Azure OpenAI, Azure ML, or Cognitive Services)
• Strong IaC skills: Terraform or Bicep, with real production codebases
• Deep GitHub Actions experience: multi-stage pipelines, reusable workflows, environment approvals, and secrets management
• Solid Kubernetes knowledge: deployments, services, ingress, RBAC, node pools, and cluster operations
• Experience with container lifecycle: Dockerfile authoring, image scanning, ACR, and deployment patterns
• Understanding of cloud security fundamentals: IAM, network segmentation, secrets rotation, and audit logging
• Strong incident response instincts: debugging distributed systems, reading logs and metrics under pressure
• Fluency in English

Bonus: 

• Experience with MLOps or LLMOps: model deployment pipelines, Azure ML, MLflow, or equivalent
• GitOps experience in AKS environments
• FinOps practitioner knowledge: cost allocation, chargeback models, reserved capacity management
• Experience with Azure Policy, Management Groups, and Landing Zone patterns at enterprise scale
• Scripting ability in Python or Bash for automation and tooling
• Familiarity with AI developer tools: GitHub Copilot, Azure AI Foundry, or Anthropic Claude API infrastructure
• Microsoft certifications: AZ-104 (Administrator), AZ-400 (DevOps Engineer Expert), or AZ-305 (Architect)

Why Join Us? 

At NiCE, we don’t just connect systems, we connect people, platforms, and possibilities. In this role, you’ll be at the heart of driving product unification, governance, and go-to-market alignment across a mission-critical platform. You’ll join a team that breaks down silos and enables seamless customer experiences across our product ecosystem. 

If you are a strategic thinker, a collaborative leader, and passionate about delivering cross-platform value, this is your opportunity to shape the future of customer experience with NiCE. 

What’s in it for you?

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!

Enjoy NiCE-FLEX!

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:11109

Reporting into: Director, IT Software Engineering

Role Type: Individual Contributor

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.