Senior Lead, Site Reliability Engineering

About NCR VOYIX

NCR Voyix Corporation (NYSE: VYX) is a global platform-powered leader in unified commerce for shopping and dining. Combining a flexible, intelligent platform with end-to-end payments capabilities and services developed through its deep industry experience, NCR Voyix empowers retailers and restaurants to accelerate new possibilities for their operations, experiences and business outcomes. NCR Voyix is headquartered in Atlanta, Georgia, and serves customers in more than 35 countries worldwide.

Role Summary

We are seeking an experienced AI Senior Lead to drive the design, implementation, and operationalization of enterprise AI solutions across Observability, Troubleshooting, Store Deployment, Program Management, and Edge Infrastructure domains. This role will lead the development of AI-powered agents, automate business-as-usual (BAU) operations, and integrate AI capabilities with enterprise platforms including Kubernetes, Jira, Confluence, GitHub, Azure, and Google Cloud Platform (GCP).

The ideal candidate combines expertise in AI/ML, SRE, cloud platforms, automation engineering, platform operations, and enterprise tooling integration to deliver scalable agentic solutions that improve operational efficiency, reliability, and business outcomes.

## Platform & Integration Leadership

Lead integrations between AI platforms and enterprise ecosystems including:

• Kubernetes

• GitHub / GitHub Copilot

• Jira

• Confluence

• Azure AI Services

• Azure OpenAI

• Azure Kubernetes Service (AKS)

• Google Cloud Platform (GCP)

• Monitoring platforms (Datadog, Splunk, Dynatrace, New Relic, Prometheus, Grafana, etc.)

• CI/CD platforms and DevOps toolchains

Responsibilities include:

• Building agent frameworks and orchestration layers.

• Developing APIs and workflow integrations.

• Creating reusable AI services and enterprise accelerators.

• Ensuring scalability, reliability, security, and compliance.

Technical Leadership

• Define enterprise AI architecture standards and reference patterns.

• Mentor engineering teams on AI, automation, SRE, and cloud-native technologies.

• Evaluate emerging AI platforms, LLMs, agent frameworks, and automation technologies.

• Partner with business leaders, architects, and engineering teams to align AI investments with strategic goals.

• Establish KPIs and success metrics for AI adoption and operational excellence.

Required Qualifications

Education

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Science, or related field.

Experience

• 10+ years of experience in software engineering, cloud infrastructure, platform engineering, or SRE.

• 5+ years of experience leading enterprise automation or AI initiatives.

• Proven experience building and operating large-scale cloud-native platforms.

• Demonstrated success leading cross-functional technical teams.

Technical Skills

AI & Automation

• Generative AI, LLMs, RAG, Agentic AI frameworks

• AI orchestration platforms

• Prompt engineering and workflow automation

• AI governance and responsible AI practices

Cloud Platforms

• Microsoft Azure

• Google Cloud Platform (GCP)

• Multi-cloud architecture and operations

Container & Platform Engineering

• Kubernetes

• AKS / GKE

• Docker

• Infrastructure as Code (Terraform preferred)

DevOps & Integration

• GitHub

• GitHub Actions

• CI/CD pipelines

• REST APIs

• Event-driven architectures

Observability

• OpenTelemetry

• Prometheus

• Grafana

• Datadog

• Splunk

• Dynatrace

• New Relic

Collaboration Tools

• Jira

• Confluence

• Agile/Scrum frameworks

Programming

• Python

• Go

• Java

• JavaScript/TypeScript

• Bash/Shell scripting

Preferred Qualifications

• Experience implementing enterprise AI agents in production.

• Knowledge of Microsoft Copilot ecosystem and Azure OpenAI.

• Experience with AIOps platforms and autonomous remediation.

• Experience managing edge infrastructure and distributed computing environments.

• Relevant certifications:

• Azure Solutions Architect

• Google Professional Cloud Architect

• Certified Kubernetes Administrator (CKA)

• AI/ML certifications

Leadership Competencies

• Strategic thinking and innovation

• Executive stakeholder management

• Technical architecture leadership

• Cross-functional collaboration

• Operational excellence mindset

• Data-driven decision making

• Strong communication and presentation skills

Offers of employment are conditional upon passage of screening criteria applicable to the job

EEO Statement

Integrated into our shared values is NCR Voyix’s commitment to equal employment opportunity.  All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law.  NCR Voyix is committed to being a globally inclusive company where all people are treated fairly, recognized for their individuality, promoted based on performance and encouraged to strive to reach their full potential.  We believe in understanding and respecting differences among all people.  Every individual at NCR Voyix has an ongoing responsibility to respect and support a globally diverse environment.

Statement to Third Party Agencies

To ALL recruitment agencies: NCR Voyix only accepts resumes from agencies on the preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Voyix employees, or any NCR Voyix facility. NCR Voyix is not responsible for any fees or charges associated with unsolicited resumes

“When applying for a job, please make sure to only open emails that you will receive during your application process that come from a @ncrvoyix.com email domain.”