# Lead AI Platform Engineer at UPS

UPS is hiring a Lead AI Platform Engineer. It pays $109k-$231k a year and Level rates it Little AI ●○○○; you can [apply on UPS](https://jobsbylevel.com/go/ec66ed31-0546-43b6-b8ca-0dbc41b4aeb5?utm_medium=ai-agent).

AI Level 1, AI centrality 20 out of 100. US - UPS CORPORATE OFFICES (GACOR).

## Details

- Company: [UPS](https://jobsbylevel.com/companies/ups)
- AI level: AI Level 1 (score 20 out of 100)
- Location: US - UPS CORPORATE OFFICES (GACOR)
- Salary: $109k-$231k
- Posted: November 9, 2026
- Apply: https://jobsbylevel.com/go/ec66ed31-0546-43b6-b8ca-0dbc41b4aeb5?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=lead-ai-platform-engineer-at-ups-60713d

## Description

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description: Location : Atlanta, Georgia, Dallas, TX, Mahwah, NJ flexible We are seeking a Lead Software Engineer to provide technical leadership for enterprise AI platforms that enable the development, deployment, and operation of intelligent applications, agents, and automation solutions. This role will be responsible for designing, building, and operating scalable platform capabilities on Red Hat OpenShift while ensuring reliability, security, performance, and compliance across the technology stack. The successful candidate will lead platform engineering initiatives, establish technical standards and best practices, drive automation and operational excellence, and work closely with infrastructure, security, architecture, and application teams to accelerate the adoption of enterprise AI capabilities. Key Responsibilities Lead the architecture, design, and implementation of enterprise AI platform capabilities. Provide technical leadership for OpenShift-based platform environments supporting AI and intelligent automation workloads. Define engineering standards, operational processes, and platform governance practices. Build and maintain scalable, secure, and highly available platform services. Develop automation for platform provisioning, deployment, upgrades, monitoring, and lifecycle management. Establish observability, logging, monitoring, capacity planning, and performance management processes. Partner with infrastructure, cybersecurity, architecture, and application teams to ensure alignment with enterprise technology standards. Support development teams in onboarding, deployment, and operationalization of AI-enabled solutions. Drive platform reliability through proactive risk management, incident response, root cause analysis, and continuous improvement. Evaluate emerging technologies and recommend platform enhancements that improve scalability, developer productivity, and operational efficiency. Mentor engineers and provide technical guidance across multiple teams and initiatives. Proficiency with Google Cloud Platform — compute, networking, IAM, and Cloud DevOps tooling (CI/CD pipelines, Cloud Build, artifact management) Minimum Qualifications Bachelor's degree in computer science, Engineering, Information Systems, or related field, or equivalent experience. 10+ years of software engineering, platform engineering, cloud engineering, or Linux system administration experience. 3+ years of technical leadership or project management experience. Strong hands-on experience administering Red Hat OpenShift container platforms, including OpenShift 3.x/4.x, Kubernetes, Docker, RHEL/CoreOS, and containerized application platforms. Experience with Istio Service Mesh, platform networking, container storage and enterprise platform operations. Experience building, operating, and supporting large-scale enterprise platforms with strong reliability, scalability, and operational practices. Experience developing code, using source code repositories, and implementing DevOps engineering concepts. Experience with automation and infrastructure-as-code practices using Ansible, Ansible Tower, shell scripting, and Jenkins Pipeline. Experience with monitoring, observability, logging, and operational support using Prometheus, Dynatrace, and related platform monitoring tools. Hands-on experience with Red Hat Advanced Cluster Management. Hands-on GCP experience with Google Kubernetes

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/lead-ai-platform-engineer-at-ups-60713d

Source: https://jobsbylevel.com/jobs/lead-ai-platform-engineer-at-ups-60713d

## Cite this page

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