Lead AI Platform Engineer

UPS Supply Chain Solutions

1d•$108,600 - $231,084

About The Position

UPS is seeking a Lead Software Engineer to provide technical leadership for enterprise AI platforms that support the development, deployment, and operation of intelligent applications, agents, and automation solutions. The role designs, builds, and operates scalable platform capabilities on Red Hat OpenShift, 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 partner with infrastructure, security, architecture, and application teams to accelerate adoption of enterprise AI capabilities. The listed locations are Atlanta, Georgia; Dallas, Texas; and Mahwah, New Jersey, with location flexibility.

Requirements

Bachelor's degree in computer science, engineering, information systems, or a 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 Engine, Cloud Logging and Monitoring, Compute Engine, and networking.
Strong troubleshooting, communication, collaboration, and leadership skills.

Nice To Haves

Experience supporting AI, machine learning, or intelligent automation platforms.
Experience deploying and operating enterprise-scale model-serving or agent-based solutions.
Experience supporting GPU-enabled workloads and high-performance computing environments.
Experience with platform security, governance, compliance, and risk management.
Experience with DevOps, Site Reliability Engineering, and platform engineering practices.
Experience integrating enterprise platforms with identity, data, and application ecosystems.

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.
Use Google Cloud Platform capabilities, including compute, networking, IAM, and Cloud DevOps tooling such as CI/CD pipelines, Cloud Build, and artifact management.

Benefits

Medical and prescription drug coverage
Dental coverage
Vision coverage
Flexible Spending Account
Health Savings Account
Dependent Care Flexible Spending Account
Basic and Supplemental Life Insurance
Accidental Death and Dismemberment coverage
Disability Income Protection Plan
Employee Assistance Program
401(k) retirement program
Vacation
Paid holidays and personal time
Paid sick and family and medical leave time as required by law
Discounted Employee Stock Purchase Program
May be eligible for annual short-term and/or long-term incentive compensation programs