Lead AI Platform Engineer

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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 Engine, Cloud Logging and Monitoring, Compute Engine, and networking.

• Strong troubleshooting, communication, collaboration, and leadership skills.

Preferred Qualifications

• Experience supporting AI, machine learning, or intelligent automation platforms.

• Experience deploying and operating enterprise-scale model serving 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.

Grade: 303 Last day for internals to apply 11/19/26

Pay Range: Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $108,600/year to $231,084/year. Pay is based on several factors including but not limited to, market location and may vary depending on job-related knowledge, skills, and education/training and a candidate’s work experience. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. Hired applicants may be eligible for Medical/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, 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, and Discounted Employee Stock Purchase Program.

Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Other Criteria: Employer will sponsor visas for specific positions. UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.