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The Applications Architect at UPS will lead Salesforce strategy and solution architecture, focusing on Service Cloud implementation, business process automation, and system integrations. The role involves overseeing the project lifecycle and aligning technical capabilities with enterprise business needs.
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The Senior Software Development Engineer ensures production stability and system reliability for UPS by managing runtime health, troubleshooting incidents, and developing automation. The role requires strong Java expertise and experience with cloud platforms, messaging systems, and databases like Couchbase and PostgreSQL.
Senior Product Manager delivering AI governance platform capabilities on IBM watsonx.governance at UPS, building workflow automation across the AI lifecycle from intake through retirement in a hybrid Louisville role.
The Lead Product Manager for AI Governance at UPS shapes the strategy, roadmap, and platform vision for AI governance, GenAI, and automation across the enterprise. They define governance workflows, risk frameworks, and tooling (e.g., IBM watsonx.governance) to scale oversight of AI lifecycle stages while aligning with legal, security, and business priorities.
DevOps Platform & Cloud Operations Engineer focusing on building CI/CD pipelines (Azure DevOps, Jenkins), automating cloud operations (Azure, GCP), implementing IaC (Terraform), and supporting DevSecOps best practices.
Build and lead AI/ML systems on Google Cloud, including LLM apps with Gemini, scalable pipelines with Databricks, and DevOps practices for UPS logistics tech.
Lead a Site Reliability Engineering team at UPS, defining reliability standards, automating operations, and mentoring engineers to ensure high availability of critical logistics systems.
Senior developer building Salesforce Service Cloud and AI-powered agent-assist tools to automate customer service workflows and boost agent productivity.
Develops and maintains Java-based production systems for UPS, focusing on automation, monitoring, and incident response to ensure reliability of logistics applications.
Builds and maintains full-stack logistics applications using C#, .NET, MVC, Angular, and Azure Cloud, with REST APIs and MS SQL databases.
Develops and maintains applications using .NET, C#, SQL, and REST APIs, supporting the full systems lifecycle from analysis to implementation, with responsibilities including testing and automation.
Build and productionize ML models and AI systems to automate logistics workflows, using frameworks like PyTorch and scikit-learn in a cloud environment.
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