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This role involves full systems life cycle management, including designing, developing, and maintaining applications using Java, Spring Boot, and microservices. The developer will work with event-driven architectures, cloud platforms, and CI/CD pipelines to support logistics systems.
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.
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.
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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.
Designs and builds data-driven applications for logistics systems using GCP cloud and SQL, handling full lifecycle development and maintenance.
Senior Data Engineer builds and maintains batch and real-time data pipelines for UPS, enabling data science and machine learning with tools like Python, PySpark, and Databricks.
Leads software projects and PMO functions for UPS’s logistics/e-commerce systems, using Agile and Jira Cloud to manage releases, workflows, and dashboards.
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 web applications using React for the frontend, Python/Django for the backend, and Google Cloud Platform for deployment, while collaborating with cross-functional teams.
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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