Senior Tech Developer - AI/ML on Google Cloud

About the role

UPS is looking for an experienced Senior Tech Developer to design and lead the development of next-generation AI/ML applications on Google Cloud. The role bridges machine learning and DevOps, requires cloud-native expertise and modern ML frameworks, and involves taking ownership of technical decisions, mentoring engineering teams and driving innovation across the platform.

Key responsibilities

• Design and implement scalable AI/ML pipelines using Databricks and Python, optimized for performance and cost
• Build AI engineering solutions on Google Cloud, using AlloyDB for data persistence and Cloud Run for containerized services
• Build and optimize APIs with Google Cloud API Gateway, including security, rate limiting and monitoring
• Develop LLM applications using Google's Gemini API for natural language understanding and generation
• Set up DevOps and artifact management with JFrog Artifactory for dependencies, build artifacts and container images
• Lead technical design reviews and architectural decisions, and mentor junior engineers
• Implement CI/CD pipelines with build artifact management, versioning and deployment automation
• Work with Product, Data Science and Infrastructure teams to deliver high-impact features

Required profile

• 8+ years of software development experience, with at least 3 years in cloud-native architectures
• Advanced Python skills with production ML/AI systems
• Hands-on Google Cloud Platform experience (AlloyDB, Cloud Run, API Gateway)
• Databricks experience for data engineering, feature engineering and ML model training
• Understanding of LLMs and experience building or integrating LLM applications
• Experience with artifact repositories and build systems (JFrog Artifactory or equivalent)
• Microservices, containerization (Docker/Kubernetes) and DevOps expertise
• Leadership and mentoring experience, strong problem-solving skills