Description

You will design and implement scalable AI/ML solutions and cloud-native applications on Google Cloud, leading technical architecture and mentoring engineering teams.

This role is on-site.

Responsibilities

• Build and maintain microservices-based applications using Docker and Kubernetes.
• Develop cloud-native AI applications on Google Cloud using Cloud Run, AlloyDB, and API Gateway.
• Integrate Large Language Models (LLMs), including Google's Gemini API, into enterprise applications.
• Implement DevOps best practices, including CI/CD automation and artifact management using JFrog Artifactory.
• Lead technical architecture discussions and design reviews while mentoring engineering teams.

Required Skills

• 8+ years of software development experience.
• Advanced proficiency in Python for production AI/ML applications.
• Strong experience with Google Cloud Platform (Cloud Run, AlloyDB, API Gateway).
• Proven expertise with Databricks for data engineering and machine learning workloads.
• Experience developing applications using LLMs (Gemini or similar).
• Experience with JFrog Artifactory, CI/CD pipelines, and modern DevOps practices.
• Expertise in Docker, Kubernetes, and microservices architecture.
• Strong analytical and problem-solving abilities.

Key Skills

Education

Bachelor's degree