Jobs → Data & Analytics → GCP DevOps & Data Engineer

About the Role We are seeking a GCP DevOps & Data Engineer to join our team, focusing on developing and maintaining scalable backend services and AI/ML applications using Google Cloud Platform. Key Responsibilities • Develop AI/ML applications leveraging Google's Gemini API for natural language understanding and generation • Build and enhance cloud-native applications using Python, Databricks, and Google Cloud Platform • Design, develop, and maintain scalable backend services using Cloud Run and serverless architectures • Develop and optimize APIs using Google Cloud API Gateway while following security and performance best practices • Build and maintain AI/ML data pipelines using Databricks • Develop and maintain CI/CD pipelines using GitOps methodologies • Manage build artifacts and repositories using JFrog Artifactory and Azure DevOps • Work with GCP data services including BigQuery, AlloyDB, Cloud Storage, and Spanner • Develop event-driven integrations using Pub/Sub and Kafka • Implement Infrastructure as Code using Terraform • Collaborate with Product, Data Engineering, and Infrastructure teams to deliver scalable AI solutions • Follow GCP security, IAM, encryption, and cloud best practices throughout the development lifecycle Requirements • Bachelor's degree in Computer Science, Engineering, or a related field • 3–5 years of experience in Backend Development, AI/ML Engineering, DevOps, or Cloud Engineering • Hands-on experience with Google Cloud Platform services including Cloud Run, GKE, BigQuery, AlloyDB, Cloud Storage, and serverless technologies • Experience developing applications using Python • Working knowledge of Databricks for AI/ML and data processing workloads • Experience with REST API development and Google Cloud API Gateway • Experience with CI/CD, GitOps, Azure DevOps, and JFrog Artifactory • Experience implementing Infrastructure as Code using Terraform • Experience with Pub/Sub or Kafka • Understanding of GCP IAM, encryption, and cloud security best practices • Strong analytical, troubleshooting, and problem-solving skills • Good communication and collaboration skills