Senior GCP Software Developer

We are looking for an experienced GCP Cloud Developer to design, develop, and maintain cloud-native applications and infrastructure using Google Cloud Platform services. The role involves working with conversational AI, infrastructure as code (Terraform), and scalable cloud architectures to deliver reliable, secure, and high-performing solutions. The ideal candidate has strong development skills in Java/Python and hands-on expertise with core GCP services.

Key Responsibilities:

• Design, develop, and maintain cloud-native applications leveraging GCP services such as Cloud Run, GKE, Cloud Storage, VPC, Pub/Sub, BigQuery, and Cloud SQL (PostgreSQL).
• Collaborate with architects and engineering teams to build scalable, secure, and reliable cloud architectures.
• Use Terraform to automate infrastructure provisioning and manage GCP environments.
• Lead deployment activities on GCP, including IAM role management and access control.
• Develop and enhance conversational AI platforms integrating cloud and on-premise APIs and AI services.
• Participate in planning, code reviews, and cross-functional team collaboration.
• Monitor, optimize, and troubleshoot GCP infrastructure to ensure high availability and performance.

• Strong proficiency in Java and Python development with at least 8 years of software development experience.
• Minimum 3 years of hands-on experience with Google Cloud Platform services.
• Expertise with Cloud Run, GKE, Cloud Storage, VPC, gRPC, Pub/Sub, PostgreSQL (Cloud SQL), and BigQuery.
• Proficient in Terraform for infrastructure as code and automation.
• Deep understanding of cloud-native architecture patterns, microservices, and containerization.
• Experience with build and deployment pipelines using Jenkins or Bamboo, and artifact management with Google Artifactory.
• Strong knowledge of GCP IAM, service account management, and permission/access control.

• Experience working on conversational AI projects.
• Familiarity with data analysis using BigQuery and integration with databases.
• Hands-on experience with deployment automation and CI/CD pipelines.

Google Cloud Certified Professional Cloud Architect or related certifications are a plus.

Education:

Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.