Google Cloud Platform Engineer

2 weeks ago

Bengaluru, India Sureminds Solutions Pvt. Ltd. Full time

Role - GCP EngineerExperience - 6 to 15 yearsNotice Period- 0- 30daysLocation - Bangalore (WFO)Direct Payroll - Tech MahindraJob Description :1. Platform Management & Operations : - Oversee the daily operations, maintenance, and health of the QE Tooling platform, ensuring high availability and optimal performance.- Monitor the platform's health and performance using GCP logging and monitoring tools.- Regularly verify GKE cluster health, K8s pods, and overall GCP console service health.2. Deployment & Release Management : - Manage and execute application deployments through CI/CD pipelines, including merging release candidates to the main branch and verifying pipeline triggers.- Oversee database schema creation and migration processes (Postgres DBaaS), initiating and monitoring relevant pipelines.3. Troubleshooting & Support : - Provide expert-level support, diagnosing and resolving complex issues related to GCP, GKE, and database connectivity.- Investigate and resolve integration issues with external systems like Secret Manager, storage buckets, and DBaaS by reviewing application logs.- Collaborate with Cloud DB Ops and Cloud Platforms teams for advanced support needs.4. User Enablement & Collaboration :- Facilitate user onboarding and manage project creation/allocation for GCP/GKE access.- Work closely with Quality Engineering teams to understand their needs, gather feedback, and identify opportunities for platform enhancements.- Perform business verification steps, including login validation, access validation based on roles, and execution of Basic Verification Tests (BVT) scenarios.5. Security & Compliance : - Ensure all tokens are securely managed in Google Secret Manager.- Verify that only authorized users can access the application.Role & Responsibility :- Proven experience managing and supporting production applications hosted on GCP.- Strong expertise with Google Kubernetes Engine (GKE) and Kubernetes concepts (pods, deployments, services).- Experience with GCP services such as Cloud Monitoring, Secret Manager, and managed database services (e.g., Cloud SQL for PostgreSQL).- Proficiency with CI/CD tools and practices for automated deployments.- Solid understanding of database concepts, including schema management and migrations.- Experience with enterprise application integrations (e.g., Jira, Confluence, GitHub).- Excellent problem-solving skills and a proactive approach to Strong communication and collaboration skills, with the ability to work effectively with diverse teams.Preferred Qualifications : - Familiarity with AI/ML concepts, especially in the context of Quality Assurance or Quality Engineering.- Experience with large language models (LLMs), Retrieval-Augmented Generation (RAG), and web scraping technologies.- Prior experience in a Quality Engineering or DevOps role supporting testing Knowledge of performance testing and scalability considerations for applications. (ref:hirist.tech)

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