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Google Cloud Platform Engineer

Sureminds Solutions Pvt. Ltd.Bangalore

28 days ago

Job description

Role - GCP Engineer

Experience - 6 to 15 years

Notice Period- 0- 30days

Location - Bangalore (WFO)

Direct Payroll - Tech Mahindra

Job 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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Google Cloud Platform • Bangalore

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