Live opening · Posted 6 days ago

Lead / Senior GCP Cloud Engineer

Quantum Integrators · Pune City, Maharashtra, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 6 days ago
CompanyQuantum Integrators
LocationPune City, Maharashtra, India (On-site)
Work modeNo
SourceLinkedin
Listed6 days ago

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About the role

Description supplied by the original job listing.

Company Profile: Quantum Integrators is an international strategy and business consulting group whose mission is to help clients create and sustain competitive advantage. As a truly client-focused firm, our highly trained and experienced consultants consider it their mandate to help client organizations achieve a 'quantum state.
Position : Lead / Senior GCP Cloud Engineer
Location: Pune/Nagpur, Maharashtra (Onsite, 5 days a week)
Duration: Full time
Shift: UK/US EST Shift (04.00 PM - 01.00 AM IST/ 06:30 PM - 03:30 AM IST)
Experience: 8-10 years mandatory
Job Description:
We are seeking a Lead / Senior GCP Cloud Engineer with 8+ years of experience in designing, deploying, and supporting cloud-native solutions on Google Cloud Platform (GCP). The ideal candidate should have strong hands-on expertise in Vertex AI, Big Query, Cloud Storage, Cloud Run, Composer, Pub/Sub, Kubernetes, Terraform, and CI/CD automation.
Key Responsibilities:
Design, implement, and support scalable cloud-native applications and platforms on GCP.
Build and manage data and AI/ML solutions using Vertex AI, Big Query, Cloud Storage, and Cloud Composer.
Develop Infrastructure as Code (IaC) using Terraform and automate deployments through CI/CD pipelines.
Deploy and manage containerized workloads using Docker, Kubernetes, and Cloud Run.
Monitor, troubleshoot, and optimize cloud infrastructure for performance, reliability, security, and cost efficiency.
Implement observability, logging, monitoring, and alerting solutions.
Support GenAI, AI/ML, and automation initiatives leveraging Vertex AI and Gemini.
Collaborate with cross-functional teams to deliver secure and scalable cloud solutions.
Ensure adherence to cloud security, governance, and operational best practices.
Required Skills & Experience:
Google Cloud Platform (GCP)
Vertex AI, Big Query, Cloud Storage, Composer, Pub/Sub
Cloud Run, Compute Engine, Cloud Functions
Kubernetes (GKE), Docker
Terraform and Infrastructure as Code (IaC)
Python scripting and automation
Linux Administration (RHEL/CentOS)
GitHub Actions, CI/CD pipelines
Monitoring and Observability tools
Preferred Certifications:
Google Cloud Professional Cloud Architect
Google Cloud Professional Data Engineer
Google Cloud Associate Cloud Engineer
Kubernetes and Cloud Native Associate (KCNA) or equivalent

Work arrangement
No

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