Role & responsibilities

We are seeking a seasoned Senior Platform Engineer with deep expertise in Google Cloud Platform (GCP) to design, scale, and maintain our core infrastructure. In this role, you will bridge the gap between cutting-edge cloud architecture, robust operational reporting, automated delivery pipelines, and team leadership.

As a senior member of the team, you will not only write infrastructure as code (IaC) but also own the CI/CD ecosystem, mentor engineers, establish operational metrics, and ensure our platforms are secure, highly available, and cost-optimized.

Key Responsibilities:

1. GCP Infrastructure & Architecture
- Design, build, and maintain scalable, secure, and resilient infrastructure on Google Cloud Platform (GCP).
- Implement and manage production-grade Kubernetes clusters using GKE (Google Kubernetes Engine).
- Define and manage infrastructure using Infrastructure as Code (IaC), primarily utilizing Terraform.

2. Continuous Integration & Continuous Delivery (CI/CD)
- Own, optimize, and scale the companys CI/CD pipelines to ensure rapid, secure,



and reliable application deployments.
- Standardize deployment workflows using modern delivery patterns (e.g., GitOps, Canary deployments, Blue/Green deployments).
- Integrate automated security scanning (SAST/DAST), vulnerability assessments, and compliance checks directly into the build and release pipelines.
- Ensure secret management and environment variables are securely handled across all delivery stages.

3. Operational Reporting & Observability
- Architect and maintain comprehensive monitoring, logging, and alerting systems using GCP Operations Suite, Prometheus, Grafana, or Datadog.
- Develop operational dashboards and generate regular reports on deployment frequency, lead time for changes, change failure rates, and system uptime (DORA metrics).
- Lead FinOps initiatives by tracking, analyzing, and reporting on GCP cloud spend, driving cost-optimization strategies across teams.

4. Te

📌 Associate Senior Platform Engineer (Mumbai)
🏢 Quantiphi Analytics Solutions
📍 Mumbai