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Senior Platform Engineer

Taggd

5 - 10 years

Mumbai

Posted: 24/05/2026

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Job Description

Senior Platform Engineer (GCP)

Basic Details

  • Experience: 3 to 6 Years
  • Locations: Mumbai | Bangalore | Trivandrum


A fast-growing AI & cloud analytics company building GCP-native data and ML platforms for global enterprise clients. Strong GCP partnership with active delivery across compute, Kubernetes, and serverless infrastructure.


Role Overview

We are hiring Senior Platform Engineers with strong GCP infrastructure experience to build, automate, and maintain cloud infrastructure for data and ML platforms. You will own IaC, Kubernetes workloads, and CI/CD pipelines for production environments.

Key Responsibilities

Design, provision, and manage GCP infrastructure: GKE (Kubernetes), Cloud Run, Compute Engine, Cloud Storage

Write and maintain Terraform code for infrastructure-as-code across dev, staging, and production environments

Build and manage CI/CD pipelines for platform and application deployments

Write automation scripts in Python and/or Bash for operational tasks and infra management

Manage GCP IAM, networking (VPC, firewall, load balancers), and cost governance

Support cloud migrations from on-premises or other clouds (AWS/Azure) to GCP

Collaborate with data and ML teams to ensure platform SLAs, reliability, and scalability

Required Skills

46 years in platform engineering, DevOps, or cloud infrastructure roles

Hands-on GCP expertise: GKE, Cloud Run, Compute Engine, Cloud Storage, VPC

Strong Terraform skills writing modules, managing state, and multi-environment deployments

Proficiency in Kubernetes (deployments, services, ingress, Helm, namespace management)

Scripting skills in Python and/or Bash for automation

Experience with CI/CD tools: Cloud Build, GitHub Actions, Jenkins, or ArgoCD

Good to Have

Experience with cloud migrations: on-prem to GCP, or AWS/Azure to GCP

Familiarity with monitoring and observability tools: Grafana, Prometheus, Cloud Monitoring

Exposure to Generative AI or MLOps infrastructure (Vertex AI, model serving)

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