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Salary
≈ $18k – $39k per year (Estimated)
Location
In office (Bengaluru)
Experience
6+ years exp

First seen by Alion on Sep 30, 2026.

Overview
Company
Impact
Profile match
GyanSys is a global systems integrator headquartered in Indianapolis, Indiana, that implements SAP, Salesforce, Microsoft and ServiceNow platforms along with data, analytics and AI solutions for sales, finance, supply chain, manufacturing and HR processes. Founded in 2005 with a focus on SAP services, it has more than 3,000 employees in 12 countries serving about 160 active customers in manufacturing, automotive, high-tech, consumer goods and life sciences, with large delivery teams in Bengaluru. It hires SAP functional and technical consultants and architects, AI and ML engineers, data scientists and architects, .NET developers and project managers.

Role : GCP Cloud Engineer

Experience : 6+ Years

Location : Bengaluru

Employment Type : Full-time

Role Overview :

We are looking for an experienced GCP Cloud Engineer with strong hands-on expertise in Google Cloud Platform, cloud-native application development and application modernisation. The ideal candidate should have experience designing, deploying and managing scalable cloud solutions on GCP, along with exposure to Azure - to - GCP migration, DevOps, Kubernetes and cloud security.

Key Responsibilities :

- Design, develop and deploy cloud-native applications and services on GCP.

- Work extensively with GCP services including Cloud Run, Cloud Functions, Cloud SQL, GCS, Secret Manager, API Gateway and BigQuery.

- Build and manage event-driven solutions using Pub/Sub, Eventarc, Cloud Scheduler and Cloud Workflows.

- Develop and integrate REST APIs and microservices using cloud-native architectures.

- Support application modernisation initiatives and migration of workloads from Azure to GCP.

- Containerise applications using Docker and deploy/manage workloads on Google Kubernetes Engine (GKE).

- Implement and maintain CI/CD pipelines using Cloud Build and Cloud Deploy.

- Implement Infrastructure as Code using Terraform.

- Configure and manage GCP IAM, Service Accounts and access controls.

- Implement secure authentication and authorisation using OAuth2, OIDC and SSO.

- Work with development and architecture teams to design scalable, reliable and secure cloud solutions.

- Implement monitoring, logging and observability across GCP workloads.

- Support troubleshooting, performance optimisation and resolution of cloud infrastructure and application issues.

- Evaluate and implement appropriate GCP services based on application and business requirements.

- Collaborate with stakeholders, architects and engineering teams throughout application modernisation and migration projects.

- Explore Vertex AI and Vertex AI Search for AI-enabled cloud solutions where applicable.

Required Skills :

- 6+ years of hands-on experience with Google Cloud Platform (GCP).

- Strong experience with :

1. Cloud Run

2. Cloud Functions

3. Cloud SQL

4. Google Cloud Storage (GCS)

5. Secret Manager

6. API Gateway

7. BigQuery

8. Cloud Build

9. Cloud Deploy

- Strong understanding of cloud-native application architecture.

- Hands-on experience with microservices and REST APIs.

- Experience with event-driven architecture using Pub/Sub, Eventarc, Cloud Scheduler and Cloud Workflows.

- Strong hands-on experience with Docker and Kubernetes/GKE.

- Experience with Terraform and Infrastructure as Code (IaC).

- Strong knowledge of GCP IAM, Service Accounts and cloud security.

- Understanding of OAuth2, OIDC and SSO.

- Experience with CI/CD and DevOps practices.

- Experience with cloud monitoring, logging and observability.

Application Modernisation & Migration :

- Experience modernising legacy applications for GCP cloud-native environments.

- Hands-on exposure to Azure - to - GCP migration projects.

- Ability to assess existing application architecture and identify suitable GCP services.

- Experience migrating applications, APIs, databases and supporting services to GCP.

- Understanding of migration considerations around security, networking, scalability and performance.

AI / Advanced GCP Capabilities :

- Exposure to Vertex AI and Vertex AI Search.

- Understanding of integrating AI capabilities into cloud-native applications.

- Experience with AI-enabled or GenAI solutions on GCP is an added advantage.

Good to Have :

- Experience with GCP networking concepts such as VPC, load balancing and private connectivity.

- Google Cloud certifications such as Professional Cloud Architect / Professional Cloud Developer / Professional Cloud DevOps Engineer.

- Experience with automated infrastructure provisioning and deployment.

- Knowledge of cloud cost optimisation and reliability best practices.

- Experience working in enterprise-scale cloud transformation programmes.

Key Competencies :

- Google Cloud Platform

- Cloud-Native Application Development

- Application Modernisation

- Azure - to - GCP Migration

- Kubernetes / GKE

- Docker

- Terraform / IaC

- CI/CD & DevOps

- Microservices & REST APIs

- Event-Driven Architecture

- Cloud Security & IAM

- Monitoring & Observability

- Vertex AI

Skills

Google Cloud Platform, Kubernetes, Docker, Terraform, BigQuery, Cloud Services, API Gateway, Google Kubernetes Engine, CI/CD Pipeline, Cloud Apps, Monitoring Tools

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