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.NET / C# Developer Google Cloud Platform (GCP)

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Hybrid

.NET / C# Developer Google Cloud Platform (GCP)

EY

.NET / C# Developer Google Cloud Platform (GCP)

Skills

Google Cloud PlatformSQL QueriesDockerReactC#.NETMicroservicesAIGitHubKubernetesTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

12 August 2026

What they need


Please share your resume along with the below details only if the JD is relevant to you.

Total Experience:

Relevant Experience:
Current Organization:
Education:
Current Location:
Preferred Location:
Current CTC:
Expected CTC:
Notice Period:

We are looking for Immediate to 15 days Notice Period Candidates.

Location: Bangalore

.NET / C# Developer Google Cloud Platform (GCP)

Experience: 79 Years (Mid to Senior Level)

Responsibilities

  1. Design and develop scalable web applications and APIs using ASP.NET Core 6/8 and C#.
  2. Develop and maintain RESTful APIs and microservices architecture.
  3. Build, deploy, and support cloud-native applications on Google Cloud Platform (GCP).
  4. Implement unit testing frameworks such as xUnit for backend code and Jest for frontend code to ensure high-quality software.
  5. Collaborate with product owners, architects, and cross-functional teams to define, design, and deliver new features.
  6. Optimize application performance, reliability, scalability, and security.
  7. Troubleshoot production issues, identify bottlenecks, and implement sustainable fixes.
  8. Support CI/CD automation and DevOps practices for application deployments.
  9. Contribute to cloud modernization, platform enhancement, and application transformation initiatives.
  10. Maintain code quality, documentation, and engineering best practices.

Required Skills

  1. Strong proficiency in ASP.NET Core 6/8, C#, .NET Framework, and Angular (or React).
  2. Strong experience in designing and implementing RESTful APIs and microservices.
  3. Expertise in SQL Server and database design, development, and performance optimization.
  4. Hands-on experience with Google Cloud Platform (GCP) services including:
  • Cloud Run
  • Cloud Functions
  • Cloud SQL
  • Cloud Storage (GCS)
  • Secret Manager
  • Cloud Build
  • Cloud Deploy
  • Cloud Logging & Monitoring
  • Cloud Workflows
  • API Gateway
  • BigQuery
  • Vertex AI / Vertex AI Search
  • Artifact Registry
  1. Good understanding of Azure-to-GCP service mapping and cloud-native equivalents (e.g., Azure App Services Cloud Run, Azure Functions Cloud Functions, Azure SQL Cloud SQL, Azure Storage GCS).
  2. Experience with event-driven architectures and asynchronous processing using services such as Pub/Sub, Eventarc, Cloud Scheduler, and cloud-based messaging patterns.
  3. Strong understanding of authentication and authorization mechanisms including OAuth2, OpenID Connect (OIDC), IAM, Service Accounts, enterprise SSO integration, identity federation concepts, and identity migration considerations.
  4. Hands-on experience with containerization technologies such as Docker and Kubernetes (GKE preferred).
  5. Experience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, Cloud Build, or equivalent tools.
  6. Strong understanding of cloud security, secrets management, monitoring, and observability practices.
  7. Good understanding of Agile development methodologies and DevOps practices.
  8. Proactive attitude to identify and solve problems, drive innovation, and continuously improve solutions.
  9. Strong communication, stakeholder management, and collaboration skills.
  10. Quick learner with the ability to adapt to evolving cloud technologies.

Preferred Skills (Good to Have)

  • Exposure to Azure-to-GCP migration projects, including application modernization and cloud transformation initiatives.
  • Familiarity with GCP data orchestration and integration services such as Cloud Composer, Dataflow or Data Fusion.
  • Experience with Infrastructure as Code (Terraform preferred).
  • Exposure to Vertex AI, search/indexing technologies, or AI-enabled solutions.

Soft Skills

  • Strong analytical and problem-solving mindset.
  • Ability to work independently and within distributed teams.
  • Excellent communication and stakeholder interaction skills.
  • Ownership mindset with a focus on quality and delivery.

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