Backend Developer
1 week ago
About the Role
We are looking for a highly skilled Backend Developer with strong expertise in and deep hands-on experience with Google Cloud Platform (GCP). The ideal candidate will be responsible for architecting, building, and optimizing backend services that are secure, scalable, and cloud-native. You will play a key role in designing microservices, managing cloud infrastructure, and ensuring smooth deployment and monitoring of applications.
Key Responsibilities
● Design, develop, and maintain microservices and APIs using
● Architect, deploy, and manage applications using core GCP services:
○ Compute & Serverless: Cloud Run, App Engine, Cloud Functions
○ Storage & Databases: Cloud SQL, Firestore/Datastore, BigQuery, Cloud Storage
○ Messaging & Streaming: Pub/Sub, Dataflow (basic knowledge)
○ Networking & Security: VPC, Load Balancers, IAM, Secret Manager
○ CI/CD & DevOps: Cloud Build, Artifact Registry, Cloud Monitoring/Logging
● Implement secure authentication & authorization (IAM, OAuth2, Firebase Auth, service accounts).
● Optimize performance, scalability, and cost efficiency of backend services.
● Build resilient, fault-tolerant systems with monitoring, logging, and alerting.
● Work closely with frontend engineers, DevOps, and product teams to deliver end-to-end features.
Required Skills & Qualifications
● 4–6 years of backend development experience.
● Strong expertise in ,
● Proven hands-on experience with Google Cloud Platform (must-have, not just exposure).
● Proficiency in Cloud-native architectures, containerization (Docker), and orchestration (Kubernetes/GKE).
● Strong knowledge of SQL/NoSQL databases (PostgreSQL, Firestore, BigQuery).
● Experience in designing secure APIs with OAuth2/JWT.
● Familiarity with event-driven systems and Pub/Sub messaging.
● Hands-on with CI/CD pipelines (Cloud Build, GitHub Actions, or Jenkins).
● Strong debugging, monitoring, and performance optimization skills.
Nice to Have
● Experience with Infrastructure as Code (Terraform, Deployment Manager).
● Knowledge of GraphQL.
● Exposure to multi-cloud/hybrid environments.
● Experience with machine learning integrations on GCP (Vertex AI, AI APIs).
Education
● Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Job Type: Contractual / Temporary
Contract length: 6 months
Pay: ₹100, ₹150,000.00 per month
Work Location: Remote
Speak with the employer
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