Software Developer
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Responsibilities
- High-Performance Node.js Backend Engineering
- Asynchronous Architecture: Design and implement non-blocking, event-driven services using Promises and async/await to ensure high concurrency and prevent event loop blocking.
- Performance & Efficiency: Optimize for low latency by utilizing the Cluster module for multi-core processing and employing lazy loading of dependencies to minimize serverless cold starts (e.g., in Cloud Run).
- Security Implementation: Secure APIs against threats like SQL injection and XSS through strict input validation (e.g., express-validator ) and implement rate limiting to mitigate DoS attacks.
- Data Transfer Optimization: Configure middleware for Gzip/Brotli compression of HTTP responses to significantly reduce payload size and improve transfer speed.
- API Governance and Management (Apigee)
- API Proxy Design: Develop Apigee ProxyEndpoints and TargetEndpoints to decouple frontend client applications from underlying backend service implementations.
- Automated API Lifecycle: Integrate API proxy deployment, unit testing, and integration testing directly into the Continuous Integration/Continuous Deployment (CI/CD) pipeline.
- Traffic Control & Security: Implement advanced traffic management policies ( SpikeArrest , Quotas ) and enforce robust security protocols ( OAuth 2.0 , JWT , SAML ) for authorization and authentication.
- Analytics & Monetization: Configure API Product bundles for potential monetization models and generate custom reports to monitor key metrics like traffic patterns, latency percentiles, and error rates.
- Cloud-Native Architecture (GKE & Cloud Run)
- Resource Autoscaling: Strategically configure Horizontal Pod Autoscalers (HPA) for CPU-based scaling and Vertical Pod Autoscalers (VPA) for resource recommendation, ensuring configuration compatibility.
- Cost Optimization: Leverage Spot VMs for fault-tolerant, stateless services and batch workloads to achieve up to 90% savings on compute costs.
- Container Security: Prioritize building minimal, secure container images and maintain deterministic builds to enhance security posture and prevent vulnerability injection.
- Event-Driven Architecture (Pub/Sub)
- System Resilience: Drive the adoption of asynchronous Pub/Sub messaging to replace synchronous service-to-service communication, thereby increasing overall system resilience.
- Message Reliability: Implement dead-letter topics to quarantine and facilitate debugging of unprocessable messages, and use exactly-once delivery where financial or state integrity is critical.
- Real-Time Processing: Design and build data pipelines that consume events from Pub/Sub and process them in real-time using Dataflow for analytics stored in BigQuery.
- DevOps & Infrastructure as Code (Terraform)
- Modular IaC: Provision all necessary GCP resources (e.g., Pub/Sub subscriptions, GKE clusters, Apigee organizations) using reusable Terraform modules, managing state securely via remote GCS backends for collaborative development.
- GitOps CI/CD: Implement Cloud Build pipelines triggered by Git commits, integrating static analysis, vulnerability scanning ( Container Analysis ), and binary authorization checks before deployment.
- Credential Security: Eliminate hardcoded secrets by integrating Secret Manager into both Terraform provisioning and application runtime environments.
- Required Technical Expertise
- Core Language: Expert proficiency in Node.js , with a deep, practical understanding of the event loop, streams, and memory management.
- API Platform: Extensive hands-on experience with Google Cloud Apigee , covering policy configuration, complex fault handling, and developer portal administration.
- Database & State Management (Stateless Focus):
- Proven ability to architect stateless applications , offloading session/state data to external, dedicated stores.
- Proficiency in using Memorystore (Redis) for high-speed, ephemeral caching and session storage.
- Experience with Firestore or Cloud SQL for durable, transactional data and user preferences, including the use of connection pooling.
- DevOps Tooling: Mastery of Cloud Build , Terraform , and Artifact Registry .
- Testing: Expertise in black-box API testing, comprehensive unit testing and load testing methodologies.
Requirements
- Certification: Google Professional Cloud Developer or Professional Cloud Architect cert
Benefits
Additional Information
Job Description We seek an exceptional developer who goes beyond coding to manage and orchestrate a full "Build+Run" ecosystem. You will be a key driver in transforming our architecture from monolithic applications to a resilient, distributed, event-driven system on Google Cloud Platform (GCP). This role demands expertise in Apigee for robust API governance, Node.js for high-performance backend services, and Pub/Sub for asynchronous service decoupling. Success will be measured by continuous optimization of infrastructure for cost and performance using GKE/Cloud Run and automated delivery via Cloud Build and Terraform .
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Company Intel
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