TypeScript Architect with a strong background in event-driven microservices, real-time data pipelines (Kafka), and cloud-native application design. The ideal candidate will drive the technical architecture for scalable backend systems leveraging TypeScript/Node.js, DynamoDB, Kafka, and advanced caching and performance optimization strategies. • Architect scalable backend systems using TypeScript/Node.js and event-driven patterns (Kafka, SNS/SQS, or equivalent). • Design and implement streaming and asynchronous processing pipelines for large-scale workloads. • Define and enforce data modeling and partitioning strategies for DynamoDB to handle high-write workloads efficiently. • Establish and optimize caching layers (Redis, Elasticache, DAX, or in-memory caching) for high-performance APIs. • Perform profiling and performance tuning across the stack (CPU, memory, network, database, I/O). • Define API contracts, message schemas (Avro/JSON), and versioning standards for inter-service communication. • Implement observability practices-metrics, tracing, and structured logging-to proactively monitor performance bottlenecks. • Collaborate with DevOps to ensure CI/CD pipelines, IaC (CloudFormation/Terraform), and autoscaling policies support architectural goals. • Mentor engineering teams on TypeScript best practices, async programming, and microservice resilience patterns(circuit breaker, retry, backoff, etc.). • Partner with stakeholders to evolve system architecture in alignment with business growth and product roadmaps. Job Requirements Details: Required Skills • Strong expertise in TypeScript & Node.js, including async/await, streams, and worker threads. • Kafka architecture & tuning: partitioning, consumer groups, rebalancing, offset management, and schema evolution. • AWS DynamoDB: data modeling, secondary indexes, TTL, streams, DAX, and best practices for large-scale design. • Caching frameworks: Redis, Memcached, DAX, or CDN edge caching. • Performance tuning & scalability: CPU profiling, async I/O optimization, connection pooling, and load testing. • API design: REST and GraphQL, including schema federation and gateway design. • Monitoring tools: Datadog, Prometheus, CloudWatch, or Splunk. • DevOps awareness: CI/CD (GitHub Actions, Jenkins), container orchestration (EKS/Kubernetes), and IaC tools. #LI-AH1 #LI-HYBRID Pay Range: $ 60.00 - $ 62.00