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.
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.
Stefanini is a global IT services company with over 24,000 employees across 77 offices in 40 countries across the Americas, Europe, Africa, Australia, and Asia. Since 1987, Stefanini has been providing offshore, onshore and nearshore IT services, including application development and outsourcing services, IT infrastructure outsourcing (help desk support and desktop services), systems integration, consulting and strategic staffing to Fortune 1000 enterprises around the world.
With a base of over 500 active clients, including more than 300 multinationals, Stefanini maintains a strong presence in industries such as financial services, manufacturing, telecommunications, chemical, services, technology, public sector, and utilities. Clients benefit from Stefanini's financial stability, sustained year-over-year growth, and zero net debt. The corporate global headquarters is located in Sao Paulo, Brazil with European headquarters in Brussels and North American headquarters in metropolitan Detroit.