TypeScript Architect

Stefanini Group is looking for TypeScript Architect for a globally recognized company! For interested applicants, click the apply button or you may reach out to Alfher Hidalgo at / for faster processing. Thank you!

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.

#LI-AH1#LI-HYBRID