Demo

TypeScript Architect

MethodHub
Denver, CO Contractor
POSTED ON 6/24/2026
AVAILABLE BEFORE 7/24/2026

TypeScript Architect

Location: Denver CO-Onsite

Duration: 12 months

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.

Salary : $75

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