TypeScript Architect NodeJS Architect
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Job Location:
Denver, CO - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title: TypeScript Architect/ NodeJS. Architect
Location: Denver CO to be onsite 5 days a week
Duration: 3 Months Extendable
Location: Denver CO to be onsite 5 days a week
Duration: 3 Months Extendable
Job Description:
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/ DynamoDB Kafka and advanced caching and performance optimization strategies.
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/ DynamoDB Kafka and advanced caching and performance optimization strategies.
Architect scalable backend systems using TypeScript/ 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 & 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.
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 & 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.
Keywords: Typescript Microservices DynamoDB AWS API CI/CD Kafka
Key Skills
- APIs
- Pegasystems
- Spring
- SOAP
- .NET
- Hybris
- Solution Architecture
- Service-Oriented Architecture
- Adobe Experience Manager
- J2EE
- Java
- Oracle
