TypeScript Architect Scalable Node.js & DevOps

Job Details
Devops engineer

Type Script Architect Denver,CO Posted:6/2/2026 Job Description Job #:

63934

Devops engineer

Full Time

12 months

1

1

Type Script 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 Type Script/Node.js, Dynamo

DB, Kafka, and advanced caching and performance optimization strategies.

· Architect scalable backend systems using Type Script/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 Dynamo

DB 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 Dev Ops to ensure CI/CD pipelines, IaC (Cloud Formation/Terraform), and autoscaling policies support architectural goals.

· Mentor engineering teams on Type Script 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 Type Script & Node.js, including async/await, streams, and worker threads.

· Kafka architecture & tuning: partitioning, consumer groups, rebalancing, offset management, and schema evolution.

· AWS Dynamo

DB: 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 Graph

QL, including schema federation and gateway design.

· Monitoring tools:
Datadog, Prometheus, Cloud Watch, or Splunk.

· Dev Ops awareness: CI/CD (Git Hub Actions, Jenkins), container orchestration (EKS/Kubernetes), and IaC tools.

$ 60.00 - $ 62.00