Typescript Backend Architect

This role is offered by Net2Source (N2S). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range $70.00/hr - $70.00/hr

Duration:

Contract to Hire

Location:

Denver CO (Hybrid) - Remote is acceptable if candidate is ready to come onsite 2 days every month.

Rate:

$70/hr on W2 All inclusive.

Job Description Seeking a

TypeScript Architect

to join a small, agile engineering team and lead architectural decisions for high-scale backend systems.

Key Responsibilities

Architect scalable backend systems using

TypeScript/Node.js

and

event-driven microservice patterns

( Kafka ,

SNS/SQS , etc.).

Design and implement

streaming

and

asynchronous processing pipelines

for large-scale workloads.

Define and enforce

DynamoDB data modeling , partitioning, and indexing strategies for high-write use cases.

Establish and optimize

caching layers

( Redis ,

Elasticache ,

DAX , in-memory caching) for high-performance APIs.

Perform full-stack

profiling and performance tuning

(CPU, memory, network, DB, I/O).

Define

API contracts , message schemas ( Avro/JSON ), and versioning standards for inter-service communication.

Implement strong

observability —metrics, tracing, structured logging—for performance monitoring.

Collaborate with DevOps on

CI/CD pipelines ,

IaC

( CloudFormation/Terraform ), containerization, and autoscaling.

Mentor engineering teams on

TypeScript best practices , async programming, and microservice resilience (circuit breaker, retry, backoff).

Partner with stakeholders to evolve architecture aligned with business growth and product roadmap.

What You’ll Bring

Strong expertise in

TypeScript

&

Node.js , including

async/await , streams, worker threads.

Deep knowledge of

Kafka architecture & tuning

(partitioning, consumer groups, rebalancing, offsets, schema evolution).

Strong experience with

AWS DynamoDB : data modeling, GSIs/LSIs, TTL, streams, DAX, large-scale strategy.

Expertise with

caching frameworks : Redis, Memcached, DAX, CDN/edge caching.

Strong skills in

performance tuning & scalability : CPU profiling, async I/O optimization, load testing, connection pooling.

Experience designing

REST

and

GraphQL APIs , including schema federation and gateway patterns.

Hands-on experience with monitoring tools like

Datadog ,

Prometheus ,

CloudWatch ,

Splunk .

DevOps awareness:

CI/CD

(GitHub Actions, Jenkins),

EKS/Kubernetes ,

Infrastructure-as-Code .

Seniority Level Mid‑Senior level

Employment Type Contract

Job Function Consulting

Industries IT Services and IT Consulting

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