Typescript/Node/AWS Developer

Innovative IT Solutions Inc

Malvern, PA, United States

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

JavaScript (Programming Language) Amazon Web Services Amazon S3 Big Data Databases Continuous Integration Data Integrity Extract Transform Load (ETL) Software Debugging Distributed Computing Environment Identity and Access Management Node.Js

+20 more

NoSQL SQL Databases TypeScript AWS Cdk Data Logging Data Processing System Availability Delivery Pipeline State Machines AWS Lambda Cloudformation Servicebus Kubernetes AWS Glue AWS Fargate Cloudwatch Amazon Simple Queue Service (SQS) Terraform Code Restructuring Serverless Computing

Job description

Maintain & Support: Troubleshoot, debug, and optimize existing, complex Node.js batch jobs to ensure high availability, data integrity, and performance.
Batch Modernization: Drive legacy batch modernization initiatives, transitioning monolithic or legacy routines into scalable, event-driven cloud architectures.
AWS Cloud Integration: Build, orchestrate, and maintain batch pipelines leveraging AWS Lambda, Step Functions, SQS/SNS, S3, and containerized task runners.
Reliability & Performance: Implement robust retry mechanisms, error handling, logging, and memory/compute efficiency for heavy data processing jobs.
CI/CD & Observability: Enhance deployment pipelines and setup monitoring/alerting for automated batch schedules.

Requirements

TypeScript & Node.js: Deep expertise in core JavaScript/TypeScript runtime dynamics, asynchronous processing, and streaming large datasets.
Batch Architecture: Proven track record with batch patterns (e.g., ETL workflows, fan-out processing, idempotency, chunking, and distributed processing).
AWS Proficiency: Extensive hands-on experience with AWS serverless and compute services, specifically Lambda, EventBridge, CloudWatch, IAM, SQS/SNS, and S3.
Batch Modernization: Direct experience refactoring complex or legacy batch systems into modern cloud-native architectures.
Databases: Robust SQL and NoSQL querying skills optimized for bulk data manipulation.

Nice-to-Have

Experience with AWS Batch, AWS Glue, or container orchestration (ECS / Fargate).
Knowledge of Infrastructure as Code (Terraform, AWS CDK, or CloudFormation).