Sr Batch Developer

job summary: We are looking for a Senior Batch Developer to maintain, optimize, and modernize high-throughput, complex Node.js and TypeScript batch applications. In this role, you will support existing batch workloads while leading architectural modernization efforts across our AWS cloud infrastructure.

location: Charlotte, North Carolina job type: Solutions salary: $51.78 - 56.78 per hour work hours: 8am to 5pm education: Bachelors

responsibilities:

• 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.

qualifications: Required Qualifications

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).

skills: AWS CDK,Fargate,AWS Glue,AWS Lambda,S3,SQS,AWS cloud infrastructure,AWS Cloud,AWS,large datasets,CloudFormation,CloudWatch,refactoring,CI/CD,data integrity,logging,data processing,data manipulation,Databases,deployment pipelines,distributed processing,ETL workflows,IAM,JavaScript,container orchestration,NoSQL,Node.js,SQL,serverless,EventBridge,debug,Step Functions,high availability,Terraform,TypeScript,Troubleshoot,Reliability,Architecture,automated,schedules,error handling

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

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• 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.

AWS CDK,Fargate,AWS Glue,AWS Lambda,S3,SQS,AWS cloud infrastructure,AWS Cloud,AWS,large datasets,CloudFormation,CloudWatch,refactoring,CI/CD,data integrity,logging,data processing,data manipulation,Databases,deployment pipelines,distributed processing,ETL workflows,IAM,JavaScript,container orchestration,NoSQL,Node.js,SQL,serverless,EventBridge,debug,Step Functions,high availability,Terraform,TypeScript,Troubleshoot,Reliability,Architecture,automated,schedules,error handling