AWS Tech Lead / Java Tech Lead

Overview

On Site
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - Contract

Skills

AMAZON WEB SERVICES
API Gateway
Serverless Computing
Amazon Elastic Compute Cloud
Amazon Relational Database Service
Amazon S3
Functional Programming

Job Details

Job Title: AWS Tech Lead / Java Tech Lead
Job Location: Irvine, CA
Job Type: Contract

Job Description:

  • API Migration & Development

  • Analyze existing Mulesoft APIs and design equivalent solutions using AWS API Gateway, Lambda, and other AWS-native services.

  • Develop and maintain scalable, secure, and reusable APIs using AWS and microservices architecture.

  • Implement API-first strategies and adopt design-first approaches for new integrations

  • Integration & Architecture

  • Collaborate with cross-functional teams to define integration patterns and architecture for cloud migration.

  • Translate legacy integration logic (e.g., webMethods, BizTalk) into AWS-native services

  • Support hybrid integration scenarios involving on-premise and cloud systems.

  • DevOps & CI/CD

  • Set up CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy.

  • Manage infrastructure using Terraform or AWS CloudFormation.

  • Monitor and optimize application performance using AWS CloudWatch

Documentation & Support

  • Create technical documentation for design, implementation, and migration strategies.

  • Provide post-migration support and troubleshooting.

Required Skills

  • 5+ years of experience in full-stack or integration development.

  • Strong expertise in AWS services: Lambda, API Gateway, EC2, S3, RDS, CloudFormation.

  • Proficiency in Mulesoft Anypoint Platform, including DataWeave and MUnit testing

  • Experience with Java, Node.js, React/Angular, and PostgreSQL.

  • Familiarity with Docker, Kubernetes, and event-driven architecture (Kafka, Airflow).

  • Knowledge of AWS migration frameworks and best practices

Preferred Qualifications

  • AWS and Mulesoft certifications.

  • Experience in legacy modernization and cloud transformation projects.

  • Exposure to tools like Glue, Aurora Serverless, and PySpark for data migration.

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