Title : Sr. AWS Developer / Engineer with (especially AWS API gateway Lambda) Terraform Java Springboot Devops
Location: Irvine CA (Hybrid 2-3Days)
Role Overview
We are seeking a skilled AWDS Developer to lead the migration of APIs from Mulesoft to AWS API Gateway. The ideal candidate will have hands-on experience in cloud-native development API management and integration strategies with a strong foundation in AWS services and Mulesoft Anypoint Platform.
Key Responsibilities
- 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 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.