Overview
On Site
DOE
Contract - W2
Skills
Cloud Computing
Reverse Engineering
Amazon S3
Remote Desktop Services
Amazon RDS
Collaboration
Continuous Integration
Continuous Delivery
Java
Amazon Web Services
UI
JSP
AngularJS
Spring Framework
Database
Oracle
PostgreSQL
Data Engineering
Electronic Health Record (EHR)
PySpark
Amazon Redshift
Step-Functions
SQL
Data Manipulation
SAS
DevOps
Jenkins
Bitbucket
Terraform
UCD
User-centered Design
Automated Testing
Market Risk
Modeling
Job Details
Job Summary We are seeking a skilled Java Full Stack Developer with strong experience in AWS, UI development, and data engineering. The ideal candidate will have an engineering mindset, capable of reverse engineering existing code, implementing best practices, and contributing to both development and DevOps processes. This role involves working with modern cloud technologies, serverless architecture, and containerization to build scalable and efficient solutions. Key Responsibilities Analyze and reverse engineer existing codebases to improve performance and maintainability. Develop full-stack applications using Java, Spring, Spring Boot, JSP, and Angular. Work with AWS services including S3, CloudWatch, Lambda, Step Functions, and RDS. Design and implement scalable data engineering solutions using EMR, PySpark, Redshift, and Glue. Develop and maintain containerized applications using ECS with Fargate. Collaborate with business users to understand domain-specific requirements, especially in market risk modeling. Participate in CI/CD processes and contribute to DevOps practices using Jenkins, Bitbucket, Terraform, UCD, or CloudFormation. Write advanced SQL queries for data handling and transformation. Support testing automation and ensure code quality through best practices. Required Qualifications Strong proficiency in Java and full-stack development. Minimum 2 years of hands-on experience with AWS services. Experience with UI technologies including JSP and Angular. Proficiency in Spring, Spring Boot, and working with databases such as Oracle, PostgreSQL, and Aurora. Experience in data engineering tools and frameworks (EMR, PySpark, Redshift, Glue). Familiarity with serverless architecture (Lambda, Step Functions). Experience with containerization using ECS and Fargate. Advanced SQL skills for data manipulation and analysis. Ability to work independently and remotely. Preferred Qualifications Knowledge of SAS. Experience with DevOps tools and practices (Jenkins, Bitbucket, Terraform/UCD/CloudFormation). Exposure to testing automation frameworks. Understanding of market risk domain and modeling implementation. Education: Bachelors Degree
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