Full Stack Software Engineer (TypeScript/Java/AI)
Summary
Contract role (via Eliassen Group) for a full stack engineer building enterprise applications that support a client's regulatory operations, hybrid 3 days onsite in Rockville, MD. Core stack: Java/Spring Boot microservices, React/Angular/TypeScript frontend, AWS cloud, automated testing, and Generative AI-augmented development. Pays $60-70/hr W2.
- Design, develop, and maintain robust full-stack applications supporting regulatory operations.
- Preemptively identify and resolve technical risks and cross-team dependencies.
- Solve complex business problems and simplify code and infrastructure for maintainability and cost efficiency.
- Apply Generative AI tools throughout the SDLC to improve productivity, code quality, and delivery speed.
- Build and enforce automated testing strategies for reliability, performance, and scalability.
- Collaborate with product, data, and compliance stakeholders to deliver impactful solutions.
- Lead and participate in code reviews, uphold coding standards, and mentor peers.
- Continuously optimize application performance, scalability, and maintainability.
- Contribute to CI/CD pipeline improvements and DevOps best practices.
- Minimum of 5 years of full stack development experience with a track record of delivering production-grade software.
- Expert-level Java with Spring and Spring Boot, with microservices and RESTful API design at enterprise scale.
- Database design and query optimization across relational and non-relational systems such as PostgreSQL, SQL, MongoDB, and Spark SQL.
- Proficiency in Python for scripting, automation, and data processing.
- Frontend expertise with React, Angular, JavaScript, and TypeScript using component-driven architecture and modern best practices.
- Automated testing experience with tools such as JUnit, Selenium, Cypress, or Playwright, including regression and performance testing, and commitment to TDD.
- Hands-on AWS experience with services including EC2, ECS, Fargate, S3, RDS, Lambda, and EMR.
- CI/CD, Docker, and infrastructure as code using Terraform or CloudFormation.
- Demonstrated use of Generative AI tools such as Kiro or GitHub Copilot to enhance SDLC workflows, with familiarity in AI/ML concepts and integrations.
- Nice to have: AWS certifications, GitLab CI/CD experience, and GenAI certifications.
Skills
- AI
- Angular
- API
- Api Design
- Automation
- AWS
- CI/CD
- Cloud
- CloudFormation
- Cypress
- DevOps
- Docker
- EC2
- ECS
- Fargate
- Generative AI
- GitHub
- Github Copilot
- GitLab
- Infrastructure as Code
- Java
- JavaScript
- JUnit
- Lambda
- Machine Learning
- Microservices
- MongoDB
- Playwright
- PostgreSQL
- Python
- RDS
- React
- REST
- S3
- SDLC
- Selenium
- Spark
- Spring
- SQL
- TDD
- Terraform
- Test Automation
- TypeScript