Senior Java Software Engineer

Senior Java Software Engineer at Kastech Software Solutions Group Senior Java Software Engineer at Kastech Software Solutions Group in Garrett Park, Maryland Posted in 3 days ago.

Type:

full-time

Job Description:

Role:

Full Stack Java Developer Location:

Rockville, MD ((3 days onsite & 2 days remote)) Must have Generative AI experience!!!

Job Description:

Key Responsibilities

Full Stack Development:

Design, develop, and maintain scalable full-stack applications with Angular frontends and microservices-based backends, ensuring seamless integration and optimal performance

API & Microservices Architecture:

Build and optimize RESTful and GraphQL APIs, design microservices architectures, and implement efficient inter-service communication patterns

Generative AI Integration:

Architect and implement Generative AI solutions including LLM integration, prompt engineering, RAG (Retrieval-Augmented Generation) pipelines, and AI-powered features into production applications

Cloud Infrastructure:

Design and deploy cloud-native solutions on AWS, leveraging serverless architectures, containerization, and managed services for scalability and reliability

Database Design & Optimization:

Implement efficient database schemas, optimize queries, and manage both SQL and NoSQL databases to support application requirements

Technical Leadership:

Provide technical guidance and mentorship to team members, lead code reviews, establish best practices, and drive architectural decisions

AI/ML Model Integration:

Collaborate with data science teams to integrate ML models, implement model serving infrastructure, and ensure responsible AI practices including bias monitoring and explainability

Performance & Quality:

Ensure applications meet performance benchmarks, implement comprehensive testing strategies, and maintain high code quality standards Required Qualifications

• Bachelor's degree in computer science, Software Engineering, or related field (Master's preferred)
• 7+ years of software engineering experience with full-stack development

Frontend Expertise:

3+ years of production experience with Angular (latest versions), TypeScript, RxJS, NgRx/state management, and responsive UI design

Backend Expertise:

Strong proficiency in Java and/or Python for API and microservices development

API Development:

Proven experience designing and implementing RESTful APIs and/or GraphQL services

Cloud & DevOps:

Hands-on experience with AWS services (Lambda, ECS/EKS, API Gateway, S3, RDS, DynamoDB, etc.) and containerization (Docker, Kubernetes)

Database Proficiency:

Experience with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases

Generative AI Experience:

1+ years working with LLMs (OpenAI, Anthropic, AWS Bedrock), prompt engineering, vector databases, and embedding models Preferred Qualifications

• Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks
• Background implementing RAG architectures with vector databases (Pinecone, Weaviate, pgvector, OpenSearch)
• Knowledge of fine-tuning techniques, model evaluation, and AI safety practices
• Experience with real-time data processing and streaming architectures (Kafka, Kinesis)
• Familiarity with event-driven architectures and asynchronous messaging patterns
• Understanding of security and compliance requirements in regulated financial environments
• Experience with microservices patterns (circuit breakers, service mesh, distributed tracing)
• Contributions to open-source projects or technical publications in AI/ML domains Skills & Competencies

Full Stack Mastery:

End-to-end ownership of features from UI to database, with deep understanding of frontend-backend integration patterns

Architectural Thinking:

Ability to design scalable, maintainable architectures that balance business needs, technical constraints, and future growth

AI/ML Integration:

Practical knowledge of integrating Generative AI capabilities into production systems, including handling latency, costs, and reliability challenges

Technical Problem-Solving:

Strong debugging and troubleshooting skills across the full technology stack, including AI model behavior and performance issues

Collaboration & Communication:

Excellent ability to work with cross-functional teams, translate business requirements into technical solutions, and communicate complex concepts clearly

Pseudo-Lead Capabilities:

Self-motivated to drive initiatives, mentor peers, facilitate technical discussions, and influence technical direction without formal management responsibilities

Quality & Testing Focus:

Strong commitment to automated testing (unit, integration, e2e), code quality, and continuous improvement

Learning Agility:

Rapid adoption of new technologies and frameworks, particularly in the fast-evolving AI/ML landscape

Key Technologies:

Frontend:

Angular (16+), TypeScript, RxJS, NgRx, HTML5/CSS3, JavaScript

Backend:

Java (Spring Boot), Python (FastAPI, Flask), Node.js

APIs:

RESTful services, GraphQL (Apollo), gRPC

Generative AI:

AWS Bedrock, OpenAI API, LangChain, vector databases, embedding models, prompt engineering frameworks

Databases:

PostgreSQL, MongoDB, DocumentDB, DynamoDB, Redis, Vector databases (pgvector, OpenSearch)

Cloud Platform:

AWS (Lambda, ECS/EKS, API Gateway, S3, RDS, DynamoDB, Bedrock, SageMaker, CloudWatch)

Microservices & Integration:

Docker, Kubernetes, service mesh, API Gateway, message queues (SQS, SNS, Kafka)

DevOps & CI/CD:

GitLab CI/CD, Jenkins, Terraform, CloudFormation, monitoring and observability tools

Testing:

Jest, Jasmine, Karma, JUnit, PyTest, Selenium, Cypress