Full stack java Developer

Software Guidance & Assistance, Inc
Rockville, MD, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Amazon S3 Automation of Tests Cloud Computing Cloud Engineering Software Quality Code Review Databases Continuous Integration Amazon DynamoDB
+37 more
Python (Programming Language) PostgreSQL Machine Learning Microsoft Message Queuing MongoDB NoSQL Open Web Application Security Software Deployment Software Engineering Systems Integration TypeScript Datadog RxJS Retrieval-Augmented Generation Large Language Models Grafana Prompt Engineering Spring-boot Software Security Generative AI Backend Fastapi AngularJS Kubernetes Infrastructure Automation Frameworks Information Technology Apache Kafka Graphql Front End Software Development Cloudwatch Api Gateway Restful APIs Dynatrace Docker Jenkins Vulnerability Analysis Microservices

Job description

We are seeking a highly skilled Mid-Level Full Stack Java Developer with experience in Angular, Java/Python backend development, cloud technologies, and exposure to Generative AI/LLM integrations. The ideal candidate should have strong full-stack development experience along with modern cloud-native and microservices architecture expertise., Full Stack Development Design and develop scalable full-stack applications with Angular frontends and microservices-based backend systems Develop secure and performant RESTful APIs and GraphQL services using Java/Spring Boot and/or Python/FastAPI Build responsive and accessible frontend applications using Angular, TypeScript, RxJS, and NgRx Collaborate with cross-functional teams including data engineers, analysts, and security teams Utilize AI-assisted development tools while maintaining strong coding and security standards Generative AI Integration Implement LLM integrations, Prompt Engineering, and RAG (Retrieval-Augmented Generation) pipelines Support ML model integrations and model-serving infrastructure Ensure responsible AI practices, monitoring, and governance CI/CD & Infrastructure Design and maintain CI/CD pipelines using Jenkins and related tools Work with Docker, Kubernetes, and Infrastructure-as-Code practices Implement automated testing, security scanning, and deployment best practices Technical Leadership Participate in code reviews and mentor junior developers Contribute to architectural decisions and engineering best practices Ensure compliance with security, audit, and governance standards, Software Guidance & Assistance, Inc., (SGA), is searching for a Senior Full Stack Developer (Python/Java/Angular) for a CONTRACT assignment with one of our premier Regulatory clien…

  • 1 month ago, Software Guidance & Assistance, Inc., (SGA), is searching for a Full Stack Developer for a CONTRACT assignment with one of our premier Regulatory clients in Rockville, MD or Tysons…
  • 2 months ago, Software Guidance & Assistance, Inc., (SGA), is searching for a Senior Full Stack Developer for a CONTRACT assignment with one of our premier Regulatory clients in Rockville, MD or…
  • 2 months ago

Requirements

Bachelor s degree in Computer Science or related field 5 7 years of professional software engineering experience Strong backend development experience with Java and/or Python 3+ years of Angular development experience (latest versions) Hands-on experience with:

  • TypeScript
  • RxJS
  • NgRx
  • REST APIs / GraphQL

Strong AWS cloud experience: * Lambda

  • ECS/EKS
  • API Gateway
  • S3
  • RDS
  • DynamoDB

Experience with Docker and Kubernetes Database experience with PostgreSQL and NoSQL databases such as MongoDB/DynamoDB Strong understanding of OWASP security principles and application security practices 1+ years of experience with LLMs, Prompt Engineering, OpenAI, Anthropic, or AWS Bedrock Preferred Skills: Experience in Financial Services or Regulatory environments Experience with LangChain, LlamaIndex, RAG architectures, and Vector Databases Exposure to Kafka, AWS SQS/SNS, or Kinesis Experience with Datadog, Grafana, or CloudWatch Knowledge of microservices patterns, distributed tracing, and observability Experience with feature flags, canary deployments, or progressive delivery strategies Key Competencies: Strong end-to-end ownership mindset Excellent debugging and troubleshooting abilities Strong communication and collaboration skills Commitment to code quality and automated testing Ability to quickly adapt to evolving AI/ML technologies

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