Full stack java Developer

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.

Key Responsibilities:

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

Required Qualifications:
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