Role Java Full Stack Lead Developer
Location Dallas, TX (Onsite)
Fulltime
Job Description
Roles & Responsibilities
Technical Leadership
- Lead architecture, design, and development of enterprise-grade applications and microservices.
- Define technical standards, best practices, and coding guidelines across engineering teams.
- Review solution designs, code quality, performance, and security compliance.
- Provide technical mentorship and guidance to development teams.
- Drive technology modernization initiatives and cloud adoption strategies.
Full Stack Development:
- Design and develop scalable applications using Java, Spring Boot, Microservices, and REST APIs.
- Build and maintain robust backend services and API integrations.
- Collaborate with UI development teams for end-to-end solution delivery.
- Troubleshoot complex application, integration, and performance issues.
- Implement secure authentication and authorization mechanisms.
Event-Driven & Integration Solutions:
- Design and develop Kafka-based event-driven architectures.
- Create scalable messaging and asynchronous processing solutions.
- Integrate applications with internal and external systems through RESTful services and APIs.
- Ensure reliability, resiliency, and fault tolerance of integration platforms.
Database & Data Management:
- Design and optimize Oracle database schemas and queries.
- Implement data modelling, indexing, partitioning, and performance tuning strategies.
- Ensure data integrity, security, and compliance with enterprise standards.
- Support database migration and modernization initiatives.
- Cloud & AWS Solutions (Must Have)
- Design, develop, and deploy cloud-native solutions on AWS
- Develop serverless applications using AWS Lambda.
Architect and implement solutions using AWS services including:
- Lambda
- API Gateway
- SQS
- SNS
- DynamoDB
- ECS/EKS
- CloudWatch
- IAMS3
- Bedrock
- Implement Infrastructure as Code (CloudFormation/Terraform preferred).
- Drive cloud security, monitoring, scalability, and cost optimization initiatives.
AI & Generative AI Engineering:
- Design and develop GenAI-powered business solutions using Amazon Bedrock.
- Build, deploy, and manage AI Agents using AWS AI services.
- Integrate Large Language Models (LLMs) into enterprise applications.
- Implement Retrieval Augmented Generation (RAG) frameworks and AI workflows.
- Optimize AI model performance, security, governance, and monitoring.
- Collaborate with business stakeholders to identify AI adoption opportunities.
Collaboration & Stakeholder Management
- Work closely with Product Managers, Architects, Business Analysts, and QA teams.
- Participate in project planning, estimation, and roadmap discussions.
- Communicate technical solutions and risks to technical and non-technical stakeholders.
- Support Agile/Scrum development methodologies.
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