Java Backend Engineer
2 weeks ago
Job Role: Java Backend Engineer
Location: McLean, VA/ Plano, TX- 3 days Hybrid
Duration: 6-12 Months
There will be in-person interview at client location. Candidate should be local to the client location (McLean, VA/ Plano, TX)
.
We are seeking a highly skilled Full Stack Developer with a strong focus on backend systems to design, build, and enhance enterprise-scale applications. The ideal candidate will have deep expertise in Java, Spring Framework, Angular, and AWS cloud services. Experience with GenAI integration and mortgage/financial domain is highly desirable.
Key Responsibilities:
• Design, develop, and maintain scalable backend services using Java and Spring Boot
• Build and optimize dynamic UI applications using Angular
• Integrate Generative AI components into applications, including model invocation and API integration
• Develop and maintain RDS-backed applications, ensuring efficient data modeling and access patterns
• Work within AWS cloud environments leveraging services such as Lambda, EC2, S3, RDS, IAM, etc.
• Participate in architectural design discussions and recommend improvements for performance and reliability
• Implement secure coding practices, CI/CD pipelines, and automated testing for high-quality delivery
• Collaborate with cross-functional teams including Product, DevOps, Cloud Engineering, and QA
• Troubleshoot complex issues and provide production support as required
Required Skills & Experience:
• 6–10+ years of Full Stack development experience
• Expert-level Java and Spring Boot experience
• Strong Angular development skills
• Hands-on experience with AWS cloud services
• Experience working with relational databases (preferably AWS RDS – PostgreSQL or MySQL)
• Exposure to Generative AI applications, LLM integration, or similar AI technologies
• Experience with Microservices architecture, REST APIs, and distributed systems
• Strong understanding of CI/CD using tools such as Jenkins, GitHub Actions, or AWS DevOps services
• Solid understanding of security, authentication, and authorization best practices
Preferred Qualifications:
• Mortgage, financial services, or secondary lending domain experience
• Working knowledge of Docker, Kubernetes, Terraform or CloudFormation
• Experience with event-driven architectures (Kafka, SNS/SQS, etc.).
EEO: "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of –minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
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