Backend Lead

LTD Global
Jersey City, NJ, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$160,000 - $170,000
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Software Applications Cloud Engineering Code Review Continuous Integration DevOps
+18 more
Distributed Systems Hibernate (Java) Machine Learning Scrum Methodology Software Architecture Reverse Engineering Software Engineering Spring Cloud Large Language Models Spring-boot Generative AI Backend Kubernetes Functional Programming Api Gateway Restful APIs Docker Microservices

Job description

  • Lead backend development using Java, Spring Boot, Hibernate, and Microservices architecture.
  • Design, develop, and implement scalable, secure, and maintainable backend systems.
  • Hands-on experience with AWS services, including Lambda, EC2, S3, API Gateway, ECS/EKS, and cloud-native application development.
  • Experience integrating AI/ML and Generative AI capabilities into backend applications.
  • Knowledge of LLMs, AI APIs, AWS Bedrock, and AI-powered application development is highly desirable.
  • Collaborate with product management and stakeholders to translate business requirements into technical specifications.
  • Analyze existing applications, perform reverse engineering, and lead modernization or migration to new technology stacks.
  • Conduct code reviews, establish coding standards, and implement quality checks.
  • Provide technical leadership, mentorship, and coaching to development teams.
  • Assign tasks, resolve technical roadblocks, and ensure timely project delivery.
  • Drive architectural decisions and implement best practices for performance, scalability, and reliability.
  • Participate in Agile ceremonies and collaborate with cross-functional teams.

Requirements

  • Strong hands-on experience in Java, Spring Boot, Hibernate, and REST APIs.
  • Solid experience in AWS Cloud Services and cloud architecture.
  • Experience with Microservices and distributed systems.
  • Exposure to AI/ML, Generative AI, LLM integration, and AI-powered applications.
  • Strong software architecture and system design skills.
  • Experience with application modernization and reverse engineering.
  • Excellent leadership, communication, problem-solving, and team management skills.
  • Experience working in Agile/Scrum environments., * AWS certification.
  • Experience with AWS Bedrock and GenAI integration.
  • Knowledge of Docker, Kubernetes, CI/CD, and DevOps practices.
  • Experience building enterprise-scale cloud-native applications.

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