Leads the architecture and development of Java-based enterprise applications, microservices, REST APIs, and cloud solutions on AWS. Develops applied generative AI solutions using LLMs, RAG, fine-tuning, prompt engineering, and managed platforms such as AWS Bedrock. Guides application design, deployment, security, monitoring, performance, and technical implementation while collaborating with project teams. The role is fully onsite in McLean, Virginia and requires extensive experience with modern Java, cloud-native technologies, containers, UI frameworks, and AI development.
Role: Java Tech Lead
Location: McLean, VA
Work Mode: All five days onsite. (100% onsite Role)
Experience Level : 10-18 years.
Candidates must be authorized to work in the United States on a long-term basis without current or future employer sponsorship requirements.
Mandatory Requirements
- Experience in design and development of applications using Java 8+ / J2EE, Spring, Spring Boot, and RESTful services with a UI framework
- Experience in design and development of microservices using Spring Boot and REST API
- Focused on applied Gen AI development
- Good knowledge in Python, LangChain, and LangGraph — added advantage
- Strong knowledge and experience in ORM frameworks — JPA / Hibernate
- Good knowledge and experience in Docker and Kubernetes
- Experience in any one of the UI frameworks — Angular / ReactJS
- Experience in designing and implementing cloud-based solutions across various AWS services (EC2, IAM, S3, Lambda, etc.)
- Good knowledge in technical concepts — security, transaction, monitoring, and performance
- Good experience with any one of the code assistant tools — GitHub Copilot, Kiro, Claude Code, etc.
- Familiarity with managed LLM platforms such as AWS Bedrock
- Hands-on experience with various LLMs, RAG, fine-tuning, and prompt engineering
Good to Have
- Experience with OAuth implementation using Ping Identity
- Familiarity with API management (Apigee) and service mesh (Istio)
- Experience with Elasticsearch, Logstash & Kibana
- Good knowledge and experience in any queue-based implementations
- Good knowledge and experience in NoSQL (MongoDB) and GraphQL
- Experience with scripting languages using Unix and Python
Soft Skills
- Good communication and a self-starter
- Fast learner of new technologies and tools
- Ability to work independently, contributing to the success of assigned project(s)
- Participate in discussions with project teams to understand the application design and build process, and help deploy applications in target environments
- Degree in Computer Science, Engineering, or equivalent
- Preferably certified in AWS
- Candidates must be authorized to work in the United States on a long-term basis without current or future employer sponsorship requirements
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Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
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- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
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- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
