Designs, develops, and deploys enterprise applications using Java, Spring Boot, microservices, REST APIs, cloud services, databases, DevOps tools, and Angular or React. The role also involves AI exposure with Python, LangChain, and LangGraph, along with application security, monitoring, performance, deployment, and collaboration with project teams. The position is onsite in McLean, Virginia.
Role: Java Full Stack Developer with AI
Location: McLean, VA (5 Days Onsite)
Duration: Fulltime
Candidates must be authorized to work in the United States on a long-term basis without current or future employer sponsorship requirements.
Role Overview
Seeking an experienced Java Full Stack Developer with AI exposure to design, develop, and deploy enterprise applications using modern Java, microservices, cloud, and front-end technologies.
Required Qualifications
- 8-15 years of experience in designing and developing applications using Java 8+/J2EE, Spring, Spring Boot, RESTful services, and UI frameworks.
- 2+ years of experience in designing and developing microservices using Spring Boot and REST APIs.
- Strong knowledge and experience with ORM frameworks such as JPA/Hibernate.
- Good knowledge and experience with Docker and Kubernetes.
- 2+ years of experience with at least one UI framework: Angular or ReactJS.
- 1+ year of experience in designing and implementing cloud-based solutions across AWS services such as EC2, IAM, S3, Lambda, etc.
- Good knowledge and experience with any RDBMS/PostgreSQL.
- Strong experience with the DevOps toolchain: Jenkins, Artifactory, Maven/Gradle, and Git/BitBucket.
- Good knowledge of technical concepts including security, transactions, monitoring, and performance.
- Experience with AI-driven solutions, Python, LangChain, and LangGraph will be highly valuable for enterprise applications using modern Java, microservices, cloud, and front-end technologies.
Preferred Qualifications
- Experience with OAuth implementation using Ping Identity.
- Familiarity with API management using Apigee and service mesh using Istio.
- Experience with Elasticsearch, Logstash, and Kibana.
- Good knowledge and experience with queue-based implementations.
- Good knowledge and experience with NoSQL, such as MongoDB.
- Experience with scripting languages such as Unix and Python.
Soft Skills
- Fast learner of new technologies and tools.
- Able to work independently and contribute to the success of assigned projects.
- Participates in discussions with project teams to understand application design and build processes and helps deploy applications in target environments.
- Degree in Computer Science, Engineering, or equivalent.
- AWS certification is preferred.
Hexaware Technologies London, England Office
40 Bank Street, Level 19 London, London, United Kingdom, E14 5NR
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