Senior Java Developer with AI Experience - Halifax, NS(4 days hybrid) - Fulltime opportunity
- Compensation
- Not disclosed
- Location
- Halifax, Canada
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 2+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Core Development skills –
Nice to have
- Big Data, Messaging (JMS or Kafka) , Enterprise Integration Architecture Patterns, Understanding of Scalable Architectures
Full description
Job Description
Job DescriptionRole: Senior Java Developer with AI ExperienceLocation: Halifax, NS(4 days hybrid) Duration: Fulltime opportunityExperience: 7 years Responsibilities:
Design and document robust API integrations to facilitate email data exchange between Client and 3rd party vendor API’s.
Create Detailed specification and documentation for API’s including endpoint definition, request/response formats, authentication mechanism and error handling procedures.
Troubleshoot and debug integration problems working closely with development teams and 3rd party vendor teams.
Collaborate closely with product owner, business analysts as well as business users including compliance/audit teams.
Develop a deep understanding of email message attributes and ways of processing thousands of messages per second, in a fault tolerant, resilient and scalable manner.
Ensure Security and efficiency of Containerized application.
Conduct performance testing and optimization of containerized application.
Provide technical Support and Guidance to other Team members.
Provide Level 2 support as needed.
Requirements:
- Core Development skills –
- Analytical and Problem Solving Aptitude
- Major Design Patterns
- Common Data Structure and Algorithms
- Java skills (8+ Years)
- Java Streams, Collections, Multithreading, Spring Boot, Unit and Integration Testing in Spring Boot, JPA, Java Security, Spring Cloud, Configurations and Deployment on Kubernetes
- DevOps experience with continuous integration/delivery best-practices, technologies and tools such as GitHub, Jenkins, Nexus, JIRA, Confluence, Ansible, SonarQube, Checkmarx.
- Apache James, Flume, Airflow
- Kubernetes Concepts and Components
- Generative AI Skills (2+ Years)
- Machine Learning Fundamentals
- Familiarity with common ML/DL models
- Prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale.
- In depth Understanding of MCP Protocol
- Prompt Engineering Skills
- Developing MCP Client and Servers and integrating with the UI Clients.
Preferred skills:
- Big Data, Messaging (JMS or Kafka) , Enterprise Integration Architecture Patterns, Understanding of Scalable Architectures