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ES

Sr Java and AI Engineer

Epsilon Solutions LTD
๐Ÿ‡จ๐Ÿ‡ฆ Canada
On-site
Senior
9 months ago
  • Java
  • AI
  • Performance Testing
  • Spring Boot
  • Integration Testing
  • JPA
  • Kubernetes
  • Devops
  • CI/CD
  • GitHub
  • Jenkins
  • Nexus
  • Jira
  • Confluence
  • Ansible
  • SonarQube
  • Apache
  • Airflow
  • Machine Learning
  • MCP
  • JMS
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Role - Sr Java and AI Engineer
Location โ€“ Toronto / Mississauga, ON (4 days onsite)
Long Term Contract

What will you do?
  • 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
  • Strong experience in Int
  • Provide Level 2 support as needed

What do you need to succeed?
1. Core Development skills โ€“
- Analytical and Problem Solving Aptitude
- Major Design Patterns
- Common Data Structure and Algorithms
2. 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
3. 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.
4. Preferred skills โ€“
- Big Data, Messaging (JMS or Kafka) , Enterprise Integration Architecture Patterns, Understanding of Scalable Architectures

Sr Java and AI Engineer ยท Epsilon Solutions LTD

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