Job LocationDowntown Toronto (3 days work from office)
What is the opportunity?As a Senior Developer you will join a highly talented team that develops & maintains high-availability low-latency real-time systems that helps with communication surveillance for Capital Markets.You will work on exciting projects that manages the data ingestion/Data filtering/Data processing of large volumes of email/chat/audio recording for surveillance into On Prem storage, so it can be leveraged for generating alerts from NLP models using a vendor software.You will exhibit an engineering mind-set, be versatile, display leadership qualities and be enthusiastic to take on new problems across the full technology stack.What will you do?Design and document robust API integrations to facilitate email data exchange between internal and 3 rd 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 3 rd 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 mannerEnsure Security and efficiency of Containerized applicationConduct performance testing and optimization of containerized applicationProvide technical Support and Guidance to other Team membersStrong experience in IntProvide Level 2 support as neededWhat do you need to succeed?1.Core Development skills –
Analytical and Problem Solving AptitudeMajor Design PatternsCommon Data Structure and AlgorithmsJava Streams, Collections, Multithreading, Spring Boot, Unit and Integration Testing in Spring Boot, JPA, Java Security, Spring Cloud, Configurations and Deployment on KubernetesDevOps experience with continuous integration/delivery best-practices, technologies and tools such as GitHub, Jenkins, Nexus, JIRA, Confluence, Ansible, SonarQube, Checkmarx.Kubernetes Concepts and Components3.Generative AI Skills (2+ Years)
Machine Learning FundamentalsFamiliarity with common ML/DL modelsPrototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale.In depth Understanding of MCP ProtocolPrompt Engineering SkillsDeveloping MCP Client and Servers and integrating with the UI Clients.4.Preferred skills –
Big Data, Messaging (JMS or Kafka) , Enterprise Integration Architecture Patterns, Understanding of Scalable Architectures
