Senior AI Engineer at SecurityScorecard designing customer - facing AI features using TypeScript, Go, and AWS. Responsible for integrating AI capabilities into security solutions and collaborating with cross - functional teams.
About the role
- Design API integrations for email data exchange. Troubleshoot issues and collaborate with teams on containerized applications with Java and AI skills.
Responsibilities
- Design and document robust API integrations to facilitate email data exchange between Client and 3rd party vendor APIs. Create Detailed specification and documentation for APIs 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
- 1 Core Development skills 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 MLDL models Prototype build test and deploy products powered by GenAILLM 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 Big Data Messaging JMS or Kafka Enterprise Integration Architecture Patterns Understanding of Scalable Architectures
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