We are looking for a Senior Software Engineer to join our Decisioning team. You will design and implement cloud‑native applications on our platform using Node.js, Koa.js, React, TypeScript, and modern build/test tooling. The role also involves developing intelligent, agentic‑AI‑driven capabilities using Python and MCP‑based architectures
Responsibilities
* Develop and maintain cloud applications using Node.js, Koa.js, React, TypeScript, and modern frontend frameworks.
* Implement high‑quality, scalable backend services and responsive frontend components.
* Design, develop, and maintain Agentic AI modules using Python and MCP, integrating them with existing services.
* Build reusable UI components and modern interfaces using CSS, PrimeReact, Vite, and accessibility‑focused principles.
* Write clean, maintainable, and well‑tested code across the full stack.
* Maintain and improve automated test suites using unit, integration, and end‑to‑end frameworks (e.g., Vitest, Cypress, Playwright).
* Debug production issues, perform root‑cause analysis, and deliver fixes promptly.
* Enforce coding standards through thoughtful peer reviews.
* Contribute to architectural discussions, technical design, and estimation activities.
* Collaborate with cross‑functional teams: QA, DevOps, Product Management, and UX.
* Drive improvements to frontend performance, accessibility, CI/CD pipelines, and build systems.
* Mentor other developers and help elevate the team’s engineering culture and best practices.
* Identify opportunities for innovation, automation, and engineering efficiency.
Qualifications
* Bachelor’s degree in Computer Science, Software Engineering or equivalent practical experience.
* 6+ years of professional software development experience.
* 2+ years of hands‑on React experience in production environments.
* Strong proficiency in JavaScript, TypeScript, Node.js, and Koa.js.
* Expert knowledge of HTML5, CSS3, modern FE architecture, and state management patterns.
* Experience with REST/HTTP (and optionally GraphQL), authentication flows, error handling, and performance optimization.
* Strong understanding of automated testing: Vitest, unit tests, mock patterns, e2e tools such as Playwright/Cypress.
* Experience with Git, Bitbucket, code review workflows, and CI/CD pipelines.
* Hands‑on programming experience building Agentic AI workflows.
* Strong skills with Python for AI agent development, orchestration, or tooling.
* Experience building or integrating Model Context Protocol (MCP) agents or similar agent‑framework architectures.
* Ability to design autonomous or semi‑autonomous agent behaviors, reasoning loops, and action pipelines.
* Understanding of prompt engineering, tool‑use patterns, context management, and LLM‑driven automation.
* Comfortable in Agile/Scrum environments, collaborating across multiple teams.
* Ability to mentor junior/mid‑level engineers and contribute to technical decision‑making.
