Senior Software Engineer

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.