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.