Infor - Senior Full Stack Software Engineer - Python

Role Overview :

The Senior Software Engineer is a full-stack individual contributor responsible for designing and building production-ready services and platform features for Claude Integration and Gen AI Platform Improvements. This role requires strong engineering depth, hands-on Python and front-end development, practical AWS knowledge, and the ability to design solutions from problem statements.

A Typical Day In The Life Includes :

• Design and build production services and RESTful/async APIs in Python using FastAPI, plus corresponding front-end capabilities using Angular or a comparable JavaScript framework.
• Build and integrate platform features using AWS services including Bedrock, SageMaker, Lambda, and EKS.
• Integrate with the Anthropic Claude API and Model Context Protocol (MCP) as required by platform initiatives.
• Contribute to AI Governance capabilities across explainability, observability, and prevention based on initiative priorities.
• Own feature and component design within the assigned area, including approach, trade-offs, and technical recommendations.
• Mentor engineers, review code, review designs, and help raise overall engineering quality.
• Participate in effort estimation and challenge scope, assumptions, or estimates where warranted.

Basic Qualifications :

• Strong, demonstrated engineering experience shipping production software.
• Hands-on experience using an AI coding tool in daily development work (e.g., Claude Code, AWS Kiro, OpenAI Codex).
• Proficiency in Python and full-stack development, including FastAPI, Angular, and PostgreSQL.
• Working knowledge of AWS services, including Bedrock, SageMaker, Lambda, and EKS.
• Demonstrable exposure to LangChain, LangGraph, or a comparable agentic framework.
• Comfort designing a solution from a problem statement.
• Baseline AI literacy, including understanding how AI works, recognizing useful AI scenarios, and using AI responsibly.

Preferred Qualifications :

• Direct experience with the Anthropic Claude API and Model Context Protocol (MCP).
• Prior work on systems with explainability, observability, or guardrail requirements.
• Ability to balance speed, engineering quality, production readiness, and evolving GenAI platform needs.
• Familiarity with containerization (Docker) and infrastructure-as-code (e.g., Terraform or CloudFormation).