Senior Full Stack Software Engineer ( Strong backend - Python & Go + frontend)

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Skills you'll use

What you'll do

• Independently design, build, and lead feature development across Champion platform repositories using trunk-based development and PR-gated merges.
• Optimize system architecture and developer experience: tooling, scaffolding, internal documentation, and onboarding paths for engineering teams.
• Architect, maintain, and evolve the MCP tool server and multi-agent infrastructure that business unit teams depend on for production deployments.
• Proactively debug and resolve complex technical issues, performance bottlenecks, and friction points across cloud-native and agentic platform architectures.
• Provide technical leadership, guidance, and mentorship to junior team members and Applied AI engineers across business units.
• Lead complex cross-team code and architectural reviews for agent implementations — focusing on prompt quality, scope enforcement, security/auth configuration, and deployment setup.
• Establish engineering standards and contribute to internal architectural guides and skills documentation.
• Partner with DevOps, Cloud, and BU engineers on Kubernetes manifest creation, database registration, and feature flag/prompt rollouts.
• Drive end-to-end design and implementation of Champion agents for high-impact business unit use cases.
• Engage in high-level cross-functional collaboration 

Who can apply

• Drive end-to-end design and implementation of Champion agents for high-impact business unit use cases.
• Engage in high-level cross-functional collaboration 
• 5+ years of software development experience in enterprise SaaS environments (3+ with a Master's), specialising in Python, Golang and cloud-native AI-driven systems.
• Solid understanding of Model Context Protocol (MCP), Agent-to-Agent (A2A) protocol, multi-agent architectures, prompt engineering, and evaluation design.
• Proficiency in Python (async, FastAPI, Pydantic, pytest, pytest-asyncio, DeepEval), Docker, PostgreSQL, and Git.
• Proven ability to independently lead feature development, architectural reviews, and cross-team technical decisions.
• Experience mentoring junior engineers and setting engineering standards in a team environment.
• Working knowledge of AWS (ECR, EKS, Bedrock), Kubernetes, and Terraform.

About QAD, Inc.

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