[Hiring] Solution Architect @RELQ Technologies

Role Description

We are a market-leading SaaS company seeking a visionary Solutions Architect to lead the technical design of a brand-new ERP application built entirely from scratch. This role is the architectural cornerstone of the project. You will be responsible for designing a highly scalable, multi-tenant enterprise system that seamlessly integrates with our existing suite of established SaaS products. Working alongside an "AI-first" engineering team, you will map out how this new product leverages our existing shared platform services while defining the AWS infrastructure and application architecture for the new .NET/Angular codebase.

Key Responsibilities

• System Architecture & Design: Own the high-level and low-level technical design for a zero-to-one enterprise ERP application.
• Ecosystem Integration: Design robust, secure integration patterns between the new ERP and our existing SaaS product portfolio.
• Platform Leverage: Architect solutions that intelligently consume our pre-built shared backend services (identity/access management, data routing, etc.) rather than reinventing the wheel.
• Cloud & Infrastructure: Define the AWS cloud architecture, ensuring high availability, performance, and strict data isolation for multi-tenant enterprise clients.
• Technical Guidance: Partner closely with the Engineering Manager and an AI-enabled development team, establishing technical standards, code generation patterns, and architectural guardrails.

Qualifications

• Deep expertise in .NET (C#) ecosystem and Microservices architecture.
• Strong architectural understanding of Angular.
• Extensive experience designing cloud-native solutions in AWS.
• NuGet repository management and internal package sharing.
• Proven track record designing Enterprise, Multi-Tenant SaaS systems (this is a strict must-have).

Requirements

• Zero-to-One Experience: Must have a portfolio of projects where you defined the architecture for a complex SaaS platform from a blank slate.
• Startup DNA: Must possess a strong startup mentality - highly adaptable, hands-on, and capable of making pragmatic architectural decisions that balance speed-to-market with long-term scalability.
• AI-Forward Mindset: Familiarity with modern AI coding assistants and an understanding of how to architect codebases that are easily navigable and extensible by AI-driven development teams.
• Executive Communication: Ability to translate complex architectural trade-offs into clear business impact for stakeholders.