Solution Architect -US Remote

Relq Technologies Llc.; United States; Remote; USD 83,000 - 179,000; Full time

Job summary

Relq Technologies Llc. is seeking a visionary Solutions Architect to lead the technical design of a brand-new ERP application built from scratch.

This remote, contract-based role focuses on creating a scalable, multi-tenant enterprise system that integrates with Relq’s SaaS portfolio, leveraging AWS and a .NET/Angular stack. You will work with an AI-first engineering team, mapping how the product uses shared platform services like authentication and data routing while establishing architectural

Qualifications

• Architect and design a zero-to-one enterprise ERP platform from scratch.
• Communicate complex trade-offs clearly to stakeholders and leadership.
• Balance speed-to-market with long-term scalability in a rapidly evolving startup-like environment.
• Collaborate with AI-enabled engineering teams to create extensible architectures.

Responsibilities

• Own high-level and low-level technical design for a zero-to-one ERP application.
• Design robust, secure integration between the ERP and existing SaaS products.
• Architect solutions that leverage shared backend services (identity, data routing, etc.).
• Define AWS cloud architecture with multi-tenant isolation, reliability and performance.
• Guide engineering teams to adopt architectural standards and guardrails.

Skills

Solution architecture

Executive communication

Startup mindset

AI-forward mindset

Tools

NuGet

Job description

Position- Solution Architect

Location : Remote (United States of America)

Type : contract - 6 Months with possible extenison

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 (such as unified login, authentication, and core data routing) 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.

Technical Stack & Requirements

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

Candidate Profile & Must-Haves

• 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.