Sr Solution Architect

RELQ TECHNOLOGIES; United States; Remote; USD 140,000 - 170,000; Full time

Job summary

Relq Technologies Llc is seeking a visionary Solutions Architect to lead the design of a brand-new ERP application built from scratch. This remote US contract role demands a high-visibility, zero-to-one architecture that scales for multi-tenant SaaS, integrating with our existing platform services and AI-enabled development efforts.

You will define the AWS infrastructure and .NET/Angular codebase, establish technical standards, and collaborate with an AI-driven team and Engineering Manager to

Qualifications

• Zero-to-One Experience: defined architecture for a complex SaaS platform from a blank slate.
• Startup DNA: adaptable, hands-on, and capable of balancing speed-to-market with scalability.
• AI-Forward Mindset: familiarity with AI coding assistants and extensible codebases.
• Executive Communication: translate architectural trade-offs into business impact.

Responsibilities

• Own high-level and low-level technical design for a zero-to-one enterprise ERP application.
• Design robust, secure integration patterns between the new ERP and existing SaaS products.
• Architect solutions that leverage pre-built shared backend services (identity, data routing, etc.).
• Define the AWS cloud architecture, ensuring high availability and multi-tenant isolation.
• Set technical standards and guardrails with the AI-enabled development team.

Skills

Microservices architecture

.NET (C#) ecosystem

Angular

AWS cloud architecture

Multi-tenant SaaS

Tools

NuGet

Internal package sharing

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.