System Architect

EVA Equity Partners; Texas; Híbrido; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

EVA Equity Partners is seeking a Systems Architect with 7+ years of backend engineering leadership to modernize complex, undocumented platforms in a production setting.

You will decompose legacy monoliths, enforce SOLID and hexagonal architectures, and lead contract‑driven API design and AI tooling efforts across teams to balance cost, speed, and reliability.

Formación

• 7+ years in software architecture and platform engineering.
• Experience modernizing large, undocumented legacy systems.
• Hands-on with TypeScript, .NET, and Node.js.
• Strong API design and distributed system skills.
• Experience with AI-assisted engineering and MCP.

Responsabilidades

• Decompose legacy monoliths into modular, boundary-driven systems.
• Lead modernization using Strangler Pattern with contract-driven interfaces.
• Enforce SOLID, DI, and hexagonal architecture for reliable AI execution.
• Architect and maintain the agent context layer for AI workflows.
• Own contract-first API design as the interface between human intent and automation.
• Gatekeeper for AI-generated PRs ensuring security and maintainability.
• Monitor and optimize agentic reasoning loops for cost, speed, and architecture.

Conocimientos

Systems architecture

Backend engineering

SOLID principles

Dependency injection

Hexagonal architecture

API design

Distributed systems

AI tooling

TDD

Herramientas

TypeScript

.NET

Node.js

MCP

LLM tooling

Descripción del empleo

We are hiring a Systems Architect with at least 7 years of experience and strong backend engineering expertise.

Responsibilities:

• Decompose legacy monoliths into agent‑readable, modular systems with strict boundaries and single responsibility.
• Lead incremental modernization using the Strangler Pattern, wrapping legacy logic in modern, contract‑driven interfaces.
• Enforce SOLID principles, dependency injection, and hexagonal architecture to ensure deterministic AI execution and low regression risk.
• Architect and maintain the agent context layer: standardized skills, rules, and commands for AI‑driven engineering workflows.
• Build and operate Model Context Protocol (MCP) servers exposing legacy APIs, services, and databases as typed, secure, AI‑consumable tools.
• Own contract‑first API design as the primary interface between human intent and autonomous agent execution.
• Act as architectural gatekeeper for AI‑generated pull requests, ensuring scalability, security, and long‑term maintainability.
• Mandate test‑driven development (TDD) and characterization testing to preserve legacy behavior during refactoring.
• Monitor and optimize agentic reasoning loops to balance cost, speed, and architectural integrity.

Requirements:

• 7+ years in software architecture and platform engineering.
• Proven experience modernizing large, undocumented legacy systems.
• Deep hands‑on expertise with TypeScript, . NET, and Node.js .
• Strong background in API design, distributed systems, and modular architectures.
• Experience with agentic development, MCP, LLM tooling, or AI‑assisted engineering.
• Bias toward clean code, deterministic systems, and production‑grade AI.