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System Architect

Job in Fort Worth, Tarrant County, Texas, 76101, USA
Listing for: EVA Equity Partners
Full Time position
Listed on 2026-11-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Backend Developer
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

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 Type Script, . 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.
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