Senior Agentic Systems Architect, TypeScript, .NET, MCP

Work Life Group

. Decompose legacy monoliths into agent-readable, modular systems with strict boundaries and single responsibility .

Posted 10/24/2026full-timeRemote • GeorgiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in software architecture and modernization of legacy systems, with a strong focus on API design, modular architectures, and agentic development. Proven ability to enforce best practices such as SOLID principles and test-driven development while ensuring scalability and maintainability.

Highest-signal resume keywords

Software ArchitectureTypeScriptAPI DesignAgentic DevelopmentTest-Driven Development

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Hard Skills

TypeScriptNode.js.NETAPI DesignModular ArchitectureTest-Driven DevelopmentLegacy System ModernizationDistributed SystemsHexagonal ArchitectureDependency Injection

Soft Skills

Technical LeadershipHigh-Ownership MindsetComfort in High-Ambiguity Settings

Tools & Technologies

Model Context Protocol (MCP)AI-Generated Pull RequestsAgent Context Layer

Industry Keywords

SaaS TransformationsScale-UpsPE-Backed Environments

Tech Stack

Tools & technologies

Distributed SystemsJavaScriptNode.jsTypeScript.NET

About the role

Key responsibilities & impact

Decompose legacy monoliths into agent-readable, modular systems with strict boundaries and single responsibility
Lead incremental modernization using the Strangler Pattern and contract-driven interfaces
Enforce SOLID principles, Dependency Injection, and Hexagonal Architecture
Architect and maintain the agent context layer using standardized Skills, Rules, and Commands
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 between human intent and autonomous agent execution
Act as architectural gatekeeper for AI-generated pull requests
Ensure scalability, security, and long-term maintainability
Mandate test-driven development (TDD) and characterization testing during refactoring
Monitor and optimize agentic reasoning loops for cost, speed, and architectural integrity
Transform a 10+ year legacy codebase into a high-velocity, agent-operable architecture

Requirements

What you’ll need

7+ years in software architecture, platform engineering, or technical leadership
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
Practical experience with agentic development, MCP, LLM tooling, or AI-assisted engineering
Bias toward clean code, deterministic systems, and production-grade AI
Experience with remote-first or globally distributed teams (nice to have)
Background in SaaS transformations, scale-ups, or PE-backed environments (nice to have)
Comfort operating in high-ambiguity, high-ownership settings (nice to have)
Ability to work US morning hours

Benefits

Comp & perks

High ownership, flexibility and impact
Work across multiple products and technologies
Growth pathways across engineering, product and leadership
Remote-first work arrangement
Fully remote work from Eastern Europe
Contract, full-time engagement