Управляет техническим направлением платформы Yalla и обладает навыками программирования
Старший архитектор агентских систем (TypeScript, .NET, MCP) - удалённо
в WLG
О роли
Our client acquires enterprise software companies and turns them into AI-native, profitable, scalable businesses. They are a remote-first, AI-forward team spread across the globe, offering high ownership, flexibility and impact, work across multiple products and technologies, and growth pathways across engineering, product and leadership.
The job: transform a 10+ year legacy codebase into a high-velocity, agent-operable architecture, at the intersection of software architecture, AI-agent orchestration and engineering governance.
Contract Type: Contract, full-time
Location: Fully remote from Eastern Europe, working US morning hours (Scrum).
What You'll Do
Agent-operable system architecture
- 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
- 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
- Background in SaaS transformations, scale-ups, or PE-backed environments
- Comfort operating in high-ambiguity, high-ownership settings
Our client acquires enterprise software companies and turns them into AI-native, profitable, scalable businesses. They are a remote-first, AI-forward team spread across the globe, offering high ownership, flexibility and impact, work across multiple products and technologies, and growth pathways across engineering, product and leadership.
The job: transform a 10+ year legacy codebase into a high-velocity, agent-operable architecture, at the intersection of software architecture, AI-agent orchestration and engineering governance.
Contract Type: Contract, full-time
Location: Fully remote from Eastern Europe, working US morning hours (Scrum).
What You'll Do
Agent-operable system architecture
- 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
- 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
- Background in SaaS transformations, scale-ups, or PE-backed environments
- Comfort operating in high-ambiguity, high-ownership settings
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Работа полностью удалённая (remote).
Требуется минимум 7 лет опыта в архитектуре программного обеспечения и техническом руководстве.
Требуется работать в утренние часы США, используя методологию Scrum.
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