System Architect
Indexed description
Our client is a global leader in Data Intelligence and Enterprise Web Infrastructure, who is looking for a visionary System Architect to join them.
In this position, you will own the end-to-end system architecture. You aren't just drawing diagrams; you are staying deeply involved in the implementation and code, ensuring that event-driven systems operate with absolute reliability at a massive scale.
Responsibilities
- Architectural Ownership: Define the long-term platform strategy, ensuring every design choice aligns with product needs and extreme scalability requirements.
- Hands-On Evolution: Build and evolve distributed, event-driven backend systems while remaining "in the trenches" with core services and critical paths.
- Technical Vision: Translate complex business needs into robust technical designs and clear system boundaries.
- Optimization & Resilience: Identify bottlenecks and technical debt, leading initiatives to solve them through thoughtful, pragmatic design.
- Engineering Excellence: Set the standard for code quality, observability, and resilience, serving as the ultimate technical reference point for the engineering organization.
- Proven Architectural Pedigree: Significant experience as a System Architect, Staff Engineer, or Senior Technical Lead with a track record of making foundational design decisions.
- Distributed Systems Expertise: Deep knowledge of software architecture trade-offs regarding performance, maintainability, and high-availability.
- Coding Proficiency: Strong hands-on skills (ideally in TypeScript) and a genuine desire to remain close to the codebase.
- Operational Intuition: A high-bar for observability, fault tolerance, and production debugging in complex environments.
- Pragmatic Leadership: The ability to balance "perfect" architecture with real-world business constraints and communicate those trade-offs to stakeholders.
- Deep experience with TypeScript and Node.js.
- Strong background in Event-Driven Architectures.
- Experience with LLMs and modern AI/ML integration.
- Familiarity with Networking, Proxies, or Reverse Engineering.
- Experience building data-intensive solutions for major social media or web platforms.
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