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Staff Backend Engineer - Distributed Systems
Archetype AI
- United States
- United States
Über
As a Staff Backend Engineer, you will lead the design and scaling of the core backend systems that power our AI platform. You will collaborate closely with ML researchers, product teams, and other engineers to bring cutting-edge AI models into production at scale, ensuring performance, reliability, and operational excellence. This role goes beyond coding: you will own complex systems end-to-end, influence architectural decisions, drive technical strategy, mentor other engineers, and elevate the overall engineering culture. Core Responsibilities
Lead the architecture, design, and implementation of distributed systems supporting high-throughput, low-latency AI model inference and data services. Collaborate with ML researchers and product teams to transition experimental models into production-grade systems. Define technical strategy and best practices for backend systems, including GPU clusters, cloud infrastructure, and distributed data pipelines. Drive performance optimization, reliability, and operational excellence across large-scale systems. Build internal tools, monitoring, and observability frameworks to proactively detect and resolve issues. Introduce innovative architectures, techniques, and automation to maximize scalability, efficiency, and reliability. Mentor engineers, lead by example, and foster a culture of engineering excellence, knowledge sharing, and collaboration. Balance rapid iteration on early-stage systems with long-term architectural soundness and maintainability. Take ownership of end-to-end problem solvingfrom design through deploymentensuring high quality and robust delivery. Minimum Qualifications
7+ years of professional software engineering experience, with a focus on backend or distributed systems. Deep understanding of distributed systems fundamentalsconcurrency, consistency, replication, fault tolerance, networking. Experience building and operating production-grade systems at scale in cloud environments (e.g., Azure, AWS, GCP). Strong debugging, instrumentation, and observability skills across distributed systems. Demonstrated ownership of complex technical problems and ability to learn and adapt quickly. Preferred Qualifications
7+ years of professional software engineering experience, with deep expertise in backend or distributed systems. Strong understanding of distributed systems fundamentals: concurrency, consistency, replication, fault tolerance, and networking. Experience building and operating production-grade systems at scale in cloud environments (AWS, GCP, Azure). Advanced debugging, instrumentation, and observability skills across complex distributed systems. Proven ownership of complex technical problems and ability to drive them to completion. Experience mentoring engineers and influencing architectural decisions across teams. What We Value
Ownership You take initiative, follow through, and care deeply about quality and outcomes. Motivation You're driven to solve complex problems and continuously raise the bar for yourself and your team. Excellence You bring discipline, clarity, and rigor to your craftand help others do the same. Collaboration You work well with others, mentor generously, and contribute to a high-trust, high-performance culture.
Sprachkenntnisse
- English
Hinweis für Nutzer
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