
Senior Backend Engineer (Distributed Systems)
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Backend Engineer (Distributed Systems) based in the United States.
This role sits at the core of building and evolving large-scale backend platforms that power mission-critical, high-throughput systems. You will design and operate distributed architectures that prioritize scalability, resilience, and performance across complex production environments. Working in a deeply technical engineering team, you’ll help shape foundational services used by multiple teams and workflows. The position involves solving hard distributed systems problems such as consistency, replication, and fault tolerance at scale. You will contribute to backend services built with modern high-performance languages and cloud-native infrastructure. This is an opportunity to influence system architecture decisions that directly impact reliability, latency, and cost efficiency across enterprise-grade platforms.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Backend Engineer (Distributed Systems) based in the United States.
This role sits at the core of building and evolving large-scale backend platforms that power mission-critical, high-throughput systems. You will design and operate distributed architectures that prioritize scalability, resilience, and performance across complex production environments. Working in a deeply technical engineering team, you’ll help shape foundational services used by multiple teams and workflows. The position involves solving hard distributed systems problems such as consistency, replication, and fault tolerance at scale. You will contribute to backend services built with modern high-performance languages and cloud-native infrastructure. This is an opportunity to influence system architecture decisions that directly impact reliability, latency, and cost efficiency across enterprise-grade platforms.