[Hiring] Staff, Rust Engineer - Core Infrastructure @Sequen AI

Role Description

We are looking for a Core Systems Engineer with a deep mastery of Rust to design, build, and optimize Sequen’s underlying model serving infrastructure and real-time performance engines. This role sits at the absolute core of our technical strategy. You will be responsible for ensuring our frontier ranking and recommendation APIs process petabyte-scale data and compute complex inference logic with ultra-low latency. You will replace high-overhead bottlenecks with elegant, production-grade Rust systems, building a reliable foundation that scales alongside our rapid enterprise customer growth.

Responsibilities:

• Optimize Real-Time Infrastructure:
  • Write high-performance, memory-safe, and concurrent production code in Rust.
  • Optimize model serving infrastructure to achieve ultra-low inference latency under heavy concurrent request loads.
  • Build low-latency data ingestion systems, microservices, and network protocols to process real-time behavioral streams.
• Develop Core Architectural Tooling:
  • Design and maintain robust, high-throughput backend APIs and SDKs.
  • Implement customized abstractions, caching layers, and memory management profiles to maximize hardware efficiency.
  • Migrate data-heavy bottlenecks from higher-overhead languages into highly optimized Rust components.
• Ensure Reliability and Scale:
  • Own the end-to-end lifecycle of core backend infrastructure components.
  • Debug complex distributed system deadlocks, race conditions, and production bottlenecks across cloud environments.
  • Establish rigorous performance benchmarking, regression testing, and real-time system monitoring.
• Collaborate on Product Evolution:
  • Partner directly with Applied Scientists to translate recent neural network and ranking model breakthroughs into highly scalable runtime realities.
  • Define best practices for building secure, scalable, and deterministic system architectures across our entire engineering organization.

Qualifications

• 6 to 8+ years of experience in Software Engineering, Systems Programming, Infrastructure Engineering, or similar.
• Strong professional experience writing and deploying production-grade Rust code in high-scale systems.
• Deep understanding of Rust-specific primitives, including ownership, lifetimes, concurrency models, and asynchronous runtimes like Tokio.
• Experience building robust backend systems, custom APIs, and event-driven architectures.
• Experience debugging, profiling, and operating high-throughput production systems under strict real-world constraints.
• Comfort with ambiguity, a strong sense of technical ownership, and an ability to balance engineering speed with quality.

Requirements

• Experience working with cloud platforms like AWS, GCP, or Azure and container orchestration tools like Docker and Kubernetes.
• Experience implementing machine learning model inference optimizations, vector search databases, or large-scale data pipelines.
• Background in early-stage startups or fast-moving, high-growth technical environments.

Benefits

At this stage, the efficiency and speed of our core infrastructure directly dictate how our product performs for global-scale consumer enterprises. You will have a blank canvas to architect core systems, work with bleeding-edge AI workflows, and fundamentally define the technical scalability of the company.