> Markdown version of [/jobs/ext/3657462-backend-engineer-rust](https://www.wearedevelopers.com/jobs/ext/3657462-backend-engineer-rust). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Engineer (Rust) - **Company:** Talentco, LLC - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $95,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Apache HTTP Server, Microsoft Azure, C++ (Programming Language), Software as a Service, Databases, Distributed Systems, Indexer, Backend - **Published:** October 9, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pq02xeqy4f ## About the Role This role requires strong backend engineering skills, a real understanding of distributed systems, and the ability to evolve an architecture as load grows. You'll work in a small, senior, high-agency team where engineers own what they build., * 3-5 years of professional experience building and scaling backend systems, ideally in managed database products, SaaS or data-platform companies, or high-traffic environments. * A concrete story of re-architecting a system to handle a big jump in load or data volume (for example, distributing work across nodes). * Production Rust experience, or a strong systems background (C/C++) with genuine motivation to work in Rust. * A solid understanding of distributed systems trade-offs: coordination, consistency, failure modes, retries and scaling across nodes. * Comfort with lower-level systems work and some familiarity with database internals. * Nice to have: Apache Arrow / DataFusion, cloud deployment (AWS/GCP/Azure) and/or an interest in ML, robotics, AR/VR or simulation. ## Description * Design and evolve distributed systems that scale as product usage grows, distributing data and requests across more nodes and services. * Help build and scale the core of a columnar analytical database, including ingestion, indexing, storage and query paths. * Identify and resolve the bottlenecks and failure modes that appear at scale. * Write production-grade Rust in a modern stack built around columnar data and object storage. * Take broad ownership of what you build, from early design through to production.