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# Rust Software Engineer - Banking Platform

- **Company:** Scalable GmbH
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Distributed Systems, Systems Architecture, Rust (Programming Language), Concurrency, Build Management, Information Technology, Low Latency, Api Design, Terraform, Domain Driven Design, Docker, Microservices
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/senior-rust-software-engineer-banking-platform-m-f-x-scalable-gmbh-8806210

## About the Role

* A university degree in a relevant field of study (e.g. computer science, engineering, sciences, ...) or a comparable qualification.
 * Extensive experience in our tech stack: Rust, Docker, AWS, Terraform
 * Strong Rust proficiency (ownership, lifetimes, concurrency, async, error handling).
 * Excellent systems thinking: latency, throughput, backpressure, and failure modes.
 * Experience building high-performance services in production.
 * Experience with low-latency systems.
 * Strong analytical thinking, both in the technical and in the product domain.
 * Excellent communication skills that are clear, concise, and targeted towards your audience - engineering, product, or other stakeholders.
 * A passion for well architected, testable and documented code.
 * Experience using coding agents (e.g., Codex or similar AI-assisted development tools) is a plus.
 * Experience with domain-driven design and distributed architectures and/or microservices is a plus.
 * Background in financial services and exposure to compliance or audit requirements in financial systems is a strong plus.

## Description

Be part of the team building high-throughput, low-latency financial systems where correctness, reliability, and observability are non-negotiable. You'll work on core services that process time-sensitive financial data and execute critical workflows under strict performance and risk constraints.

 * Design and build latency-sensitive Rust services handling high-frequency data and decisioning.
 * Implement robust, testable financial logic with strict correctness guarantees.
 * Build and maintain streaming pipelines (real-time inputs, event processing, and feedback loops).
 * Optimize performance across CPU, memory, and network with profiling and benchmarking.
 * Collaborate on API design, data models, and system architecture.


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