Rust / C++ Systems Engineer -- Data Storage & Replication in Urbar

Job Description

About us & The Mission

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Join us to protect the world's communities from financial crime. Our real-time fraud prevention solutions protect more than 100 billion payment transactions per year across the globe.

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To address the challenges of an evolving technological ecosystem and growing market demands, we are **building a brand-new, dedicated engineering team**. This is a rare opportunity to join at the foundation: you will help shape the future of our technology stack, evaluate architectural alternatives, and directly inform key technical decisions in close collaboration with technical leadership.

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If you thrive in an environment where your voice directly impacts architecture, technology choices, and long-term product direction, this is the place for you.

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Role & Opportunity

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Our platform manages vast volumes of behavioural data — counters, indexes, precedents, patterns, and historical transactions — under strict real-time and durability requirements. As part of our new engineering initiative, you will help design and build the next of our Data Storage layer, turning persistence and clustering into a modern, highly available, and scalable foundation.

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You will collaborate directly with technical leadership to evaluate storage engine designs, persistence strategies, and replication mechanisms, playing a key role in defining how data is stored and distributed across the platform.

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What you will work on

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• Help shape the storage architecture: evaluate persistence strategies, storage engines, and data layouts for ultra-low-latency workloads.

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• Design and build robust durability and recovery mechanisms: write-ahead logging (WAL), snapshotting, and incremental replication.

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• Design data transplantation and high-availability cluster recovery workflows (node join, re-attach, disaster recovery).

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• Implement high-efficiency inter-process communication (such as shared memory) between storage and compute layers.

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• Contribute to data partitioning and tenant-sharding strategies for horizontal scalability.

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• Instrument storage health and performance metrics (write lag, buffer utilization, I/O latency) with modern observability standards.

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• Actively participate in architectural decisions and technology selection for data persistence and clustering.

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Requirements

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• Degree in computer science, software engineering, or equivalent practical experience.

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• Strong hands-on programming experience with Rust and/or modern C++ (17/20/23) in performance-sensitive or low-latency systems.

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• Deep understanding of concurrent programming: memory models, cache efficiency, synchronization primitives, and lock-free data structures.

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• Experience with profiling, benchmarking, and optimizing applications on Linux.

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• Sound understanding of storage and durability fundamentals (WAL concepts, persistence, crash consistency) or distributed data replication.

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• Strong analytical mindset: ability to evaluate architectural trade-offs with empirical data.

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• Collaborative mindset and eagerness to actively shape technology choices and team practices.

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• Fluent spoken and written English.

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Nice to have

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• Experience evaluating, embedding, or building storage engines, key-value stores, or distributed systems.

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• Knowledge of FFI and cross- interoperability (Rust / C++).

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• Experience with object-storage APIs (S3-compatible) or relational databases (PostgreSQL).

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• Experience with OpenTelemetry or similar observability frameworks.

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• Familiarity with containerization concepts (Docker).

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Key concepts

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Rust

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Modern C++ (20/23)

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Storage Architecture

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WAL & Crash Consistency

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Replication & High Availability

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Shared Memory / IPC

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Linux Systems Programming

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Architecture & Tech Strategy

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We offer

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• Long-term position with excellent perspectives & high architectural impact

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• Opportunity to shape the technical foundation of a mission-critical platform

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• Direct collaboration with leadership in a flat, engineering-driven culture

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• Flexible working hours & hybrid model (2 days remote)

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• Modern workplace in a former monastery near Koblenz with latest hardware

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• Personal mentoring and continuous professional development

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• Regular team events and corporate benefits

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To apply: Send your application (cover letter, CV, degree/grade average, references, and salary expectations) to jobs@iris.de.