Senior Software Engineer (Rust) - remote in the EU
About the Team
Our engineering team builds next-generation, cloud-native bare-metal orchestration platforms for AI neo-cloud environments. We operate on a T-shaped engineering model: while each engineer brings deep expertise in a primary domain, every team member maintains practical fluency across neighboring systems. This shared foundation enables rigorous design reviews, effective cross-domain code reviews, and dependable on-call coverage. Our development is fundamentally based on open-source projects, and contributing to them is a major part of our work.
We develop primary control plane software in Rust and Go, leverage Kubernetes operators, and foster an OpenTelemetry-first operational culture.
Role Overview
We are seeking a Senior Software Engineer who combines strong software architecture principles with understanding of Datacenter Networking and DPU architectures. Fitting into our T-shaped engineering model, you will drive the development of control planes powering high-density, high-throughput infrastructure for AI training and inference workloads. Familiarity with automated bare-metal provisioning and lifecycle management is a strong asset.
Core Responsibilities
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Control Plane Development: Design, build, and maintain production-grade control plane microservices, custom Kubernetes operators, and robust reconciliation engines in Rust and Go.
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Architecture & API Design: Author clear Functional (FR) and Non-Functional Requirements (NFR), architectural specs, system sequence diagrams, and clean gRPC/Protobuf and REST API schemas.
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Network Integration: Develop custom integration modules and integrations for modern network operating systems (SONiC, NVUE, Cumulus) and DPU hardware platforms.
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Observability & Diagnostics: Instrument services end-to-end using OpenTelemetry (OTel) traces and metrics, performing systematic root-cause analysis across polyglot distributed systems.
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Quality & Engineering Excellence: Participate in rigorous, review-gated pull request workflows across Rust, Go, and SQL codebases while ensuring high test coverage via mock-driven testing.
Required:
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Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent practical experience.
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5+ years of software engineering experience in cloud-native platforms or systems programming
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Primary mastery of Rust (Tokio async runtime, Tonic, Axum, sqlx) and proficiency in Go (secondary).
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Concurrency & Reliability: Strong background in async concurrency models, lock-free patterns, distributed state handling, and mock-driven testing discipline.
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APIs & Serialization: gRPC/Protobuf contract design (via tonic/prost) and schema evolution (using zero-copy serialization and compile-time type generation).
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Kubernetes Control Planes: Experience writing custom controllers/operators using kube-rs with CRD-driven reconciliation loop patterns.
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Testing Discipline: Commitment to test-driven design, writing highly testable code with mock interfaces for external service dependencies.
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Collaborative Architecture: Proven track record of writing crisp architectural specs and engaging in constructive, cross-functional design reviews.
Desired:
- Advanced SQL / PostgreSQL fluency
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Datacenter Protocols & OS: Expertise in BGP, MP-BGP, EVPN, VXLAN, L3VNI, route targets, and route server design. Hands-on experience with SONiC, Cumulus Linux, and NVUE (featuring a first-class NVUE client).
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DPU & Fabric Ecosystem: Deep knowledge of NVIDIA DOCA, Host-Based Networking (HBN), BlueField DPU architectures, and the DPF (DOCA Platform Framework) operator model (BFB, DPUSet, DPUNode CRDs).
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High-Performance Interconnects: Understanding of InfiniBand fabrics, NVLink / NMX-M partitioning, and RoCEv2.
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Linux Kernel Networking: Advanced grasp of Linux netlink, network namespaces, routing tables, and internal DHCP/DNS service implementations (the project ships its own services).
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Cloud & Kubernetes Networking: Famil