Senior software engineer (rust)

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 Open Telemetry-first operational culture 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 Control Plane Development: Design, build, and maintain production-grade control plane microservices, custom Kubernetes operators, and robust reconciliation engines in Rust and Go Architecture & API Design: Author clear Functional (FR) and Non-Functional Requirements (NFR), architectural specs, system sequence diagrams, and clean g RPC/Protobuf and REST API schemas Network Integration: Develop custom integration modules and integrations for modern network operating systems (SONi C, NVUE, Cumulus) and DPU hardware platforms Observability & Diagnostics: Instrument services end-to-end using Open Telemetry (OTel) traces and metrics, performing systematic root-cause analysis across polyglot distributed systems 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 Kubernetes Control Planes: Experience writing custom controllers/operators using kube-rs with CRD-driven reconciliation loop patterns APIs & Serialization: g RPC/Protobuf contract design (via tonic/prost) and schema evolution (using zero-copy serialization and compile-time type generation) Testing Discipline: Commitment to test-driven design, writing highly testable code with mock interfaces for external service dependencies Collaborative Architecture: Proven track record of writing crisp architectural specs and engaging in constructive, cross-functional design reviews Primary mastery of Rust (Tokio async runtime, Tonic, Axum, sqlx) and proficiency in Go (secondary) Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent practical experience Concurrency & Reliability: Strong background in async concurrency models, lock-free patterns, distributed state handling, and mock-driven testing discipline 5+ years of software engineering experience in cloud-native platforms or systems programming Advanced SQL / Postgre SQL fluency Datacenter Protocols & OS: Expertise in BGP, MP-BGP, EVPN, VXLAN, L3 VNI, route targets, and route server design. Hands-on experience with SONi C, Cumulus Linux, and NVUE (featuring a first-class NVUE client) DPU & Fabric Ecosystem: Deep knowledge of NVIDIA DOCA, Host-Based Networking (HBN), Blue Field DPU architectures, and the DPF (DOCA Platform Framework) operator model (BFB, DPUSet, DPUNode CRDs) High-Performance Interconnects: Understanding of Infini Band fabrics, NVLink / NMX-M partitioning, and Ro CEv2 Linux Kernel Networking: Advanced grasp of Linux netlink, network namespaces, routing tables, and internal DHCP/DNS service implementations (the project ships its own services) Cloud & Kubernetes Networking: Familiarity with CNI plugins (Calico, Cilium). OVS and DPDK experience is a plus Provisioning & Boot Infrastructure: Expertise in PXE/i PXE, UEFI, Secure Boot, measured boot, and TPM attestation Hardware Management: Proficiency in Redfish, IPMI, and BMC abstractions across heterogeneous hardware platforms (Dell, Lenovo, NVIDIA reference hardware) Linux Systems Internals: In-depth knowledge of boot chains, systemd, initramfs, BIOS configuration matrices Identity & Security: Practical experience with PKI, X.509 certificates, TLS, SPIFFE/SVID, Vault, KMS, Keycloak (OAuth2/JWT), and RBAC Virtualization: Experience with Kube Virt / KVM Kubernetes Control Planes: Experience writing custom controllers/operators using kube-rs or controller-runtime with CRD-driven reconciliation loop patterns Demonstrated participation or maintaining open-source systems projects #J-18808-Ljbffr