Senior Software Engineer (Rust)

Our engineering team builds next-generation, cloud-native bare-metal orchestration platforms for AI neo-cloud environmentsWe 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 systemsThis shared foundation enables rigorous design reviews, effective cross-domain code reviews, and dependable on-call coverageOur development is fundamentally based on open-source projects, and contributing to them is a major part of our workWe develop primary control plane software in Rust and Go, leverage Kubernetes operators, and foster an OpenTelemetry-first operational cultureWe are seeking a Senior Software Engineer who combines strong software architecture principles with understanding of Datacenter Networking and DPU architecturesFitting 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 workloadsFamiliarity with automated bare-metal provisioning and lifecycle management is a strong assetControl Plane Development: Design, build, and maintain production-grade control plane microservices, custom Kubernetes operators, and robust reconciliation engines in Rust and GoArchitecture & API Design: Author clear Functional (FR) and Non-Functional Requirements (NFR), architectural specs, system sequence diagrams, and clean gRPC/Protobuf and REST API schemasNetwork Integration: Develop custom integration modules and integrations for modern network operating systems (SONiC, NVUE, Cumulus) and DPU hardware platformsObservability & Diagnostics: Instrument services end-to-end using OpenTelemetry (OTel) traces and metrics, performing systematic root-cause analysis across polyglot distributed systemsQuality & Engineering Excellence: Participate in rigorous, review-gated pull request workflows across Rust, Go, and SQL codebases while ensuring high test coverage via mock-driven testingKubernetes Control Planes: Experience writing custom controllers/operators using kube-rs with CRD-driven reconciliation loop patternsAPIs & Serialization: gRPC/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 dependenciesCollaborative Architecture: Proven track record of writing crisp architectural specs and engaging in constructive, cross-functional design reviewsPrimary 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 experienceConcurrency & Reliability: Strong background in async concurrency models, lock-free patterns, distributed state handling, and mock-driven testing discipline5+ years of software engineering experience in cloud-native platforms or systems programmingAdvanced SQL / PostgreSQL fluencyDatacenter 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)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)High-Performance Interconnects: Understanding of InfiniBand fabrics, NVLink / NMX-M partitioning, and RoCEv2Linux 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 plusProvisioning & Boot Infrastructure: Expertise in PXE/iPXE, UEFI, Secure Boot, measured boot, and TPM attestationHardware 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 matricesIdentity & Security: Practical experience with PKI, X.509 certificates, TLS, SPIFFE/SVID, Vault, KMS, Keycloak (OAuth2/JWT), and RBACVirtualization: Experience with KubeVirt / KVMKubernetes Control Planes: Experience writing custom controllers/operators using kube-rs or controller-runtime with CRD-driven reconciliation loop patternsDemonstrated participation or maintaining open-source systems projects#J-*****-Ljbffr

mock-driven testingKubernetes Control Planes: Experience writing custom controllers/operators using kube-rs with CRD-driven reconciliation loop patternsAPIs & Serialization: gRPC/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 dependenciesCollaborative Architecture: Proven track record of writing crisp architectural specs and engaging in constructive, cross-functional design reviewsPrimary 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 experienceConcurrency & Reliability: Strong background in async concurrency models, lock-free patterns, distributed state handling, and mock-driven testing discipline5+ years of software engineering experience in cloud-native platforms or systems programmingAdvanced SQL / PostgreSQL fluencyDatacenter 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)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)High-Performance Interconnects: Understanding of InfiniBand fabrics, NVLink / NMX-M partitioning, and RoCEv2Linux 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 plusProvisioning & Boot Infrastructure: Expertise in PXE/iPXE, UEFI, Secure Boot, measured boot, and TPM attestationHardware 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 matricesIdentity & Security: Practical experience with PKI, X.509 certificates, TLS, SPIFFE/SVID, Vault, KMS, Keycloak (OAuth2/JWT), and RBACVirtualization: Experience with KubeVirt / KVMKubernetes Control Planes: Experience writing custom controllers/operators using kube-rs or controller-runtime with CRD-driven reconciliation loop patternsDemonstrated participation or maintaining open-source systems projects#J-*****-Ljbffr

Our engineering team builds next-generation, cloud-native bare-metal orchestration platforms for AI neo-cloud environmentsWe 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 systemsThis shared foundation enables rigorous design reviews, effective cross-domain code reviews, and dependable on-call coverageOur development is fundamentally based on open-source projects, and contributing to them is a major part of our workWe develop primary control plane software in Rust and Go, leverage Kubernetes operators, and foster an OpenTelemetry-first operational cultureWe are seeking a Senior Software Engineer who combines strong software architecture principles with understanding of Datacenter Networking and DPU architecturesFitting into our T-shaped engineering model, you will drive the development of control planes powering high-density, high-throughput infrastructure for AI