Job Description

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

- 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 gRPC/Protobuf and REST API schemas.

- Network Integration:



Develop custom integration modules and integrations for modern network operating systems (SONiC, NVUE, Cumulus) and DPU hardware platforms.

- Observability & Diagnostics: Instrument services end-to-end using OpenTelemetry (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.

Qualifications

Required:

- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent practical experience.

- 5+ years of software engineering experience in cloud-native platforms or systems programming

- Primary mastery of Rust (Tokio async runtime, Tonic, Axum, sqlx) and proficiency in Go (secondary).

- Concurrency & Reliability: Strong background in async concurrency models, lock-free patterns, distributed state handling, and mock-driven testing discipline.

- APIs & Serialization: gRPC/Protobuf contract design (via tonic/prost) and schema evolution (using zero-copy serialization and compile-time type generation).

- Kubernetes Control Planes: Experience writing custom controllers/operators using kube-rs with CRD-driven reconciliation loop patterns.





- 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.

Desired:

- Advanced SQL / PostgreSQL fluency

- 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).

- 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 RoCEv2.

- 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/iPXE, 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.

📌 Senior Software Engineer (Barcelona)
🏢 Mirantis
📍 Barcelona