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 deep technical domain expertise in 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.
Technical Qualifications
Language Proficiency: Primary mastery of Rust (Tokio async runtime, Tonic, Axum, sqlx) and strong proficiency in Go.
Data & APIs: Advanced SQL / PostgreSQL fluency, gRPC/Protobuf contract design, and schema evolution.
Concurrency & Reliability: Strong background in async concurrency models, lock-free patterns, distributed state handling, and mock-driven testing discipline.
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.
Identity & Security: Practical experience with PKI, X.509 certificates, TLS, SPIFFE/SVID, Vault, KMS, Keycloak (OAuth2/JWT), and RBAC.
Virtualization: Experience with KubeVirt / KVM.
Kubernetes Control Planes: Experience writing custom controllers/operators using kube-rs or controller-runtime with CRD-driven reconciliation loop patterns.
Universal Requirements
Testing Discipline: Commitment to test-driven design, writing highly testable code with mock interfaces for external hardware and network dependencies.
Collaborative Architecture: Proven track record of writing crisp architectural specs and engaging in constructive, cross-functional design reviews.
Educational & Experience Baseline
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, systems programming, networking, or infrastructure automation.
Demonstrated participation or maintainership in open-source systems projects is a plus.
What does Mirantis offer you?
Work with an established Silicon Valley leader in the cloud infrastructure industry;
Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
Be a part of cutting-edge, open-source innovation;
Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
Professional development and training;
Attend conferences and working groups;
Company outings, happy hours, hackathons, and tech talks;
Receive a competitive compensation package with a strong benefits plan.
We are a Leader for Container Management in G2 (#2 after AWS)!
Mirantis, an IREN company, is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.
Mirantis is the Kubernetes-native AI infrastructure company that enables organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. The company combines open source innovation with deep expertise in Kubernetes orchestration to empower platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. Mirantis delivers automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures customers retain full control of their infrastructure strategy.
