Additionalinformation

Additional Information

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.

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We are a Leader for Container Management in G2 (#2 after AWS)!

We are a Leader for Container Management in G2 (#2 after AWS)!

Companydescription

Company Description

About Mirantis

Mirantis 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 serves many of the world’s leading enterprises, including Adobe, DocuSign, Liberty Mutual, PayPal, Reliance Jio, Societe Generale, Splunk, and Volkswagen. Learn more at www.mirantis.com.

Jobdescription

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 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.

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.