About the Role
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.
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).
- Strong background in async concurrency models, lock-free patterns, distributed state handling, and mock-driven testing discipline.
- gRPC/Protobuf contract design (via tonic/prost) and schema evolution (using zero-copy serialization and compile-time type generation).
- Experience writing custom controllers/operators using kube-rs with CRD-driven reconciliation loop patterns.
Requirements
Software Engineering Experience
5+ years of software engineering experience in cloud-native platforms or systems programming.
Rust Mastery
Primary mastery of Rust, including Tokio async runtime, Tonic, Axum, and sqlx.
Concurrency Knowledge
Strong background in async concurrency models and distributed state handling.
API Design Skills
Experience with gRPC/Protobuf contract design and schema evolution.
Kubernetes Experience
Experience writing custom controllers/operators using kube-rs.
Nice to Have
Familiarity with DPU architectures is a strong asset.
Familiarity with automated bare-metal provisioning and lifecycle management.
Benefits
Remote Work
This position offers the flexibility to work remotely.
Open Source Contribution
Opportunity to contribute to open-source projects.