About the Role
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
Rust mastery
Primary mastery of Rust with experience in Tokio async runtime, Tonic, Axum, and sqlx.
Cloud-native experience
5+ years of software engineering experience in cloud-native platforms or systems programming.
Concurrency knowledge
Strong background in async concurrency models and distributed state handling.
API design
Experience with gRPC/Protobuf contract design and schema evolution.
Kubernetes expertise
Experience writing custom controllers/operators using kube-rs.
Nice to Have
Familiarity with DPU architectures is a strong asset.
Experience with automated bare-metal provisioning and lifecycle management.