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.
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.
- Commitment to test-driven design, writing highly testable code with mock interfaces for external service dependencies.
- Proven track record of writing crisp architectural specs and engaging in constructive, cross-functional design reviews.
Desired
- Advanced SQL / PostgreSQL fluency.
- Expertise in BGP, MP-BGP, EVPN, VXLAN, L3VNI, route targets, and route server design. Hands-on experience with SONiC, Cumulus Linux, and NVUE.
- Deep knowledge of NVIDIA DOCA, Host-Based Networking (HBN), BlueField DPU architectures, and the DPF (DOCA Platform Framework) operator model.
Requirements
Rust expertise
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.
API design
Experience in gRPC/Protobuf contract design and schema evolution.
Kubernetes knowledge
Experience writing custom controllers/operators using kube-rs.
Testing discipline
Commitment to test-driven design and writing highly testable code.
Nice to Have
Advanced SQL / PostgreSQL fluency is a plus.
Expertise in datacenter protocols like BGP, MP-BGP, and EVPN.
Deep knowledge of NVIDIA DOCA and BlueField DPU architectures.