Senior/Backend Engineer – AI Infrastructure, Distributed Systems & Network Automation
Listed on 2026-07-10
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Software Development
Backend Developer, Cloud Engineer - Software, DevOps, Golang
The Role
We are looking for a senior backend engineer to help design, own, and build the distributed control-plane services behind the Netris platform.
Our platform automates and manages the networking infrastructure powering modern AI factories, GPU clusters, cloud providers, and large-scale datacenter environments. In this role, you will build the distributed systems responsible for orchestration, automation, state management, observability, and lifecycle operations across complex infrastructure deployments.
This role requires strong backend engineering fundamentals, hands-on distributed systems experience, and the ability to translate high-level infrastructure requirements into scalable, production-grade system designs and implementations.
Engineers in this role are expected to take ownership across architecture, implementation, reliability, observability, and long-term system evolution within a fast-moving infrastructure startup environment.
What You’ll Do- Own the design and implementation of scalable backend services powering network automation workflows
- Drive architectural decisions across APIs, internal services, and distributed control-plane components
- Build REST APIs using Node.js and gRPC services using Golang
- Improve system scalability, observability, resiliency, and operational reliability
- Collaborate closely with infrastructure, networking, and product teams
- Drive engineering best practices around reliability, testing, and CI/CD
- 5+ years of backend engineering experience
- Strong experience with Node.js and Golang
- Experience with MariaDB/MySQL, MongoDB, Redis, gRPC, Linux, and containers
- Strong understanding of scalability, reliability, observability, and operational excellence
- Ability to translate high-level requirements into technical designs and production-ready implementations
- Experience in infrastructure, networking, or cloud companies
- Familiarity with Kubernetes and event-driven systems
- Experience building multi-tenant SaaS platforms
- Experience with AI infrastructure environments
- Build systems operating at massive scale
- Join a small, senior engineering organization
- Influence architecture and product direction
- Work on infrastructure powering next-generation AI environments
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