Principal - Go +Control Plane / Data plane

The Role :

We are seeking a talented and passionate Senior Backend Engineer to join our Control Plane team. The control plane is the intelligent core of our entire platform—the distributed brain responsible for routing intelligence, policy enforcement, and state management across our customers' global networks. You will not be just another backend developer; you will be building the sophisticated logic that makes our multi-cloud networking solution smart, secure, and scalable. This is a hands-on role where you will solve complex distributed systems problems and have a direct impact on the core functionality of our product.

Responsibilities :

Design and Develop Control Plane Services : Architect, build, and maintain highly scalable, resilient, and fault-tolerant microservices in Go and Python that form the backbone of our control plane.

Implement Routing and Policy Engines : Develop the core software components responsible for implementing complex routing logic and enforcing granular security policies across multiple cloud providers.

Build Robust APIs : Create and maintain clean, efficient, and well-documented gRPC and REST APIs to facilitate communication between our services and enable programmatic control for our users.

Manage Distributed State : Design and implement strategies for managing state in a distributed environment, leveraging message queues (like Kafka or NATS) and databases to ensure data consistency and reliability.

Ensure System Reliability : Write clean, maintainable, and well-tested code. You will build systems with debuggability and observability in mind to simplify troubleshooting and ensure operational excellence.

Collaborate and Innovate : Work closely with product managers and engineers from the data plane and infrastructure teams to deliver cohesive, end-to-end solutions for our customers.

Required Qualifications :

10+ years of professional experience in backend or distributed systems engineering.

Expert-level proficiency in Go and / or Python.

Proven experience designing and building high-performance, public-facing APIs (gRPC, REST).

A strong, fundamental understanding of distributed systems, including concepts like concurrency, state management, and fault tolerance.

Hands-on experience with event-driven architectures using message queues or streaming platforms such as Kafka or NATS.

Experience building and operating services in a major cloud environment (AWS, GCP, or Azure).

Preferred Qualifications :

A startup mindset : you are proactive, thrive in a fast-paced environment, and are passionate about taking ownership of your work.

A conceptual understanding of fundamental networking protocols (TCP / IP, BGP, etc.) and how they inform software design.

Experience with containerization and orchestration technologies (Docker, Kubernetes).

Familiarity with CI / CD pipelines and infrastructure-as-code principles.

Experience contributing to open-source software projects.