The Role
We're building a new orchestration platform for AI datacenters—software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence.
You'll join a small, growing engineering team where every engineer ships. In this hands-on development role, you'll build backend services, contribute to system design, and own features from implementation through production, working closely with experienced engineers.
If you enjoy solving challenging engineering problems, building new products, and seeing your work run at scale in real AI datacenters, this role is for you.
What You'll Do
- Build and maintain core services and features for an orchestration platform spanning compute, networking, and accelerators.
- Translate customer requirements into APIs, workflows, and data models in collaboration with the team.
- Deliver features end-to-end, from prototyping and implementation to testing, deployment, and production support.
- Write reliable, maintainable code and contribute to shared libraries, automated tests, and CI/CD pipelines.
- Contribute to design discussions and make practical implementation tradeoffs around performance, reliability, and simplicity.
- Participate in code reviews, share knowledge, and help improve engineering practices.
- Troubleshoot issues and improve service performance, observability, and operational readiness.
Why This Role Is Different
You'll help build a new platform from its early stages, with meaningful ownership of features and a direct impact on the product. Working alongside experienced engineers, you'll contribute to the platform's foundation, deepen your distributed systems expertise, and ship software built for real-world scale.
Requirements-5+ years of professional software development experience**, including building and maintaining production backend services.
- Strong backend development skills, preferably in Python, and experience building REST and/or GraphQL APIs.
- Practical understanding of distributed systems concepts, including scalability, resilience, and failure handling.
- Experience with SQL and/or NoSQL databases, data modeling, and query performance.
- Experience writing automated tests and working with Git and CI/CD workflows.
- Familiarity with multithreading, locks and synchronization mechanisms, performance analysis and optimization.
- Ability to take ownership of features, communicate clearly, and collaborate effectively within a small team.
Nice to Have
- Familiarity with TypeScript, React, and modern web application architecture.
- Experience with cloud platforms (AWS, GCP, or Azure), containers, and Kubernetes.
- Experience with observability tools such as OpenTelemetry, Prometheus, Grafana, or Datadog.
- Familiarity with secure coding practices and common application security risks.
- Experience with orchestration systems, provisioning pipelines, cluster management, or schedulers.
- Exposure to AI/GPU infrastructure or high-performance networking.
Skills Required
- 5+ years of professional software development experience
- Experience building and maintaining production backend services
- Strong backend development skills, preferably in Python
- Experience building REST and/or GraphQL APIs
- Understanding of distributed systems, including scalability, resilience, and failure handling
- Experience with SQL and/or NoSQL databases, data modeling, and query performance
- Experience writing automated tests
- Experience working with Git and CI/CD workflows
- Familiarity with multithreading, locks, synchronization mechanisms, performance analysis, and optimization
- Ability to own features, communicate clearly, and collaborate effectively
- Familiarity with TypeScript, React, and modern web application architecture
- Experience with AWS, GCP, or Azure
- Experience with containers and Kubernetes
- Experience with OpenTelemetry, Prometheus, Grafana, or Datadog
- Familiarity with secure coding practices and common application security risks
- Experience with orchestration systems, provisioning pipelines, cluster management, or schedulers
- Exposure to AI/GPU infrastructure or high-performance networking
What We Do
DriveNets is a rapidly growing software company that has created a radical new way for service providers and hyperscalers to build their networking infrastructure. DriveNets Network Cloud and DriveNets Network Cloud-AI are new innovative networking solutions that apply the cloud architectural approach to high-scale networking. They bring together the scalability of standard Ethernet Clos architecture with the high performance and reliability of service provider networking, delivering optimal networking performance, scale and cost structure for service providers and hyperscalers. Founded by Ido Susan and Hillel Kobrinsky, two successful telco entrepreneurs, DriveNets Network Cloud is the leading open disaggregated networking solution based on cloud-native software running over standard white boxes. Over three funding rounds, DriveNets raised $587 million. Its solutions are used by tens of service providers globally and are in proof-of-concept and lab trials at dozens of operators and hyperscalers, consistently ranking #1 in trials for breadth of capabilities and solution quality. AT&T, the largest backbone in the US, deployed DriveNets Network Cloud across its core network, and DriveNets is currently transporting more than 52% of AT&T’s core network traffic. DriveNets is engaged with over 100 Tier-1 operators and cloud-providers on large projects in North America, Asia and Europe.
