We are seeking a talented and ambitious individual to take on this role. In this position, you will have a significant impact on our organization’s success by leading the architecture and development of cutting-edge cloud-native applications.

Responsibilities

Deploy Cloud-Native Apps: containerizing and orchestrating applications via Docker and Kubernetes.

Design Microservices: Develop scalable, event-driven backend microservices using Python, Go, or Java.

Model Network Topologies: Implement robust data models (YANG, OpenConfig) and manage complex network structures using Graph and Time-Series databases.

Data Architecture: Manage highly interconnected network data using Graph databases (Neo4j) and time-series telemetry pipelines.

API & Integration: Create robust gRPC/REST APIs to ingest network state data and expose simulation engine capabilities.

Intelligent Automation: Support the integration of AI/ML models into the data pipeline for predictive analytics.

Qualifications

You have:

Bachelor’s degree with 8–12 years of experience in cloud-native solution architecture and development.
Strong experience in cloud platforms, cloud-native solution architecture
Hands-on experience containerizing and orchestrating applications via Docker and Kubernetes.
Strong hands-on experience with Docker, Kubernetes, and event streaming (Kafka/RabbitMQ)
Strong knowledge of software engineering best practices, including APIs, automation platforms, version control, testing, CI/CD, deployment, and responsible AI principles related to governance, security, and privacy.

It would be nice if you also had:

Solid understanding of Layer 0/1 optical networking, DWDM, ROADM architectures, and YANG data modeling.
Experience integrating data science/ML frameworks (TensorFlow, PyTorch) into production software pipelines.