Principal AI & Automation Engineer
Core
Architecting intelligent, self-adaptive test automation frameworks and leading QA strategies for cloud-native, microservices-based broadband systems.
Role type
Principal AI & Automation Engineer (Quality Engineering)
Builds
Scalable, modular, AI-augmented test automation frameworks and predictive quality analytics tools for DOCSIS/PON platforms.
Domain
Telecommunications / Broadband Networks / Quality Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, Go, Shell scripting, Linux/Ubuntu, CI/CD pipelines, traffic generation tools (IXIA, ByteBlower), observability stacks, software architecture, AI/ML integration for testing
Preferred skills
Kubernetes, Docker, cloud-native test environments, networking protocols (TCP/UDP, BGP, ISIS), data engineering concepts, MLOps workflows
Technologies
Python, Go, Shell, Jenkins, GitLab CI, Git, IXIA, ByteBlower, Kubernetes, Docker
Responsibilities
Architect and build scalable, AI-augmented test automation frameworks; Design self-healing and adaptive test systems using AI/ML; Implement shift-left and shift-right QA strategies; Develop data-driven and model-based testing approaches; Lead automation efforts for cloud-native DOCSIS/PON platforms; Mentor engineers on modern QA practices and AI-driven automation
Seniority
Principal, technical leadership & hands-on architecture
