DevTest Director

Location: Raanana About Us: DriveNets is a leader in disaggregated high-scale networking solutions for service providers and AI infrastructures. Founded in December 2015, DriveNets created a radical new way to build networks by adapting the architectural model of the cloud to telco-grade networking. This solution accelerates network deployment, improves the network’s economic model, and radically simplifies network operations. With customers including Comcast, Orange, and KDDI, over 80% of AT&T’s network traffic now runs through a disaggregated core powered by DriveNets software. DriveNets Network Cloud-AI solution, introduced in 2023, delivers high-performance Ethernet-based AI networking and is already deployed by Hyperscalers, NeoClouds, and Enterprises. With over $587M raised, DriveNets continues to push the boundaries of modern networking infrastructure. We are looking for a DevTest Directorr with strong expertise in AI-driven testing and a proven ability to lead teams through the adoption of AI tools and methodologies. This role combines leadership, quality engineering, and innovation, with a focus on transforming traditional testing into a scalable, AI-enabled practice. You will lead multiple DevTest teams, drive strategy, and implement AI-based solutions to significantly improve efficiency, productivity, and quality across the organization. Key Responsibilities Lead and manage multiple DevTest teams, including team leads and engineers Define and execute the AI adoption strategy within DevTest Drive the transition from manual/automation testing to AI-assisted and AI-driven testing Identify and implement AI-based testing solutions (e.g., test generation, self-healing tests, intelligent execution) Build and scale AI-enabled frameworks and tools for E2E testing Collaborate with R&D and Product managers to integrate AI into the development lifecycle Ensure high standards of quality, coverage, and reliability across all testing activities Analyze metrics and KPIs to continuously improve DevTest efficiency and effectiveness Mentor and develop team members in both technical (with extra attention to AI capabilities) and managerial path Promote a culture of innovation, learning, and continuous improvement What Success Looks Like DevTest teams effectively using AI in daily workflows Significant improvement in testing efficiency/quality and productivity Increased test coverage and faster feedback cycles Successful rollout of AI tools and frameworks across teams Teams upskilled and confident in working with AI Requirements Leadership & DevTest 5+ years of experience in SW Development / Quality Engineering. experience in QA, leading QA teams – advantage 2+ years of experience managing teams or group-level leadership Strong background in test automation, E2E testing, and CI/CD environments Experience working in complex, distributed systems Experience in Telco - advantage AI & Data Expertise Hands-on experience with AI/ML-based tools or solutions in testing or development Strong understanding of AI concepts (LLMs, ML basics, data-driven systems) Experience leading or participating in AI adoption initiatives Familiarity with AI-assisted development tools (e.g., Cursor, Copilot, ChatGPT) Ability to evaluate and implement AI tools to improve engineering workflows Technical Skills Proficiency in Python, Java, or similar languages Experience with modern testing frameworks and tools Understanding of data analysis and working with large datasets Experience with LLM-based systems and prompt engineering Background in data pipelines or analytics systems Experience building internal platforms or tooling Familiarity with cloud environments (AWS/GCP/Azure) – nice to have Leadership & Soft Skills Strong leadership and organizational skills Proven ability to lead organizational change and transformation Strategic thinking with a hands-on approach Excellent communication and stakeholder management High level of ownership and execution