Responsibilities
- Design and build platform services including control planes, policy and enforcement paths, and APIs.
- Own services end to end from architecture and implementation through deployment and production operations.
- Solve distributed-systems challenges across on-premises, public-cloud, and SaaS environments.
- Build infrastructure paths for AI inference and serving, agent runtimes, and data flows.
- Implement security guarantees including identity and access, workload isolation, secrets handling, and secure-by-default patterns.
- Translate data residency, isolation, encryption, and access-control requirements into implementable designs.
- Improve team technical quality through design reviews, code reviews, and pairing.
Requirements
- BSc in Computer Science or equivalent practical experience.
- At least 5 years building, shipping, and operating server-side software in production.
- Deep experience with complex distributed systems spanning multiple environments, including consistency, partial failure, upgrades, rollouts, scale, and production debugging.
- Strong proficiency in at least one modern backend language such as Java, Go, or Python, with solid API and data-modeling skills.
- Working knowledge of at least one major cloud platform such as AWS, Azure, or GCP, including AI workload deployment.
- Experience using AI coding agents such as Claude or Cursor in day-to-day work.
- Preferred: hands-on experience with AI agents, agent orchestration, tool use, MCP, prompt and context engineering, retrieval, and agent evaluation.
- Preferred: experience deploying and operating AI workloads, including inference and serving, GPU scheduling, and model and data pipelines.
- Preferred: experience with AI security, sovereign or regulated environments, and AI governance or compliance automation.
- Preferred: familiarity with ISO/IEC 42001, the NIST AI Risk Management Framework, or the EU AI Act.
- Preferred: M.Sc. or Ph.D. in Computer Science, Cybersecurity, or Machine Learning.
Benefits
- Opportunities for career advancement and personal growth.
- Access to diverse training programs.
- Performance-based rewards.
- Hybrid setup with 3 days in the office and 2 days working from home; the posting also states that candidates must work onsite in the Tel Aviv office and visit the site at least 3 times per week.
- Office location: 121 Menachem Begin Road, Tel Aviv, 61st floor, in the POINT office complex.
About Lenovo
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Guided by its vision of “Smarter Technology for All”, Lenovo is executing a Hybrid AI strategy that spans Personal AI – one personal AI, multiple devices; and Enterprise AI – helping customers turn data into insights and value. This strategy is delivered through the Group’s commitment to world-class innovation and a full-stack AI portfolio, including devices (PCs, workstations, smartphones, tablets, accessories), infrastructure solutions (server, storage, edge, high performance computing and software defined infrastructure), as well as software, solutions, and services. With a global footprint spanning 21 research and development locations in 11 markets, and a global supply chain including more than 30 manufacturing sites across 10 markets, Lenovo is widely recognized for its operational excellence, including ranking #8 in the Gartner Supply Chain Top 25. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). To find out more visit https://www.lenovo.com, and read about the latest news via our StoryHub at https://news.lenovo.com/. To learn more about our career opportunities, visit our careers page at http://jobs.lenovo.com/.