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As a Staff Infrastructure Software Engineer, you'll join our R&D center in Tel Aviv. You'll be a pivotal member of a cross-functional group working with multiple development teams to build the infrastructure, tooling, and standards for infrastructure and infra-related coding across our company's R&D. This role emphasizes research, programming, building scalable systems, and hands-on operational work in production environments. You'll play a critical role in shaping the future of transportation, affecting millions of riders daily worldwide.

What Youll Do:
Develop, drive, execute, and lead a long-term vision and strategy for our infrastructure, and tooling.
Create scalable, reliable, and efficient systems that enhance our technological foundation and support our growing scale and stability requirements.
Engage in hands-on coding and development, writing, building, deploying, and maintaining code in production environments.
Actively participate in day-to-day production operations alongside research and development, implementing real changes in production systems and directly addressing operational challenges.
Work closely with various development teams, moving between the four teams in our group as needed to address business objectives and tackle the biggest R&D challenges.
Work across a broad spectrum of technological disciplines, from network and operating system internals to high-level architecture planning.

We are looking for an experienced Team Lead to contribute to the development of our Artificial Intelligence SDK. This is an exciting opportunity to work with highly talented engineers and be a part of product innovation on cutting-edge technologies in the Artificial Intelligence/Deep Learning domain. If you are an excellent, bright, hands-on engineer with a passion for making a difference apply to join our group!

As a leading software engineer in our group, you will analyze modern Artificial Intelligence workloads, and define and develop our SDK Our set of development tools built and optimized to automatically compile and map AI code to run on our platform. Those tools include optimization algorithms, compilers, simulators, profilers, and more.

You will get a deep understanding of AI-centric SW and HW architectures as well as end-to-end use cases and Deep Learning algorithms/pipelines, work, and interact with external vendors and customers for requirement gathering and correct integration of new features.

What Youll Do:
Design and implement the internal Agent libraries and frameworks that allow Agent teams to build their features with a simple and consistent user experience (logging, hostname resolution, health API, etc), connect their Agent components to our intakes, and easily communicate with other Agent components.
Develop and maintain core functionality for the runtimes that the Agent uses (Go, Python, etc).
Investigate, develop, and maintain core architectures that allow the Agent to be small, fast, and composable.
Solve complex cross team projects/problems with multiple levels of stakeholders.
Investigate and implement new approaches for reducing the Agent footprint and increasing overall performance.
Lead and guide other engineers in their growth and development.
Collaborate closely with partner teams that integrate and depend on the Agent to provide critical capabilities to their customers.
Support the growth of the Agent adoption and featureset.

Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
Develop the mid-term technical goal and roadmap within the scope of our often multiple teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
Review code developed by other engineers and provide feedback to ensure practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

Join the cutting-edge CloudGuard AI Security engineering team, where you will be part of a top talented team collaborating to shape and secure next-generation AI-enabled public cloud environments. You will create proof-of-concepts, design robust architectures, and develop products that address the evolving security challenges of AI adoption in modern enterprises.

Key Responsibilities
Pioneer AI Security Solutions: Design, build, and refine innovative security products for AI-driven cloud environments.
Design & Own UI/UX of the security solution
Architect & Own EKS-Based Backends: Lead the development of AI security microservices, ensuring high performance, scalability, and reliability.
Full Development Lifecycle: Contribute to every stage, from initial design to deployment, while maintaining best-in-class coding standards.
Continuous Learning & Adapting: Stay current on the fast-paced AI landscape, enterprise use cases, and emerging threat vectors.
Collaborate & Innovate: Work together with product architects and cross-functional teams to refine requirements and deliver groundbreaking security solutions.
Job Id: 22511